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The most innovative companies in applied AI for 2025

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Tuesday, March 18, 2025

It’s been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side. Numerous AI startups found traction offering such solutions during 2024. Glean, for example, puts cutting-edge AI search capabilities in the hands of employees so that they can tap into various apps and platforms to find documents and corporate intelligence. Contextual AI lets organizations put a company’s proprietary intelligence into a secure data store, then lets them build AI apps that can call on that data. Enterprises are also using AI apps to protect softer corporate assets, such as reputation. Blackbird.AI offers a web app that enterprises use to monitor how their brand name is portrayed in social media posts, videos, links, and memes. Other standout AI apps focuse on specific industries. Google DeepMind put drug discovery ahead by years when it improved on its AlphaFold model, which now can model and predict the behaviors of proteins and other actors within the cell. Harvey has found its legs within the legal industry by offering an AI legal assistant that can write briefs, summarize and compare cases, and more. Coding assistants grew considerably–both in capability and usage–during 2024. Anysphere’s Cursor tool, for example, helped advance the genre from simply completing lines or sections of code to building whole software functions based on the plain language input of a human developer.1. GleanFor arming employees with the tools to get their jobs doneCompanies contain a lot of information that’s crucial for employees to know, but it’s spread out across an array of workplace apps: Slack, Microsoft 365, Google Workspace, Salesforce, and more. Five-year-old Glean offers a user-friendly AI-powered search tool that allows employees to find information and generate answers across more than 100 data sources.In June 2024, the company transformed its existing enterprise AI assistant and search engine into a platform called Work AI platform. It allows employees of all technical backgrounds to quickly generate personalized, accurate answers—and even create their own no-code tools to make the agents work better for the specifics of their jobs and businesses. The Work AI suite also includes a Glean Actions tool, which enables the AI assistant to directly take action on an employee’s behalf within a company’s connected applications. Actions could involve reading data from an application and executing a specific task, creating Jira tickets, publishing new content, or searching for code.In September, Glean doubled down on its user-friendly proposition by making it even easier for non-technical employees to get the most from its tools with next-generation prompting features. These features include a Prompt Builder feature, which allows users to create their own directives for the AI assistant, and a Prompt Library, which includes suggested prompts from Glean, as well ones that a company has shared in its own prompt library.According to a November 2024 report in The Information, Glean was generating around $100 million in annual recurring revenue, more than tripling that metric over the past year. The company closed two funding rounds in 2024: $200 million in February and $260 million in September at a $4.6 billion valuation. Its 200+ customers include Reddit, Instacart, Pinterest, Duolingo, and Databricks.Read more about Glean, honored as No. 6 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.2. AnysphereFor giving developers a coding partner with contextual awarenessCursor AI has emerged as a standout in the growing field of AI code editors. The company behind it, Anysphere, made the smart design choice of building the UX based on Microsoft’s Visual Studio Code, a familiar programming environment. Cursor also can access a developer’s or company’s existing code base as a way of fine-tuning code suggestions.Cursor acts like a coding partner that’s aware of the context in which code is being created. It offers code auto-completions, and not just of single lines–it can generate entire sections of code, and then explain the reasoning behind them. Or the developer can explain a new feature or function in plain language and the AI will code a prototype of it.Anysphere says Cursor now has more than 40,000 customers. Developers in online forums say that after using Cursor, they can’t go back to GitHub Copilot. In August, the startup raised a $60 million A round at a $400 million valuation from Andreessen Horowitz, Thrive Capital, OpenAI, Google’s Jeff Dean, OpenAI’s Noam Brown, and the founders of Stripe, GitHub, Ramp, and Perplexity. Four months later it raised a Series B round that closed in January 2025 with $105 million invested, raising its valuation to $2.6 billion.Read more about Anysphere, honored as No. 26 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.3. Blackbird.AIFor arming NATO and others with AI that detects AI disinformationBusinesses and other organizations must constantly be aware of how their name is being used in the digital environment, and be able to react quickly if their brand and reputation are distorted by misinformation or disinformation. In 2024 Blackbird.AI released its Compass platform, which lets individual users reality check or get greater context around suspicious claims made in social media posts, videos, links, or memes. The user pastes the content into the Compass tool, which checks it against thousands of trustworthy online sources.In October 2024 Blackbird.AI launched “Compass Vision,” a new AI-based tool for identifying AI deepfake images and videos. Customers can access Compass Vision directly through Blackbird.AI’s platform, or they can use its API to integrate it with their existing threat intelligence and social listening systems. As companies continue to more aggressively protect their market value and brand equity in the digital space, the market for “narrative intelligence” services is likely to grow to as much as $70 billion annually, Blackbird.AI believes. The company has already positioned itself well, and expects its revenues to double or triple over the next year. Blackbird.AI has raised more than $20 million in venture capital so far.4. Google DeepMindFor unfolding the mysteries of structural biochemistryGoogle DeepMind CEO Demis Hassabis and director of research John Jumper won the 2024 Nobel Prize in Chemistry for their parts in discovering and developing the AlphaFold AI models, which can predict the complex structures of virtually all known proteins. Proteins control and drive all chemical reactions within the bodies of organisms, including humans, so the tool is of great interest to researchers in drug development, material science, and environmental science.In 2024 DeepMind expanded its AlphaFold AI system to model how proteins interact with other cell structures, including DNA, RNA, and small molecules that are often used in drugs. The new system, called AlphaFold 3, can model the ways in which proteins “read” our DNA and then carry out the instructions in the body. It lets drug researchers quickly model how new drug compounds might react with certain receptor sites in the body, which could accelerate the exploratory phase of drug development. Traditionally this work has been done experimentally, in a wet lab. Google DeepMind developed AlphaFold 3 in collaboration with London-based Isomorphic Labs, an AI-based drug discovery lab it spun out into an independent unit within Google parent company Alphabet. Isomorphic is now working with Novartis and Eli Lilly. While drugs based on AlphaFold’s breakthroughs are yet to come, it’s already instigated a revolution in structural biochemistry.5. DeepLFor translating everyday business communications into 33 languages, including traditional Chinese and ArabicFast and accurate translation are crucial for multinational corporations, and generative AI has been a natural complement to existing services. One service provider, DeepL, has emerged as a standout for the accuracy and cost-effectiveness of its AI. The company already serves more than 150,000 businesses, governments, and other organizations across the legal, tech, media, manufacturing, and retail industries, including known names such as Nikkei, Panasonic Connect, Zendesk, and Morningstar.In November 2024 the company released DeepL Voice for Meetings, which lets participants speak in their preferred language during meetings and video calls, with real-time captions of others’ comments in their chosen language. DeepL Voice for Conversations does the same thing, but for one-on-one conversations happening on mobile devices. In July 2024, DeepL deployed a new large language model of its own, which its says significantly outperforms LLMs from OpenAI, Google, and Microsoft for translation. DeepL also added Traditional Chinese and Arabic languages to its platform, bringing total supported languages to 33. Beyond translation, DeepL launched a new tool called DeepL Write, designed to help professionals improve their business writing skills.In May 2024 DeepL raised a $300 million funding round and saw its valuation rise to $2 billion–doubling its valuation after its previous funding round a year earlier.6. PerplexityFor turning generative AI into a rival to traditional search, especially for election coveragePerplexity is one of the biggest success stories of the current AI boom. Its “answer engine” has revitalized web search, using a combination of homegrown large language models (LLMs), third-party models (from OpenAI, Anthropic, DeepSeek and others) and web crawlers to return custom answers that are highly relevant and fastidiously cited. The San Francisco-based company saw its user base grow throughout 2024, as it added new features and functions to its platform. Perplexity began experimenting with ads and referrals on its platform late in 2024, and launched “Shop like a Pro”, an AI-powered shopping assistant that lets users research and even purchase products within Perplexity. Users of the Perplexity mobile app users can even snap pictures of items to see related products and buying information.Perplexity’s most surprising creation during 2024 may have been the AI-powered Election Information Hub it launched before the November 2024 U.S. elections. The hub offered voters real-time updates, candidate information, and ballot measure summaries, along with AI-generated analysis based on reliable data from The Associated Press and Democracy Works. Perplexity’s clear, verifiable approach to election coverage gained significant attention during the run-up to the elections.7. Contextual AIFor making the next generation of AI more accurate and efficientTo avoid hallucinations and keep answers on point, AI developers use what’s called retrieval-augmented generation (RAG), where large language models are fed relevant information used to respond to specific queries. Cofounded by CEO Douwe Kiela, who pioneered RAG while at Meta, Contextual AI emerged from stealth mode in June 2023 with a mission to use the power of RAG to build more accurate LLMs for enterprises.In March 2024, the company introduced RAG 2.0, a system that trains LLMs and the RAG ystem together, resulting in Contextual Language Models that are tuned for specific purposes for which they outperform leading commercial and open source models. Contextual also worked with the Allen Institute for Artificial Intelligence to develop OLMoE, an AI system introduced in September that uses an approach called “mixture of experts,” in which a specialized subsection of the model is called on to answer a given question, leaving most of the other model parameters at rest. This can increase a model’s accuracy while making it faster and more energy efficient.Contextual, which counts HSBC, Qualcomm and The Economist as customers, announced in August 2024 that it raised an $80 million Series A round to fund further development of its enterprise-grade AI systems.8. HarveyFor giving lawyers a trustworthy AI agentUsing large language models in legal work has long been a tantalizing possibility. But fears over inaccuracies due to AI hallucinations have caused the legal field to move slowly in their adoption of them. Harvey has managed some real innovations aimed at making its AI legal assistant more reliable and transparent about its work. The Harvey Assistant can read and analyze cases and other data faster than a human lawyer or legal assistant, and can draft documents, analyze information, and answer questions about hundreds of complex legal files.Harvey gave the Assistant some important upgrades in August 2024. It added a series of specialized modes tailored to different kinds of legal work, it trained its AI to refine and expand on its initial responses, and it improved the system’s outputs and processing speed. Harvey says the new version of Assistant reduces AI hallucinations by 60% and improves the accuracy of cited sources by 23%. In a move to demystify the way the assistant comes up with its answers, Harvey released a report called “BigLaw Bench” describing its model training and evaluation methodologies.The company more than tripled its employees during 2024, and added more than 100 new customers in 15 countries. With a new $100 million funding round in July 2024, the company saw its valuation rise to $1.5 billion.9. Khan AcademyFor empowering students and their teachers with a free AI writing coachIn 2023, Khan Academy launched Khanmigo, an experimental AI tutor designed to give students one-on-one help in tasks such as practicing math problems, brainstorming project ideas, and analyzing literature. Since then, thousands of students and teachers have started using the tool, and Khan Academy has been busy adding new tools and features to the platform.During 2024, the non-profit built some important new functionality into its Khanamigo Writing Coach, which had originally been designed to act as a writing tutor for students. The tool now helps teachers, too, giving them access to detailed reports on student progress. It generates high-level insights on the writing challenges of individual students, and even helps teachers identify difficulties that multiple students in the class are facing. All this addresses a real challenge in English education–the time constraints teachers face when providing feedback on writing.Khan Academy cites a real-life example of a teacher with 100 students who typically needed 17 hours to review the first drafts of a two-page essay assignment, assuming the teacher spent 10 minutes on each paper. In an era when AI offers to do our writing for us, Khanamigo Writing Coach is instead focused on helping students break through barriers to effective written communication—and on helping teachers guide them along the way.10. SpeakFor supercharging English-language learning with live conversational roleplaysSpeak’s AI English tutor app, which is widely used in Korea and Japan, has been around for years. But the company took a big step forward during 2024 with a little help from OpenAI. The app already offered an English tutor that could teach and converse, but the conversations felt slow and unnatural. That’s because Speak’s system had to transcribe the user’s speech, run it through a text-based LLM workflow, then synthesize the AI character’s speech. Each of these steps created gaps and errors in the back-and-forth, which was disruptive to the learning process.Then Speak became one of the first companies to get access to OpenAI’s Realtime API, using it to power its “Live Roleplays” feature. The Realtime API is unique in that it’s powered by AI that treats both text and voice in the same way–as common tokens within a multi-modal model. So no conversions are necessary, making the model’s response time super-fast.As a result, Speak’s tutor can generate its voice responses with almost no delay. This makes exchanges between student and AI tutor feel much more fluid and natural. And that’s very important, because the best and fastest way to learn another language is through real life conversations. Speak may not be exactly real-life, but with OpenAI’s help it’s a lot closer to real-time.11. PikaFor making a state-of-the-art video generator that’s accessible to nonprofessionalsPika’s founders, Demi Guo and Chenlin Meng, dropped out of Stanford’s artificial intelligence PhD program in 2023 to pursue a big idea. The world needed a world-class video generation app that was designed for regular people–not just professional creators, film-makers and AI early adopters.The duo and their new company got the attention of the AI industry with the release of the second version of their model, Pika 1.5, and the accompanying app, in September 2024. People soon began pumping out videos using the app’s motion control and effects such as Pikaffects, with which users can melt, inflate, crush, squish or explode pretty much anything. This unleashed a wave of videos that were perfect for social media sites like TikTok.In December 2024, the company dropped its Pika 2.0 model, which introduced the ability to dress up videos with people, objects, and places from photos they upload to the app. Just a month later, it launched its 2.1 model, which added an Advanced Motion Control feature, which made animation or high-motion video more fluid and natural-looking.Pika is still a very young company, but it’s already taken a place in the top tier of AI video generators, along with OpenAI’s Sora, Runway’s Gen-3 Alpha, and Google’s Veo.12. CanvaFor bringing Gen AI design to the largest organizationsCanva has the most popular app in the design and creative category, with more than 100 million downloads in the Google Play store alone. The company has been busily adding AI features to its app, and many of its users are embracing them. In 2024, Canva continued expanding its Magic Studio suite of AI tools. The suite, which is aimed at designers within organizations big and small, now includes 12 native AI products built on proprietary models from Canva and its partners, including OpenAI, Google and Runway. They include a “text to graphic” generation tool, AI photo editing, and a feature that assembles a highlight reel of the best clips from a longer video.Canva also strengthened its AI hand in 2024 by acquiring Leonardo.Ai, a generative AI platform specializing in image and video that’s used by 19 million creatives globally. Canva was quick to begin powering its own new features using Leonardo’s powerful Phoenix foundation model, starting with the new Dream Lab image generator it launched in October. Canva did meet with some backlash when it raised the prices of its Teams plans because of the new AI features. Still, Canva it says its growth has continued to accelerate, reaching 220 million monthly active users by year-end, the last 20 million of those added in the fourth quarter alone.13. SalesforceFor letting customers design no-code AI agents that can handle customer service, marketing, and moreSalesforce moved rapidly to embrace AI agents during 2024, pivoting from its former “Einstein” AI platform to Agentforce, a new platform that lets Salesforce customers design their own no-code agents to handle customer service, sales, marketing, scheduling and other tasks. Agents go beyond chatbots by being able to perform work-related tasks without the constant supervision of humans. They can, for example, analyze data, make decisions, and work through tasks step by step on the user’s behalf.For example, Salesforce offers an agent called Sales Development Representative (SDR) that can engage with sales prospects at any time of the day, answer questions, schedule sales meetings, and even manage objections. In the second half of 2024 Salesforce released two major versions of the Agentforce platform. The vision is big—agents could be as significant a shift for business software as the move to the cloud 25 years ago—and while it’s still early, the first adopters of the technology include some big names, such as Disney, OpenTable, Saks Fifth Avenue, and Wiley.On an early December earnings call, Salesforce CEO Marc Benioff said his company is “unleashing this new era of digital labor for every business and industry.” He added that even though the Agentforce platform had only been available since late October, his company had already “signed 200 deals” to give companies access.14. OsmoFor teaching AI how to smellThe startup Osmo, which was spun out of Google Research in 2022, has developed a way of giving AI the sense of smell. The company–which is backed by Google Ventures, Lux Capital, and the Bill & Melinda Gates Foundation–developed an AI system that can identify and recreate odors. It uses a number of sensitive sensors to detect molecules in the air that create odors, then feeds the sensor data to its AI models, which can represent the molecules digitally, as tokens within a neural network. The system can also create totally new scents, such as might be used in perfumes.Beyond the obvious application in the fragrance industry, Osmo has already tested its system for the detection of counterfeit goods, which usually have a very different olfactory signature than legit products. From July through September of 2024, Osmo deployed its system of sensors and models for four weeks at a fulfillment center for an online marketplace, where it gave hundreds of boxes of shoes the smell test. In the end Osmo proved there to be a measurable smell difference between authentic and counterfeit shoes, and that its system can ID the fakes quickly and accurately. It’s likely that many meaningful applications for Osmo’s AI haven’t yet been realized, such as in security work, disease detection or–you guessed it–Smell-o-vision.15. EvolutionaryScaleFor applying AI to design new proteins that the world needsEvolutionaryScale is an AI company that develops advanced artificial intelligence models for biological research, particularly focusing on proteins. The company’s main product is ESM3, an generative AI model for biology that can reason over the sequence, structure, and function of proteins. ESM3 can be used to generate new protein designs that would take millions of years to evolve in nature, and that can be realized through synthetic biology methods, the company says. Such proteins could be useful in environmental science and materials science. In 2024 ESM3 generated a new Green Fluorescent Protein (GFP), a type of protein responsible for the glowing effect seen in jellyfish and the vibrant fluorescent colors of coral. As a result of its unique properties, GFP has become an important tool in molecular biology, helping scientists to see molecules inside cells. EvolutionaryScale also published a paper in Nature that detailed how a team of scientists utilized a variant model called ESMFold to unveil deep and distant evolutionary relationships within the flavivirus family, which includes viruses such as hepatitis C, dengue, and Zika. In 2024 the company raised a $142 million round from noted AI investors Nat Friedman and Daniel Gross, along with Lux Capital, Amazon, and Nvidiz’s venture capital arm, and others.Explore the full 2025 list of Fast Company’s Most Innovative Companies, 609 organizations that are reshaping industries and culture. We’ve selected the companies making the biggest impact across 58 categories, including advertising, applied AI, biotech, retail, sustainability, and more.

It’s been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side. Numerous AI startups found traction offering such solutions during 2024. Glean, for example, puts cutting-edge AI search capabilities in the hands of employees so that they can tap into various apps and platforms to find documents and corporate intelligence. Contextual AI lets organizations put a company’s proprietary intelligence into a secure data store, then lets them build AI apps that can call on that data. Enterprises are also using AI apps to protect softer corporate assets, such as reputation. Blackbird.AI offers a web app that enterprises use to monitor how their brand name is portrayed in social media posts, videos, links, and memes. Other standout AI apps focuse on specific industries. Google DeepMind put drug discovery ahead by years when it improved on its AlphaFold model, which now can model and predict the behaviors of proteins and other actors within the cell. Harvey has found its legs within the legal industry by offering an AI legal assistant that can write briefs, summarize and compare cases, and more. Coding assistants grew considerably–both in capability and usage–during 2024. Anysphere’s Cursor tool, for example, helped advance the genre from simply completing lines or sections of code to building whole software functions based on the plain language input of a human developer.1. GleanFor arming employees with the tools to get their jobs doneCompanies contain a lot of information that’s crucial for employees to know, but it’s spread out across an array of workplace apps: Slack, Microsoft 365, Google Workspace, Salesforce, and more. Five-year-old Glean offers a user-friendly AI-powered search tool that allows employees to find information and generate answers across more than 100 data sources.In June 2024, the company transformed its existing enterprise AI assistant and search engine into a platform called Work AI platform. It allows employees of all technical backgrounds to quickly generate personalized, accurate answers—and even create their own no-code tools to make the agents work better for the specifics of their jobs and businesses. The Work AI suite also includes a Glean Actions tool, which enables the AI assistant to directly take action on an employee’s behalf within a company’s connected applications. Actions could involve reading data from an application and executing a specific task, creating Jira tickets, publishing new content, or searching for code.In September, Glean doubled down on its user-friendly proposition by making it even easier for non-technical employees to get the most from its tools with next-generation prompting features. These features include a Prompt Builder feature, which allows users to create their own directives for the AI assistant, and a Prompt Library, which includes suggested prompts from Glean, as well ones that a company has shared in its own prompt library.According to a November 2024 report in The Information, Glean was generating around $100 million in annual recurring revenue, more than tripling that metric over the past year. The company closed two funding rounds in 2024: $200 million in February and $260 million in September at a $4.6 billion valuation. Its 200+ customers include Reddit, Instacart, Pinterest, Duolingo, and Databricks.Read more about Glean, honored as No. 6 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.2. AnysphereFor giving developers a coding partner with contextual awarenessCursor AI has emerged as a standout in the growing field of AI code editors. The company behind it, Anysphere, made the smart design choice of building the UX based on Microsoft’s Visual Studio Code, a familiar programming environment. Cursor also can access a developer’s or company’s existing code base as a way of fine-tuning code suggestions.Cursor acts like a coding partner that’s aware of the context in which code is being created. It offers code auto-completions, and not just of single lines–it can generate entire sections of code, and then explain the reasoning behind them. Or the developer can explain a new feature or function in plain language and the AI will code a prototype of it.Anysphere says Cursor now has more than 40,000 customers. Developers in online forums say that after using Cursor, they can’t go back to GitHub Copilot. In August, the startup raised a $60 million A round at a $400 million valuation from Andreessen Horowitz, Thrive Capital, OpenAI, Google’s Jeff Dean, OpenAI’s Noam Brown, and the founders of Stripe, GitHub, Ramp, and Perplexity. Four months later it raised a Series B round that closed in January 2025 with $105 million invested, raising its valuation to $2.6 billion.Read more about Anysphere, honored as No. 26 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.3. Blackbird.AIFor arming NATO and others with AI that detects AI disinformationBusinesses and other organizations must constantly be aware of how their name is being used in the digital environment, and be able to react quickly if their brand and reputation are distorted by misinformation or disinformation. In 2024 Blackbird.AI released its Compass platform, which lets individual users reality check or get greater context around suspicious claims made in social media posts, videos, links, or memes. The user pastes the content into the Compass tool, which checks it against thousands of trustworthy online sources.In October 2024 Blackbird.AI launched “Compass Vision,” a new AI-based tool for identifying AI deepfake images and videos. Customers can access Compass Vision directly through Blackbird.AI’s platform, or they can use its API to integrate it with their existing threat intelligence and social listening systems. As companies continue to more aggressively protect their market value and brand equity in the digital space, the market for “narrative intelligence” services is likely to grow to as much as $70 billion annually, Blackbird.AI believes. The company has already positioned itself well, and expects its revenues to double or triple over the next year. Blackbird.AI has raised more than $20 million in venture capital so far.4. Google DeepMindFor unfolding the mysteries of structural biochemistryGoogle DeepMind CEO Demis Hassabis and director of research John Jumper won the 2024 Nobel Prize in Chemistry for their parts in discovering and developing the AlphaFold AI models, which can predict the complex structures of virtually all known proteins. Proteins control and drive all chemical reactions within the bodies of organisms, including humans, so the tool is of great interest to researchers in drug development, material science, and environmental science.In 2024 DeepMind expanded its AlphaFold AI system to model how proteins interact with other cell structures, including DNA, RNA, and small molecules that are often used in drugs. The new system, called AlphaFold 3, can model the ways in which proteins “read” our DNA and then carry out the instructions in the body. It lets drug researchers quickly model how new drug compounds might react with certain receptor sites in the body, which could accelerate the exploratory phase of drug development. Traditionally this work has been done experimentally, in a wet lab. Google DeepMind developed AlphaFold 3 in collaboration with London-based Isomorphic Labs, an AI-based drug discovery lab it spun out into an independent unit within Google parent company Alphabet. Isomorphic is now working with Novartis and Eli Lilly. While drugs based on AlphaFold’s breakthroughs are yet to come, it’s already instigated a revolution in structural biochemistry.5. DeepLFor translating everyday business communications into 33 languages, including traditional Chinese and ArabicFast and accurate translation are crucial for multinational corporations, and generative AI has been a natural complement to existing services. One service provider, DeepL, has emerged as a standout for the accuracy and cost-effectiveness of its AI. The company already serves more than 150,000 businesses, governments, and other organizations across the legal, tech, media, manufacturing, and retail industries, including known names such as Nikkei, Panasonic Connect, Zendesk, and Morningstar.In November 2024 the company released DeepL Voice for Meetings, which lets participants speak in their preferred language during meetings and video calls, with real-time captions of others’ comments in their chosen language. DeepL Voice for Conversations does the same thing, but for one-on-one conversations happening on mobile devices. In July 2024, DeepL deployed a new large language model of its own, which its says significantly outperforms LLMs from OpenAI, Google, and Microsoft for translation. DeepL also added Traditional Chinese and Arabic languages to its platform, bringing total supported languages to 33. Beyond translation, DeepL launched a new tool called DeepL Write, designed to help professionals improve their business writing skills.In May 2024 DeepL raised a $300 million funding round and saw its valuation rise to $2 billion–doubling its valuation after its previous funding round a year earlier.6. PerplexityFor turning generative AI into a rival to traditional search, especially for election coveragePerplexity is one of the biggest success stories of the current AI boom. Its “answer engine” has revitalized web search, using a combination of homegrown large language models (LLMs), third-party models (from OpenAI, Anthropic, DeepSeek and others) and web crawlers to return custom answers that are highly relevant and fastidiously cited. The San Francisco-based company saw its user base grow throughout 2024, as it added new features and functions to its platform. Perplexity began experimenting with ads and referrals on its platform late in 2024, and launched “Shop like a Pro”, an AI-powered shopping assistant that lets users research and even purchase products within Perplexity. Users of the Perplexity mobile app users can even snap pictures of items to see related products and buying information.Perplexity’s most surprising creation during 2024 may have been the AI-powered Election Information Hub it launched before the November 2024 U.S. elections. The hub offered voters real-time updates, candidate information, and ballot measure summaries, along with AI-generated analysis based on reliable data from The Associated Press and Democracy Works. Perplexity’s clear, verifiable approach to election coverage gained significant attention during the run-up to the elections.7. Contextual AIFor making the next generation of AI more accurate and efficientTo avoid hallucinations and keep answers on point, AI developers use what’s called retrieval-augmented generation (RAG), where large language models are fed relevant information used to respond to specific queries. Cofounded by CEO Douwe Kiela, who pioneered RAG while at Meta, Contextual AI emerged from stealth mode in June 2023 with a mission to use the power of RAG to build more accurate LLMs for enterprises.In March 2024, the company introduced RAG 2.0, a system that trains LLMs and the RAG ystem together, resulting in Contextual Language Models that are tuned for specific purposes for which they outperform leading commercial and open source models. Contextual also worked with the Allen Institute for Artificial Intelligence to develop OLMoE, an AI system introduced in September that uses an approach called “mixture of experts,” in which a specialized subsection of the model is called on to answer a given question, leaving most of the other model parameters at rest. This can increase a model’s accuracy while making it faster and more energy efficient.Contextual, which counts HSBC, Qualcomm and The Economist as customers, announced in August 2024 that it raised an $80 million Series A round to fund further development of its enterprise-grade AI systems.8. HarveyFor giving lawyers a trustworthy AI agentUsing large language models in legal work has long been a tantalizing possibility. But fears over inaccuracies due to AI hallucinations have caused the legal field to move slowly in their adoption of them. Harvey has managed some real innovations aimed at making its AI legal assistant more reliable and transparent about its work. The Harvey Assistant can read and analyze cases and other data faster than a human lawyer or legal assistant, and can draft documents, analyze information, and answer questions about hundreds of complex legal files.Harvey gave the Assistant some important upgrades in August 2024. It added a series of specialized modes tailored to different kinds of legal work, it trained its AI to refine and expand on its initial responses, and it improved the system’s outputs and processing speed. Harvey says the new version of Assistant reduces AI hallucinations by 60% and improves the accuracy of cited sources by 23%. In a move to demystify the way the assistant comes up with its answers, Harvey released a report called “BigLaw Bench” describing its model training and evaluation methodologies.The company more than tripled its employees during 2024, and added more than 100 new customers in 15 countries. With a new $100 million funding round in July 2024, the company saw its valuation rise to $1.5 billion.9. Khan AcademyFor empowering students and their teachers with a free AI writing coachIn 2023, Khan Academy launched Khanmigo, an experimental AI tutor designed to give students one-on-one help in tasks such as practicing math problems, brainstorming project ideas, and analyzing literature. Since then, thousands of students and teachers have started using the tool, and Khan Academy has been busy adding new tools and features to the platform.During 2024, the non-profit built some important new functionality into its Khanamigo Writing Coach, which had originally been designed to act as a writing tutor for students. The tool now helps teachers, too, giving them access to detailed reports on student progress. It generates high-level insights on the writing challenges of individual students, and even helps teachers identify difficulties that multiple students in the class are facing. All this addresses a real challenge in English education–the time constraints teachers face when providing feedback on writing.Khan Academy cites a real-life example of a teacher with 100 students who typically needed 17 hours to review the first drafts of a two-page essay assignment, assuming the teacher spent 10 minutes on each paper. In an era when AI offers to do our writing for us, Khanamigo Writing Coach is instead focused on helping students break through barriers to effective written communication—and on helping teachers guide them along the way.10. SpeakFor supercharging English-language learning with live conversational roleplaysSpeak’s AI English tutor app, which is widely used in Korea and Japan, has been around for years. But the company took a big step forward during 2024 with a little help from OpenAI. The app already offered an English tutor that could teach and converse, but the conversations felt slow and unnatural. That’s because Speak’s system had to transcribe the user’s speech, run it through a text-based LLM workflow, then synthesize the AI character’s speech. Each of these steps created gaps and errors in the back-and-forth, which was disruptive to the learning process.Then Speak became one of the first companies to get access to OpenAI’s Realtime API, using it to power its “Live Roleplays” feature. The Realtime API is unique in that it’s powered by AI that treats both text and voice in the same way–as common tokens within a multi-modal model. So no conversions are necessary, making the model’s response time super-fast.As a result, Speak’s tutor can generate its voice responses with almost no delay. This makes exchanges between student and AI tutor feel much more fluid and natural. And that’s very important, because the best and fastest way to learn another language is through real life conversations. Speak may not be exactly real-life, but with OpenAI’s help it’s a lot closer to real-time.11. PikaFor making a state-of-the-art video generator that’s accessible to nonprofessionalsPika’s founders, Demi Guo and Chenlin Meng, dropped out of Stanford’s artificial intelligence PhD program in 2023 to pursue a big idea. The world needed a world-class video generation app that was designed for regular people–not just professional creators, film-makers and AI early adopters.The duo and their new company got the attention of the AI industry with the release of the second version of their model, Pika 1.5, and the accompanying app, in September 2024. People soon began pumping out videos using the app’s motion control and effects such as Pikaffects, with which users can melt, inflate, crush, squish or explode pretty much anything. This unleashed a wave of videos that were perfect for social media sites like TikTok.In December 2024, the company dropped its Pika 2.0 model, which introduced the ability to dress up videos with people, objects, and places from photos they upload to the app. Just a month later, it launched its 2.1 model, which added an Advanced Motion Control feature, which made animation or high-motion video more fluid and natural-looking.Pika is still a very young company, but it’s already taken a place in the top tier of AI video generators, along with OpenAI’s Sora, Runway’s Gen-3 Alpha, and Google’s Veo.12. CanvaFor bringing Gen AI design to the largest organizationsCanva has the most popular app in the design and creative category, with more than 100 million downloads in the Google Play store alone. The company has been busily adding AI features to its app, and many of its users are embracing them. In 2024, Canva continued expanding its Magic Studio suite of AI tools. The suite, which is aimed at designers within organizations big and small, now includes 12 native AI products built on proprietary models from Canva and its partners, including OpenAI, Google and Runway. They include a “text to graphic” generation tool, AI photo editing, and a feature that assembles a highlight reel of the best clips from a longer video.Canva also strengthened its AI hand in 2024 by acquiring Leonardo.Ai, a generative AI platform specializing in image and video that’s used by 19 million creatives globally. Canva was quick to begin powering its own new features using Leonardo’s powerful Phoenix foundation model, starting with the new Dream Lab image generator it launched in October. Canva did meet with some backlash when it raised the prices of its Teams plans because of the new AI features. Still, Canva it says its growth has continued to accelerate, reaching 220 million monthly active users by year-end, the last 20 million of those added in the fourth quarter alone.13. SalesforceFor letting customers design no-code AI agents that can handle customer service, marketing, and moreSalesforce moved rapidly to embrace AI agents during 2024, pivoting from its former “Einstein” AI platform to Agentforce, a new platform that lets Salesforce customers design their own no-code agents to handle customer service, sales, marketing, scheduling and other tasks. Agents go beyond chatbots by being able to perform work-related tasks without the constant supervision of humans. They can, for example, analyze data, make decisions, and work through tasks step by step on the user’s behalf.For example, Salesforce offers an agent called Sales Development Representative (SDR) that can engage with sales prospects at any time of the day, answer questions, schedule sales meetings, and even manage objections. In the second half of 2024 Salesforce released two major versions of the Agentforce platform. The vision is big—agents could be as significant a shift for business software as the move to the cloud 25 years ago—and while it’s still early, the first adopters of the technology include some big names, such as Disney, OpenTable, Saks Fifth Avenue, and Wiley.On an early December earnings call, Salesforce CEO Marc Benioff said his company is “unleashing this new era of digital labor for every business and industry.” He added that even though the Agentforce platform had only been available since late October, his company had already “signed 200 deals” to give companies access.14. OsmoFor teaching AI how to smellThe startup Osmo, which was spun out of Google Research in 2022, has developed a way of giving AI the sense of smell. The company–which is backed by Google Ventures, Lux Capital, and the Bill & Melinda Gates Foundation–developed an AI system that can identify and recreate odors. It uses a number of sensitive sensors to detect molecules in the air that create odors, then feeds the sensor data to its AI models, which can represent the molecules digitally, as tokens within a neural network. The system can also create totally new scents, such as might be used in perfumes.Beyond the obvious application in the fragrance industry, Osmo has already tested its system for the detection of counterfeit goods, which usually have a very different olfactory signature than legit products. From July through September of 2024, Osmo deployed its system of sensors and models for four weeks at a fulfillment center for an online marketplace, where it gave hundreds of boxes of shoes the smell test. In the end Osmo proved there to be a measurable smell difference between authentic and counterfeit shoes, and that its system can ID the fakes quickly and accurately. It’s likely that many meaningful applications for Osmo’s AI haven’t yet been realized, such as in security work, disease detection or–you guessed it–Smell-o-vision.15. EvolutionaryScaleFor applying AI to design new proteins that the world needsEvolutionaryScale is an AI company that develops advanced artificial intelligence models for biological research, particularly focusing on proteins. The company’s main product is ESM3, an generative AI model for biology that can reason over the sequence, structure, and function of proteins. ESM3 can be used to generate new protein designs that would take millions of years to evolve in nature, and that can be realized through synthetic biology methods, the company says. Such proteins could be useful in environmental science and materials science. In 2024 ESM3 generated a new Green Fluorescent Protein (GFP), a type of protein responsible for the glowing effect seen in jellyfish and the vibrant fluorescent colors of coral. As a result of its unique properties, GFP has become an important tool in molecular biology, helping scientists to see molecules inside cells. EvolutionaryScale also published a paper in Nature that detailed how a team of scientists utilized a variant model called ESMFold to unveil deep and distant evolutionary relationships within the flavivirus family, which includes viruses such as hepatitis C, dengue, and Zika. In 2024 the company raised a $142 million round from noted AI investors Nat Friedman and Daniel Gross, along with Lux Capital, Amazon, and Nvidiz’s venture capital arm, and others.Explore the full 2025 list of Fast Company’s Most Innovative Companies, 609 organizations that are reshaping industries and culture. We’ve selected the companies making the biggest impact across 58 categories, including advertising, applied AI, biotech, retail, sustainability, and more.

It’s been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side. 

Numerous AI startups found traction offering such solutions during 2024. Glean, for example, puts cutting-edge AI search capabilities in the hands of employees so that they can tap into various apps and platforms to find documents and corporate intelligence. Contextual AI lets organizations put a company’s proprietary intelligence into a secure data store, then lets them build AI apps that can call on that data. Enterprises are also using AI apps to protect softer corporate assets, such as reputation. Blackbird.AI offers a web app that enterprises use to monitor how their brand name is portrayed in social media posts, videos, links, and memes. 

Other standout AI apps focuse on specific industries. Google DeepMind put drug discovery ahead by years when it improved on its AlphaFold model, which now can model and predict the behaviors of proteins and other actors within the cell. Harvey has found its legs within the legal industry by offering an AI legal assistant that can write briefs, summarize and compare cases, and more. 

Coding assistants grew considerably–both in capability and usage–during 2024. Anysphere’s Cursor tool, for example, helped advance the genre from simply completing lines or sections of code to building whole software functions based on the plain language input of a human developer.

1. Glean

For arming employees with the tools to get their jobs done

Companies contain a lot of information that’s crucial for employees to know, but it’s spread out across an array of workplace apps: Slack, Microsoft 365, Google Workspace, Salesforce, and more. Five-year-old Glean offers a user-friendly AI-powered search tool that allows employees to find information and generate answers across more than 100 data sources.

In June 2024, the company transformed its existing enterprise AI assistant and search engine into a platform called Work AI platform. It allows employees of all technical backgrounds to quickly generate personalized, accurate answers—and even create their own no-code tools to make the agents work better for the specifics of their jobs and businesses. The Work AI suite also includes a Glean Actions tool, which enables the AI assistant to directly take action on an employee’s behalf within a company’s connected applications. Actions could involve reading data from an application and executing a specific task, creating Jira tickets, publishing new content, or searching for code.

In September, Glean doubled down on its user-friendly proposition by making it even easier for non-technical employees to get the most from its tools with next-generation prompting features. These features include a Prompt Builder feature, which allows users to create their own directives for the AI assistant, and a Prompt Library, which includes suggested prompts from Glean, as well ones that a company has shared in its own prompt library.

According to a November 2024 report in The Information, Glean was generating around $100 million in annual recurring revenue, more than tripling that metric over the past year. The company closed two funding rounds in 2024: $200 million in February and $260 million in September at a $4.6 billion valuation. Its 200+ customers include Reddit, Instacart, Pinterest, Duolingo, and Databricks.

Read more about Glean, honored as No. 6 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.

2. Anysphere

For giving developers a coding partner with contextual awareness

Cursor AI has emerged as a standout in the growing field of AI code editors. The company behind it, Anysphere, made the smart design choice of building the UX based on Microsoft’s Visual Studio Code, a familiar programming environment. Cursor also can access a developer’s or company’s existing code base as a way of fine-tuning code suggestions.

Cursor acts like a coding partner that’s aware of the context in which code is being created. It offers code auto-completions, and not just of single lines–it can generate entire sections of code, and then explain the reasoning behind them. Or the developer can explain a new feature or function in plain language and the AI will code a prototype of it.

Anysphere says Cursor now has more than 40,000 customers. Developers in online forums say that after using Cursor, they can’t go back to GitHub Copilot. In August, the startup raised a $60 million A round at a $400 million valuation from Andreessen Horowitz, Thrive Capital, OpenAI, Google’s Jeff Dean, OpenAI’s Noam Brown, and the founders of Stripe, GitHub, Ramp, and Perplexity. Four months later it raised a Series B round that closed in January 2025 with $105 million invested, raising its valuation to $2.6 billion.

Read more about Anysphere, honored as No. 26 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2025.

3. Blackbird.AI

For arming NATO and others with AI that detects AI disinformation

Businesses and other organizations must constantly be aware of how their name is being used in the digital environment, and be able to react quickly if their brand and reputation are distorted by misinformation or disinformation. In 2024 Blackbird.AI released its Compass platform, which lets individual users reality check or get greater context around suspicious claims made in social media posts, videos, links, or memes. The user pastes the content into the Compass tool, which checks it against thousands of trustworthy online sources.

In October 2024 Blackbird.AI launched “Compass Vision,” a new AI-based tool for identifying AI deepfake images and videos. Customers can access Compass Vision directly through Blackbird.AI’s platform, or they can use its API to integrate it with their existing threat intelligence and social listening systems.

As companies continue to more aggressively protect their market value and brand equity in the digital space, the market for “narrative intelligence” services is likely to grow to as much as $70 billion annually, Blackbird.AI believes. The company has already positioned itself well, and expects its revenues to double or triple over the next year. Blackbird.AI has raised more than $20 million in venture capital so far.

4. Google DeepMind

For unfolding the mysteries of structural biochemistry

Google DeepMind CEO Demis Hassabis and director of research John Jumper won the 2024 Nobel Prize in Chemistry for their parts in discovering and developing the AlphaFold AI models, which can predict the complex structures of virtually all known proteins. Proteins control and drive all chemical reactions within the bodies of organisms, including humans, so the tool is of great interest to researchers in drug development, material science, and environmental science.

In 2024 DeepMind expanded its AlphaFold AI system to model how proteins interact with other cell structures, including DNA, RNA, and small molecules that are often used in drugs. The new system, called AlphaFold 3, can model the ways in which proteins “read” our DNA and then carry out the instructions in the body. It lets drug researchers quickly model how new drug compounds might react with certain receptor sites in the body, which could accelerate the exploratory phase of drug development. Traditionally this work has been done experimentally, in a wet lab.

Google DeepMind developed AlphaFold 3 in collaboration with London-based Isomorphic Labs, an AI-based drug discovery lab it spun out into an independent unit within Google parent company Alphabet. Isomorphic is now working with Novartis and Eli Lilly. While drugs based on AlphaFold’s breakthroughs are yet to come, it’s already instigated a revolution in structural biochemistry.

5. DeepL

For translating everyday business communications into 33 languages, including traditional Chinese and Arabic

Fast and accurate translation are crucial for multinational corporations, and generative AI has been a natural complement to existing services. One service provider, DeepL, has emerged as a standout for the accuracy and cost-effectiveness of its AI. The company already serves more than 150,000 businesses, governments, and other organizations across the legal, tech, media, manufacturing, and retail industries, including known names such as Nikkei, Panasonic Connect, Zendesk, and Morningstar.

In November 2024 the company released DeepL Voice for Meetings, which lets participants speak in their preferred language during meetings and video calls, with real-time captions of others’ comments in their chosen language. DeepL Voice for Conversations does the same thing, but for one-on-one conversations happening on mobile devices. In July 2024, DeepL deployed a new large language model of its own, which its says significantly outperforms LLMs from OpenAI, Google, and Microsoft for translation. DeepL also added Traditional Chinese and Arabic languages to its platform, bringing total supported languages to 33. Beyond translation, DeepL launched a new tool called DeepL Write, designed to help professionals improve their business writing skills.

In May 2024 DeepL raised a $300 million funding round and saw its valuation rise to $2 billion–doubling its valuation after its previous funding round a year earlier.

6. Perplexity

For turning generative AI into a rival to traditional search, especially for election coverage

Perplexity is one of the biggest success stories of the current AI boom. Its “answer engine” has revitalized web search, using a combination of homegrown large language models (LLMs), third-party models (from OpenAI, Anthropic, DeepSeek and others) and web crawlers to return custom answers that are highly relevant and fastidiously cited. 

The San Francisco-based company saw its user base grow throughout 2024, as it added new features and functions to its platform. Perplexity began experimenting with ads and referrals on its platform late in 2024, and launched “Shop like a Pro”, an AI-powered shopping assistant that lets users research and even purchase products within Perplexity. Users of the Perplexity mobile app users can even snap pictures of items to see related products and buying information.

Perplexity’s most surprising creation during 2024 may have been the AI-powered Election Information Hub it launched before the November 2024 U.S. elections. The hub offered voters real-time updates, candidate information, and ballot measure summaries, along with AI-generated analysis based on reliable data from The Associated Press and Democracy Works. Perplexity’s clear, verifiable approach to election coverage gained significant attention during the run-up to the elections.

7. Contextual AI

For making the next generation of AI more accurate and efficient

To avoid hallucinations and keep answers on point, AI developers use what’s called retrieval-augmented generation (RAG), where large language models are fed relevant information used to respond to specific queries. Cofounded by CEO Douwe Kiela, who pioneered RAG while at Meta, Contextual AI emerged from stealth mode in June 2023 with a mission to use the power of RAG to build more accurate LLMs for enterprises.

In March 2024, the company introduced RAG 2.0, a system that trains LLMs and the RAG ystem together, resulting in Contextual Language Models that are tuned for specific purposes for which they outperform leading commercial and open source models. Contextual also worked with the Allen Institute for Artificial Intelligence to develop OLMoE, an AI system introduced in September that uses an approach called “mixture of experts,” in which a specialized subsection of the model is called on to answer a given question, leaving most of the other model parameters at rest. This can increase a model’s accuracy while making it faster and more energy efficient.

Contextual, which counts HSBC, Qualcomm and The Economist as customers, announced in August 2024 that it raised an $80 million Series A round to fund further development of its enterprise-grade AI systems.

8. Harvey

For giving lawyers a trustworthy AI agent

Using large language models in legal work has long been a tantalizing possibility. But fears over inaccuracies due to AI hallucinations have caused the legal field to move slowly in their adoption of them. Harvey has managed some real innovations aimed at making its AI legal assistant more reliable and transparent about its work. The Harvey Assistant can read and analyze cases and other data faster than a human lawyer or legal assistant, and can draft documents, analyze information, and answer questions about hundreds of complex legal files.

Harvey gave the Assistant some important upgrades in August 2024. It added a series of specialized modes tailored to different kinds of legal work, it trained its AI to refine and expand on its initial responses, and it improved the system’s outputs and processing speed. Harvey says the new version of Assistant reduces AI hallucinations by 60% and improves the accuracy of cited sources by 23%. In a move to demystify the way the assistant comes up with its answers, Harvey released a report called “BigLaw Bench” describing its model training and evaluation methodologies.

The company more than tripled its employees during 2024, and added more than 100 new customers in 15 countries. With a new $100 million funding round in July 2024, the company saw its valuation rise to $1.5 billion.

9. Khan Academy

For empowering students and their teachers with a free AI writing coach

In 2023, Khan Academy launched Khanmigo, an experimental AI tutor designed to give students one-on-one help in tasks such as practicing math problems, brainstorming project ideas, and analyzing literature. Since then, thousands of students and teachers have started using the tool, and Khan Academy has been busy adding new tools and features to the platform.

During 2024, the non-profit built some important new functionality into its Khanamigo Writing Coach, which had originally been designed to act as a writing tutor for students. The tool now helps teachers, too, giving them access to detailed reports on student progress. It generates high-level insights on the writing challenges of individual students, and even helps teachers identify difficulties that multiple students in the class are facing. All this addresses a real challenge in English education–the time constraints teachers face when providing feedback on writing.

Khan Academy cites a real-life example of a teacher with 100 students who typically needed 17 hours to review the first drafts of a two-page essay assignment, assuming the teacher spent 10 minutes on each paper. In an era when AI offers to do our writing for us, Khanamigo Writing Coach is instead focused on helping students break through barriers to effective written communication—and on helping teachers guide them along the way.

10. Speak

For supercharging English-language learning with live conversational roleplays

Speak’s AI English tutor app, which is widely used in Korea and Japan, has been around for years. But the company took a big step forward during 2024 with a little help from OpenAI. The app already offered an English tutor that could teach and converse, but the conversations felt slow and unnatural. That’s because Speak’s system had to transcribe the user’s speech, run it through a text-based LLM workflow, then synthesize the AI character’s speech. Each of these steps created gaps and errors in the back-and-forth, which was disruptive to the learning process.

Then Speak became one of the first companies to get access to OpenAI’s Realtime API, using it to power its “Live Roleplays” feature. The Realtime API is unique in that it’s powered by AI that treats both text and voice in the same way–as common tokens within a multi-modal model. So no conversions are necessary, making the model’s response time super-fast.

As a result, Speak’s tutor can generate its voice responses with almost no delay. This makes exchanges between student and AI tutor feel much more fluid and natural. And that’s very important, because the best and fastest way to learn another language is through real life conversations. Speak may not be exactly real-life, but with OpenAI’s help it’s a lot closer to real-time.

11. Pika

For making a state-of-the-art video generator that’s accessible to nonprofessionals

Pika’s founders, Demi Guo and Chenlin Meng, dropped out of Stanford’s artificial intelligence PhD program in 2023 to pursue a big idea. The world needed a world-class video generation app that was designed for regular people–not just professional creators, film-makers and AI early adopters.

The duo and their new company got the attention of the AI industry with the release of the second version of their model, Pika 1.5, and the accompanying app, in September 2024. People soon began pumping out videos using the app’s motion control and effects such as Pikaffects, with which users can melt, inflate, crush, squish or explode pretty much anything. This unleashed a wave of videos that were perfect for social media sites like TikTok.

In December 2024, the company dropped its Pika 2.0 model, which introduced the ability to dress up videos with people, objects, and places from photos they upload to the app. Just a month later, it launched its 2.1 model, which added an Advanced Motion Control feature, which made animation or high-motion video more fluid and natural-looking.

Pika is still a very young company, but it’s already taken a place in the top tier of AI video generators, along with OpenAI’s Sora, Runway’s Gen-3 Alpha, and Google’s Veo.

12. Canva

For bringing Gen AI design to the largest organizations

Canva has the most popular app in the design and creative category, with more than 100 million downloads in the Google Play store alone. The company has been busily adding AI features to its app, and many of its users are embracing them.

In 2024, Canva continued expanding its Magic Studio suite of AI tools. The suite, which is aimed at designers within organizations big and small, now includes 12 native AI products built on proprietary models from Canva and its partners, including OpenAI, Google and Runway. They include a “text to graphic” generation tool, AI photo editing, and a feature that assembles a highlight reel of the best clips from a longer video.

Canva also strengthened its AI hand in 2024 by acquiring Leonardo.Ai, a generative AI platform specializing in image and video that’s used by 19 million creatives globally. Canva was quick to begin powering its own new features using Leonardo’s powerful Phoenix foundation model, starting with the new Dream Lab image generator it launched in October.

Canva did meet with some backlash when it raised the prices of its Teams plans because of the new AI features. Still, Canva it says its growth has continued to accelerate, reaching 220 million monthly active users by year-end, the last 20 million of those added in the fourth quarter alone.

13. Salesforce

For letting customers design no-code AI agents that can handle customer service, marketing, and more

Salesforce moved rapidly to embrace AI agents during 2024, pivoting from its former “Einstein” AI platform to Agentforce, a new platform that lets Salesforce customers design their own no-code agents to handle customer service, sales, marketing, scheduling and other tasks. Agents go beyond chatbots by being able to perform work-related tasks without the constant supervision of humans. They can, for example, analyze data, make decisions, and work through tasks step by step on the user’s behalf.

For example, Salesforce offers an agent called Sales Development Representative (SDR) that can engage with sales prospects at any time of the day, answer questions, schedule sales meetings, and even manage objections. In the second half of 2024 Salesforce released two major versions of the Agentforce platform. The vision is big—agents could be as significant a shift for business software as the move to the cloud 25 years ago—and while it’s still early, the first adopters of the technology include some big names, such as Disney, OpenTable, Saks Fifth Avenue, and Wiley.

On an early December earnings call, Salesforce CEO Marc Benioff said his company is “unleashing this new era of digital labor for every business and industry.” He added that even though the Agentforce platform had only been available since late October, his company had already “signed 200 deals” to give companies access.

14. Osmo

For teaching AI how to smell

The startup Osmo, which was spun out of Google Research in 2022, has developed a way of giving AI the sense of smell. The company–which is backed by Google Ventures, Lux Capital, and the Bill & Melinda Gates Foundation–developed an AI system that can identify and recreate odors. It uses a number of sensitive sensors to detect molecules in the air that create odors, then feeds the sensor data to its AI models, which can represent the molecules digitally, as tokens within a neural network. The system can also create totally new scents, such as might be used in perfumes.

Beyond the obvious application in the fragrance industry, Osmo has already tested its system for the detection of counterfeit goods, which usually have a very different olfactory signature than legit products. From July through September of 2024, Osmo deployed its system of sensors and models for four weeks at a fulfillment center for an online marketplace, where it gave hundreds of boxes of shoes the smell test. In the end Osmo proved there to be a measurable smell difference between authentic and counterfeit shoes, and that its system can ID the fakes quickly and accurately.

It’s likely that many meaningful applications for Osmo’s AI haven’t yet been realized, such as in security work, disease detection or–you guessed it–Smell-o-vision.

15. EvolutionaryScale

For applying AI to design new proteins that the world needs

EvolutionaryScale is an AI company that develops advanced artificial intelligence models for biological research, particularly focusing on proteins. The company’s main product is ESM3, an generative AI model for biology that can reason over the sequence, structure, and function of proteins. ESM3 can be used to generate new protein designs that would take millions of years to evolve in nature, and that can be realized through synthetic biology methods, the company says. Such proteins could be useful in environmental science and materials science. In 2024 ESM3 generated a new Green Fluorescent Protein (GFP), a type of protein responsible for the glowing effect seen in jellyfish and the vibrant fluorescent colors of coral. As a result of its unique properties, GFP has become an important tool in molecular biology, helping scientists to see molecules inside cells. EvolutionaryScale also published a paper in Nature that detailed how a team of scientists utilized a variant model called ESMFold to unveil deep and distant evolutionary relationships within the flavivirus family, which includes viruses such as hepatitis C, dengue, and Zika. In 2024 the company raised a $142 million round from noted AI investors Nat Friedman and Daniel Gross, along with Lux Capital, Amazon, and Nvidiz’s venture capital arm, and others.

Explore the full 2025 list of Fast Company’s Most Innovative Companies, 609 organizations that are reshaping industries and culture. We’ve selected the companies making the biggest impact across 58 categories, including advertisingapplied AIbiotechretailsustainability, and more.

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A proposed bill could reignite the long-running battle over new Oregon-Washington highway bypass

Environmentalists have vehemently fought similar proposals in the past.

Two lawmakers have revived an old proposal to potentially construct a highway bypass between Oregon and Washington as an alternative to Interstate 5, which they say would ease congestion in the Portland area.It’s an ambitious and controversial idea. The bill, introduced Thursday in the Oregon Senate, would require the state to study the effects of extending Oregon 127, which runs west of Portland, north across the Columbia River and connecting it to I-5 in Washington.The one-page bill is light on details and does not state where a potential highway extension would cross the Columbia River or where it would connect with I-5. Regardless, any proposed bypass would almost certainly cut through farmland or environmentally protected areas. For years, some state and local officials have unsuccessfully pitched similar highway extension projects in Washington County. Proponents say it would ease congestion for truckers and commuters who have to sit in daily traffic on I-5 or U.S. 26 in Portland, while also meeting the needs of a growing population.“Big transportation projects take forever, and I’d prefer that we get in front of the need rather than try to play catch up 30 years from now,” said Sen. Bruce Starr, a Republican from Dundee. Starr and Republican Sen. Suzanne Weber of Tillamook, both members of the legislative transportation committee, are the bill’s only sponsors.Environmentalists would likely oppose any highway extension project that arises from the study. They have vehemently fought similar proposals in the past, typically arguing that extending highways through farmland defies Oregon’s strict land use laws. They have argued that cities should instead invest in other environmentally-friendly solutions to reduce congestion.Any proposed extension of Oregon 127 would likely cut through areas protected by Oregon’s land use laws. The highway currently ends at U.S. 30 just south of Sauvie Island, much of which is zoned exclusively for farm use.“1000 Friends of Oregon opposes efforts to pave over our state’s precious farmlands or other natural resources without good reason,” Krystal Eldridge, spokesperson for the environmental nonprofit, said in an email. The farmland on Sauvie Island, she said, is “home to some of our region’s best soils, which are irreplaceable and essential to safeguard for the long-term benefit of our communities.”Starr said he would expect environmentalist opposition and described this bill as a “conversation-starter.” He reiterated that although the study would have to be completed by next September if the bill passes, any potential highway extension or bridge construction would require a public engagement process and would likely take years to get underway.“(Environmentalists) don’t understand that you got to move people and freight, and congestion only creates more pollution,” Starr said. “At the end of the day, you got to have level-headed folks that recognize what’s important as to making an economy work.”Oregon truckers and business groups who have typically supported highway extensions would likely throw their political weight behind any proposal designed to ease congestion.The likely battle between environmentalists and business groups over such a project reflects the delicate position that Oregon lawmakers find themselves in regarding transportation funding and policy. Lawmakers are currently crafting the state’s first major transportation package in eight years, which will require balancing the desires of cities, environmentalists, truckers and other interested groups.Cassie Wilson, transportation policy manager for 1000 Friends of Oregon, said she hopes lawmakers will continue to invest in public transit and safety improvements “over costly new projects the public has not asked for.”It’s unclear if the bill will move forward this session, which must end by late June. Rep. Susan McLain, a Democrat from Forest Grove and co-chair of the transportation committee, did not say whether she would support such a proposal. “Timing is everything,” she said in a text.— Carlos Fuentes covers state politics and government. Reach him at 503-221-5386 or cfuentes@oregonian.com.Our journalism needs your support. Subscribe today to OregonLive.com/subscribe.Latest local politics stories

Palisades and Eaton firefighters had elevated blood levels of mercury and lead, according to an early study

Early findings from an ongoing study report that a group of 20 firefighters tested after the Palisades and Eaton fires had higher-than-expected levels of mercury and lead in their blood.

The immediate risks faced by the firefighters who were on the front lines battling the Palisades and Eaton fires that tore through Los Angeles County may have abated, but long-term health concerns remain. A team of researchers tested the blood of a group of 20 firefighters who were called to duty when the wildfires hit Los Angeles County communities, and found that they had levels of lead and mercury in their blood that was significantly higher than what health experts consider to be safe — and also higher than firefighters exposed to a forest fire.The results are part of the longer-term LA Fire Health Study, which is investigating the health impacts of the January fires on those exposed to the toxins it released into the the environment. The team includes researchers from the Harvard T.H. Chan School of Public Health, the UCLA Fielding School of Public Health, UC Davis, the University of Texas at Austin, and the USC Keck School of Medicine.“What you need to worry about is some of these metals that, when they get burned, they get up in the air,” said Dr. Kari Nadeau, chair of the Department of Environmental Health at Harvard T.H. Chan School of Public Health and one of the researchers working on the project. “They can get into your lungs, and they can get into your skin, and they get can absorbed and get into your blood.”The group of 20 firefighters — who had come from Northern California to assist in the efforts — were tested just days after the fires were contained. They had toiled for long hours as the two fires razed entire communities, burning homes, cars, businesses, and a still unknown list of chemicals and metals. Combined, the fires killed 29 people and destroyed more than 16,000 structures. On average, said Nadeau, the firefighters had lead and mercury levels three and five times higher, respectively, than a control group of firefighters who fought a forest fire alone. According to the California Department of Public Health, the average blood lead level for adults in the United States is less than 1 microgram per deciliter.Researchers are still looking to expand the number of firefighters in the study, as well as the range of toxins they may have been exposed to. Nevertheless, even these limited and preliminary findings bolster a growing worry among firefighters that the L.A. fires may have exposed them to metals and chemicals with long-term health effects. “The results are pretty alarming,” said Dave Gillotte, a captain with the Los Angeles County Fire Department and president of the Los Angeles County Firefighters Local 1014. “We don’t just fear, but we’re quite confident that we’re going to see health impacts with our firefighters who fought these fires on the front lines.” Firefighters regularly risk exposure to chemicals and metals — including lead and mercury — when responding to house and commercial fires in an urban setting, Gillotte said. But response to a single house fire, for example, would likely last a few hours, not the days on end of the Palisades and Eaton fires. Firefighters also typically face prolonged exposure to the particulate matter in smoke when fighting wildfires in rural areas — but not the chemicals of an urban setting. The Eaton and Palisades fires presented a combined risk: a wildfire-like blaze with firefighters on the ground for extended periods in an urban setting, with electric vehicles, batteries, chemicals and metals burning in high heat, mixing and spreading with the same wind that was spreading the flames. “It was a more intense exposure as a result of the wind driving those toxins, even with our protective gear,” Gillotte said. According to Gillotte, these types of urban wildfires could cause long-term health impacts for first responders similar to those from events like the destruction of the World Trade Center on Sept. 11, 2001. Already, officials from the Sacramento Metropolitan Fire District, the Sacramento Fire Department, and Los Angeles County have begun to test their firefighters for metal and chemical exposure, Gillotte said. Meanwhile, as part of a separate study, Los Angeles city fire officials have also been looking at the health effects on its firefighters. “We are very concerned and worried,” said Los Angeles Fire Department Capt. Kevin Frank. The LAFD has so far taken blood and urine samples of about 350 of its firefighters, as part of an ongoing nationwide study, funded by the Federal Emergency Management Agency, to look at firefighters’ biomarkers and exposure to cancer-causing substances. That study — which is different than the LA Fire Health Study and the one mentioned by Gillotte — includes more than 7,000 firefighters from across the country.After the fires, Frank said, several firefighters who reported to Altadena and Pacific Palisades reported health issues, such as trouble breathing. Nadeau, who is working on the LA Fire Health Study, but not the FEMA-funded national study, noted that exposure to heavy metals can contribute to worse long-term health outcomes. Firefighters already face higher levels of some illnesses, such as autoimmune diseases, asthma and some cancers, she said. Fire officials said the life expectancy of a firefighter is about 10 years lower than that of the average person. The LA Fire Health study is still in its early stages. Nadeau says she and her colleagues plan to look for evidence of exposure to other heavy metals in addition to mercury and lead. “We’re going to be studying toxins that haven’t been studied” in firefighters before, she said. Typically, the results of studies like these are not made public until they have been peer-reviewed and published by a scientific journal. Nadeau said the consortium decided to share some of the preliminary data early, hoping to help residents, civic leaders and first responders understand the impacts of the fires. “You really want to know: ‘What’s in the air, what’s in the water, what’s in the ash that blew into my kitchen cabinet? Do I let my dog outside?’” she said. “All these questions were coming up and we thought, ‘We really need to serve the community.’” Indeed, while the initial findings will be focused on firefighters’ exposure, the team is also looking into residents’ exposure to heavy metals and chemicals.Nadeau is also looking ahead: The information, she says, could help fire officials as they face the possibility of another similar fire by helping them better understand the source of the chemicals, how safety equipment was used during the fires, and the efficacy of that gear.“I’d like to say this is the last of its kind, but we know it won’t be,” she said. “It’s not a matter of if, but a matter of when people undergo a fire like that again in L.A.”

US wine sellers and bars nervously wait for tariff decision: ‘It’s a sad situation’

Many winemakers halt shipments on chance White House makes good on threat of 200% markup on European goodsAs the threat of exorbitant US tariffs on European alcohol imports looms, a warehouse in the French port city of Le Havre awaits a delivery of more than 1,000 cases of wine from a dozen boutique wineries across the country.Under normal circumstances, Randall Bush, the founder of Loci Wine in Chicago, would have already arranged with his European partners to gather these wines in Le Havre, the last stop before they are loaded into containers and shipped across the Atlantic. But these wines won’t be arriving stateside anytime soon. Continue reading...

As the threat of exorbitant US tariffs on European alcohol imports looms, a warehouse in the French port city of Le Havre awaits a delivery of more than 1,000 cases of wine from a dozen boutique wineries across the country.Under normal circumstances, Randall Bush, the founder of Loci Wine in Chicago, would have already arranged with his European partners to gather these wines in Le Havre, the last stop before they are loaded into containers and shipped across the Atlantic. But these wines won’t be arriving stateside anytime soon.After the Trump administration threatened on 13 March to impose 200% tariffs on alcoholic products from Europe, many US importers like Bush have halted all outgoing shipments from Europe.The 1,100 cases of his wine, from family-owned producers in his company’s modest European portfolio, have already been paid for. But due to the tariff threat, they will remain stranded at their respective domaines at least until 2 April when the Trump administration is expected to reveal a “reciprocal tariff number” for each of its global trading partners.The newfound uncertainty around tariffs has many restaurant owners, beverage directors, liquor distributors and wine importers on edge in recent weeks. The only certainty among the trade professionals interviewed is that a 200% tariff would be catastrophic for the wine and spirits industry globally. And while most believe the actual number will end up much lower, everyone agrees that even modest tariffs would send shock waves throughout the entire food and beverage ecosystem, weakening distribution channels and further driving up already astronomical prices.“What scares me is how these hypothetical tariffs would affect [the many] European-themed restaurants like French bistros, Italian trattorias and German beer halls,” said Richard Hanauer, wine director and partner with Lettuce Entertain You. The Chicago-based group owns, manages and licenses more than 130 restaurants and 60 brands in a dozen different states and Washington DC. Hanauer predicts that concept-driven eateries that rely on European products would have to source wine and spirits from other regions because “the consumer is not going to accept the markup”.Even though Trump has been known to walk back dubious claims about tariffs before, the wine and spirits industry is taking this recent threat very seriously. Most American importers, such as Loci’s Bush, are adhering to the US Wine Trade Alliance’s (USWTA) guidance issued in mid-March warning its members to cease wine shipments from Europe. Without guarantees that any potential tariffs would come with a notice period or exemptions for wines shipped prior to their announcement, the organization had no choice but to advise its constituents to halt all EU wine shipments.“Once the wine is on the water, we have no power,” said Bush. “We’re billed by our shippers as soon as the wine arrives.”Tariffs are import taxes incurred by the importer and paid as a percentage of the value of the freight at the point of entry upon delivery. Since shipments from Europe can often take up to six to eight weeks to arrive, firms like Loci face the predicament of not knowing how much they will owe to take delivery of their products when they reach US ports.“We’ve had many US importers tell us that even a 50% unplanned tariff could bankrupt their businesses, so we felt we had no choice,” said Benjamin Aneff, president of the USWTA, of the organization’s injunction. “It’s a sad situation. These are mostly small, family-owned businesses.”Europe’s wineries can also ill afford to be dragged into a trade war with the United States. According to the International Trade Center, the US comprises almost 20% of the EU’s total wine exports, accounting for a total of $14.1bn (€13.1bn) of exported beverage, spirit and vinegar products from the EU in 2024.Many independent importers still recall Trump levying $7.5bn of tariffs on exports from the EU during his first presidency, which included 25% duties on Scotch whiskey, Italian cheeses, certain French wines and other goods. These retaliatory measures, which took effect in October 2019, resulted from a years-long trade dispute between the US and the EU over airline subsidies.“We were hit with duties in late 2019. But we negotiated with a lot of our suppliers, so we were able to stave off any significant price increases,” said André Tamers, the founder of De Maison Selections, a fine-wine importer with a large portfolio of French and Spanish wines and spirits. But because the Covid-19 pandemic hit shortly thereafter, Tamers admitted, it was difficult to gauge the impact of the first round of Trump tariffs. The Biden administration eventually rescinded the measures in June 2021.To pre-empt any potentially disastrous news on the tariff front, many restaurants and bars are ramping up inventory purchases to the extent that their budgets allow. “We made some large commitments for rosé season,” said Grant Reynolds, co-founder of Parcelle, which has an online wine shop as well as two bars and a bricks-and-mortar retail outlet in Manhattan. “To whatever we can reasonably afford, we’ve decided to secure those commitments sooner than later so that we can better weather the storm.”The same is true for many cocktail-focused bars around the country, which are looking to shore up supplies of popular spirits that could end up a victim of tariffs, including allocated scotches and rare cognacs.skip past newsletter promotionSign up to This Week in TrumplandA deep dive into the policies, controversies and oddities surrounding the Trump administrationPrivacy Notice: Newsletters may contain info about charities, online ads, and content funded by outside parties. For more information see our Privacy Policy. We use Google reCaptcha to protect our website and the Google Privacy Policy and Terms of Service apply.after newsletter promotion“If it becomes very apparent that these tariffs are going to go live, we could be looking at dropping close to $100,000 on inventory just to insulate ourselves because it will save us so much money over the next six months,” said Deke Dunne, beverage director of Washington DC’s award-winning cocktail bar Allegory. “It will have to be a game-time decision, though, because the last thing I want to do is to buy up a lot of inventory I don’t need.” Hanauer said that he’s seen some vendors offering wine buyers heavy discounts and incentives to stockpile cases of European products to prepare for the possibility of onerous tariffs.One bar owner feeling a little less panic compared with his industry counterparts is Fred Beebe, co-owner of Post Haste, a sustainability-minded cocktail bar in Philadelphia. Since it opened in 2023, Post Haste eschews imported spirits of any kind; the bar is stocked exclusively with US products from east of the Mississippi River. “We always thought it would be advantageous to have our producers close to us for environmental reasons and to support the local economy,” said Beebe, “but we didn’t necessarily think that it would also benefit from fluctuations in distribution or global economic policy.”Instead of serving popular European liquor brands such as Grey Goose vodka or Hendrick’s gin, the bar highlights local craft distillers such as Maggie’s Farm in Pittsburgh, which produces a domestic rum made from Louisiana sugar cane. After the recent tariff threats, Beebe says, the decision to rely on local products has turned out to be fortuitous. “I feel really bad for anyone who is running an agave-based program, a tequila or mezcal bar,” said Beebe. “They must be worried constantly about whether the price of all of their products are going to go up by 25% to 50%.”On the importing side, there is agreement that this is an inopportune moment for the wine industry to face new headwinds. Wine consumption has steadily declined in the United States in recent years as gen Z and millennial consumers are turning to cannabis, hard seltzers and spirits such as tequila, or simply embracing sobriety in greater numbers.“Unfortunately, the reality is that wine consumption was already down before this compared to what it was five years ago,” said Reynolds. “This obviously doesn’t help that. So, with more tariffs, you would start to see a greater shift of behaviors away from drinking wine.”But despite slumping sales and the impending tariff threats, niche importers like Tamers say they have little choice but to stay the course. “You leave yourself vulnerable, but if you don’t buy wine, then you don’t have any wine to sell. So, it’s a double-edged sword,” he said. “Our customers are still asking for these products, so there’s not much else we can do.”Aneff hopes that commonsense negotiations will lead to both parties divorcing alcohol tariffs from other trade disputes over aluminum, steel and digital services.“I do have some hope for a potential sectoral agreement on wine, and perhaps spirits, which would benefit domestic producers and huge numbers of small businesses on both sides of the Atlantic,” he said. “I can’t think of anything that would bring more joy to people’s glasses than ensuring free trade on wine.”

Smart ways to legally lower your 2025 tax bill

Learn five effective ways to legally reduce your 2025 tax contribution, including Tax-Free Savings Accounts... The post Smart ways to legally lower your 2025 tax bill appeared first on SA People.

With tax season approaching in mid-July, now is the time to start planning how to minimize your 2025 tax contribution. While South Africa is facing a proposed VAT increase of 1% over two years, there are still legal strategies to safeguard your income. Here are five key ways to maximize deductions and reduce your tax burden. 1. Maximise your Tax-Free Savings Account (TFSA) Investing in a TFSA is one of the simplest ways to grow your wealth without worrying about taxation. Earnings from these accounts—whether from unit trusts, fixed deposits, or bonds—are entirely tax-free, provided you stay within the limits: R36,000 per tax year R500,000 lifetime limit 2. Contribute to a Retirement Annuity (RA) Retirement annuities not only secure your future but also offer significant tax deductions. Contributions to pension, provident, and RA funds are tax-deductible up to 27.5% of your taxable income (capped at R350,000 annually). If you have additional cash on hand, topping up your RA can lower your taxable income while building long-term savings. 3. Support a Public Benefit Organisation (PBO) Donations to registered non-profits or Public Benefit Organisations (PBOs) can earn you a tax break. SARS allows deductions of up to 10% of your taxable income for contributions to approved charities, covering areas like education, healthcare, and environmental conservation. 4. Track your business travel If you receive a travel allowance, keeping detailed records can significantly reduce your taxable income. SARS allows 80% of this allowance to be tax-free, provided you maintain an accurate travel logbook. 5. Join a medical aid scheme Enrolling in a medical aid plan provides monthly tax credits, reducing your overall tax bill. This applies to the main member and extends to dependents, offering a financial advantage for families. By taking advantage of these legal tax-saving strategies, you can optimize your finances and reduce your 2025 tax contribution while staying fully compliant with SARS regulations. The post Smart ways to legally lower your 2025 tax bill appeared first on SA People.

The Disaster After the Disaster: Many Contaminants May Be Overlooked in the Wake of the L.A. Fires 

Why one Santa Monica resident has spent $8,000 testing for toxins on local beaches. The post The Disaster After the Disaster: Many Contaminants May Be Overlooked in the Wake of the L.A. Fires  appeared first on .

Since fires erupted across Los Angeles County in January, Ashley Oelsen has spent several hours each day collecting ash and soot from the beach outside of her Santa Monica apartment. Oelsen, a conservation biologist who sits on Santa Monica’s Commission on Sustainability, Environmental Justice and the Environment, worries about the dark-colored, pungent piles of burned debris that continue to mix with the sand, plant life and ocean water.  “I’m concerned about the way it will affect us long term,” she said. “It’s endless amounts of worry about the impact of the contaminants.”  Oelsen said she has spent about $8,000 of her own money shipping her beach samples to laboratories to test for toxic materials.   More than 16,200 structures burned in the Palisades and Eaton wildfires, raising concerns about toxic ash. Many of the incinerated homes and businesses contained various heavy metals, such as copper, lead, zinc and aluminum. Some older homes were constructed with asbestos or lead paint. Newer devices like electric cars or solar panels held lithium batteries. Exposure to these materials presents such significant health risks as cardiovascular disease and reduced lung function.  Researchers at the University of California, Santa Barbara, found that wildfire ash can fertilize algae, which can lead to a depletion of oxygen in the water. This kills the algae, as well as fish — and species that rely on both for sustenance.  Craig Nelson, oceanography professor at the University of Hawaii at Mānoa, heard similar concerns from residents following the Lahaina wildfires in August of 2023.   “Our main concern was things coming from melted plastic, things coming from burned wood and burned structural material that made [their] way into the water,” he said. “We didn’t find anything. We’re pleased but not terribly surprised.” Nelson said not much is known about pyrogenic material — the substances generated during a fire.  “What we know is that when you heat up any molecule, it often changes,” he said. “When you’re measuring them, you have to know exactly what it looks like. There’s thousands of compounds that you could be looking for, some of which fall into classes that we know about and some we just don’t know. Pyrogenic materials are not high on the list of things that are regulated or studied.” *     *     * This week, the Trump administration announced plans to eliminate the scientific research arm of the Environmental Protection Agency. Under the proposal, as many as 1,155 chemists, biologists, toxicologists and other scientists, responsible for the independent research that undergirds virtually all of that agency’s environmental policies, would be fired, making future guidance on pyrogenic materials unlikely.  Nelson said that his team collected and submitted a dozen fish for analysis at the National Oceanic and Atmospheric Administration, but following recent cuts to the agency’s workforce and facility closures, he is doubtful they will get their data back — let alone analyzed.    The Los Angeles County Department of Public Health recently issued an advisory for local beaches in the wake of the fires that suggests visitors can “recreate on the sand,” but should stay out of the water and avoid debris along an eight-mile stretch of shoreline from Santa Monica State Beach to Las Flores State Beach.  On March 12, Los Angeles County Public Works released findings from beach sediment tests, which found the samples did not contain any substances that would be classified as hazardous waste. One sample from both the Santa Monica Channel and Topanga Creek outlet was taken in early February. The sediment was tested for materials like asbestos, heavy metals, dioxins, pesticides and petroleum hydrocarbons. The county reported that minor traces of these were detected that did not exceed safety thresholds.  These thresholds themselves are changed frequently. In 2024, the Biden-Harris administration lowered the threshold for the level of lead in dust that EPA considers hazardous. However, there is no safe level for lead exposure. Jane Williams, the executive director of California Communities Against Toxics, shares Oelsen’s alarm over potential contaminants that may be overlooked.  “My biggest concerns [about] the exposures that are occurring is that we are in the process of repeating the post-9/11 exposure pattern,” she said. “We started seeing health issues in cleanup workers within a year of the 9/11 cleanup, and within a few years those workers started to die.”  Since the attacks at the World Trade Center on September 11, 2001, nearly 17,000 first responders and others who were in the area have been diagnosed with cancer. More than  6,000 deaths have been attributed to 9/11 illnesses. Williams fears similar phenomena in the wake of the Los Angeles fires.  “What’s happening is what I call the disaster after the disaster,” she said. Ashley Oelsen is awaiting the results of her tests, but wants people to lean on the side of caution. “We don’t know the long-term effects,” she said. “We don’t have the data. We don’t have the information.”  Copyright 2025 Capital & Main

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