forbes Forbes Top 50 AI Companies

Forbes annually recognizes the most promising privately-held AI companies

 

Forbes 2025

More than two years after the blockbuster launch of ChatGPT, artificial intelligence continues to be the white hot center of venture capital and the business world at large. Some of the buzziest startups have shifted focus from the AI model release horserace to building useful applications and products on top of existing models, automating scutwork across fields like engineering, healthcare, legal and sales. That's evident in Forbes' seventh annual AI 50 list, produced in partnership with Sequoia and Meritech Capital, which spotlights the most promising privately-held AI companies in the world.

Newcomers to the list include $2.5 billion-valued Anysphere (better known as Cursor), a three year-old AI startup that helps engineers write and edit code and has at least $100 million in annualized revenue; the $1 billion-valued AI language tutor app Speak, which is used by some 10 million people to learn English and Spanish; and Massachusetts-based unicorn OpenEvidence, which is building an AI-powered search platform that summarizes medical information for doctors.

Model builders like OpenAI and Anthropic remain the biggest companies on the list, having raised large sums of cash from marquee Silicon Valley venture capitalists. The two AI behemoths have accumulated a combined $81 billion in venture funding, more than half of the total $142.45 billion that companies on this year's AI 50 list have raised. But this year, there's also a hefty new competition from Elon Musk's xAI ($12.1 billion in funding) and former OpenAI CTO Mira Murati's stealthy startup Thinking Machine Labs, which is developing broadly capable AI systems and reportedly raising $1 billion at a valuation of about $9 billion. Meanwhile, Fei Fei Li, known as the "godmother of AI", has launched her own startup too, World Labs ($291.5 million raised), to develop models that can understand physical spaces. And then there's enterprise AI company Writer ($326 million raised), which is training its own models to handle mundane business tasks like writing marketing blogs and searching through troves of documents. (Read our feature story on Writer here.)

Artificial intelligence companies (whether apps or model makers) typically rely on expensive silicon chips and energy-intensive data centers for computing power to train and run their models and applications. That's been advantageous for a cohort of infrastructure providers like $2.8 billion-valued Crusoe, $2.5 billion-valued Lambda and $3.3 billion-valued Together AI, which have bubbled up to sate AI's voracious appetite for compute. (See our deep dive on Crusoe.)

But as companies spend billions of dollars on computing power to train ever larger, more capable models, startups like Chinese dark horse DeepSeek have shown that training can be done in a more cost efficient way. While DeepSeek isn't on the AI 50 list this year because the company's funding, revenues and business practices are opaque, you'll find a cohort of Chinese AI companies to watch here.

Some of these startups are grappling with industry-wide issues, one of the biggest being litigation over alleged copyright infringement that is still moving through the courts. Multiple startups on the list, including OpenAI and Anthropic, have been sued for allegedly training their AI models on millions of copyrighted works of art and intellectual property. Meanwhile, a growing group of publishers, artists, musicians and authors have expressed concerns that AI companies have illegally scraped their data from the internet to create tools that then compete with them, posing a threat to their livelihoods. Image and video generation tools like Runway and Midjourney were similarly sued by a group of artists in 2023. Elevenlabs, which develops AI tools to create cloned voices, has faced lawsuits from voice actors. Music generator Suno has faced copyright infringement-related legal action from major record labels for its music generation technology. Cohere and Perplexity have been met with criticism and legal action from a flurry of news publishers for alleged copyright infringement. Forbes sent a cease-and-desist letter to Perplexity in June 2024, accusing it of infringing copyright and joined a class action lawsuit against Cohere in February for similar reasons. AI companies have broadly argued that their use of publicly available copyrighted content falls under fair use. But the future of AI ultimately hinges on court rulings on these suits.

This year was among the most competitive for the AI 50 list. Forbes received some 1,860 submissions. Applicants do not pay a fee to be considered and are judged for their business promise, technical talent and use of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI. Read the full article

Companies in bold face type are new to the Forbes list (see below):

Company What it Does

Abridge

AI notetaker for doctors

Anthropic

AI model developer

Anysphere

AI coding tools, Cursor product

Baseten

AI app deployment software

Captions

Video editor, Mirage product

Clay

AI go-to-market tools

Coactive AI

Data labeling software

Cohere

AI model developer

Crusoe

AI infrastructure

Databricks

Data storage and analytics

Decagon

AI agents for customer service

DeepL

Language translation service

ElevenLabs

Voice generation software

Figure AI

Humanoid robots

Fireworks AI

AI app development software

Glean

Enterprise search engine

Harvey

Legal automation software

Hebbia

General purpose AI for finance and legal

Hugging Face

Open-source library for AI models

Lambda

AI cloud provider

LangChain

AI app development tools

Luminance

Enterprise contract automation

Mercor

AI-powered hiring platform

Midjourney

Image generation service

Mistral AI

Open source AI model developer

Notion

Productivity software

OpenAI

AI model developer

OpenEvidence

ChatGPT for doctors

Perplexity AI

AI search engine

Photoroom

Photo editing app

Pika

Video generation service

Runway

Video and image editing software

Sakana AI

AI models for science and research

SambaNova

AI chipmaker

Scale AI

Data labeling and AI infrastructure

Sierra

Customer service software

Skild AI

AI systems for robotics

Snorkel AI

Enterprise data labelling

Speak

AI language tutor

StackBlitz

Web and mobile app development

Suno

Music and sound generation

Synthesia

AI avatar and video generator

Thinking Machine Labs

AI research company

Together AI

AI cloud provider

Vannevar Labs

Defense intelligence software

VAST Data

AI data infrastructure software

Windsurf

AI-powered coding tool

World Labs

Spatial intelligence

Writer

Enterprise AI software

XAI

AI model developer

 

Forbes 2024

By spring of 2023, the massive popularity of apps like ChatGPT had prompted a mass scramble among businesses trying to implement the latest advances in generative artificial intelligence. One year later, the craze continues. In turn, a new tech economy has emerged to help businesses develop and deploy AI-powered apps. That's reflected by the makeup of Forbes sixth annual AI 50, produced in partnership with Sequoia and Meritech Capital, which recognizes the most promising privately-held artificial intelligence companies.

The use cases are wide-ranging and far-reaching, as immediately evident from the three largest companies on the list in terms of valuation. Model maker OpenAI ($86 billion) counts customers from Morgan Stanley to the government of Iceland, while its rival Anthropic ($18.4 billion) is used by Bridgewater and the Boston Consulting Group. Databricks ($43 billion) sells its data analytics and AI deployment software to Shell and the United States Postal Service. For the startups on AI 50, the technology has evolved from capturing customers' imaginations to capturing billions of dollars in collective revenue. Then, there are companies that are seamlessly layering the latest advances in AI into their own apps. Abridge uses voice recognition and language summarization to deliver automated documentation of your visit to the doctor's office. Notion is making inroads into uprooting Google Workspace or Microsoft Office, while Perplexity wants to reinvent the search engine.

 

Company What it Does
Abridge Medical conversation documentation
Adept AI model developer
Anduril Industries Defense software and hardware
Anthropic AI model developer of Claude
Anyscale AI app deployment software
AssemblyAI Speech transcription tooling provider
Baseten AI app deployment software
Cerebras Systems Computer chip maker
Character.AI Consumer chatbot app
Cleanlab Error detection for data
Codeium Coding autocompletion app
Cohere AI model developer
Cradle Protein design for drug discovery
Cresta Call center agent assistance
Databricks Data storage and analytics
DeepL Language translation service
ElevenLabs Voice generation software
Figure AI Autonomous humanoid robots
Glean Enterprise search engine
Harvey AI models for law firms
Hebbia Enterprise search engine
Hugging Face Library for AI models and datasets
Insitro Drug discovery and development
Kumo.AI Data analytics software
LangChain AI app development tools
Leonardo.AI Image generation service
Midjourney Image generation service
Mistral AI Open-source AI model research
Notion Productivity software
OpenAI AI model developer of ChatGPT
Owkin Drug discovery and development
Perplexity General purpose search app
Photoroom Photo editing app
Pika Video generation service
Pinecone Database software
Replicate AI app deployment software
Rosebud AI Video game design software
Runway Image and video editing software
Sana Enterprise learning and search
Scale AI Data labeling and software
Sierra Customer service software
Synthesia AI avatar and video generator
Together AI AI model development tools
Tome Presentation creation software
Tractian Industrial machine maintenance
Unstructured AI app development tools
Vannevar Labs Defense intelligence software
Waabi Autonomous trucking technology
Weaviate Database software
Writer Enterprise generative AI software

 

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