Top 100 AI startups in USA
Dec 05, 2025
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30
1
Funding: $3.2B
Lambda is building a network of data centers focused on AI workloads. The company uses a proprietary design for rapidly deploying these high-density, high-cooling AI factories to meet modern AI requirements and maximize the performance per watt. Lambda's AI factories are modular: new GPUs, interconnects and cooling slots are integrated as they are delivered. Companies can lease capacity in these AI factories for model training and inference. Lambda also provides its own software for orchestrating AI workloads and a stack of software packages widely used in machine and deep learning. Each package is tested for compatibility with all Lambda's systems.
Lambda is building a network of data centers focused on AI workloads. The company uses a proprietary design for rapidly deploying these high-density, high-cooling AI factories to meet modern AI requirements and maximize the performance per watt. Lambda's AI factories are modular: new GPUs, interconnects and cooling slots are integrated as they are delivered. Companies can lease capacity in these AI factories for model training and inference. Lambda also provides its own software for orchestrating AI workloads and a stack of software packages widely used in machine and deep learning. Each package is tested for compatibility with all Lambda's systems.
2
Funding: $130M
Scribe creates a platform that documents workflows across software applications. When someone completes a process or workflow, it produces a step-by-step guide using its browser extension and desktop app, along with text and screenshots. Those guides can be shared with colleagues or published in internal tools to prevent repeated questions, minimize errors, and accelerate onboarding. It also helps to uncover where automation and AI really produce returns — instead of becoming another sunk cost. It analyzes across workflows for what people are doing when they’re at work, and then it generalizes those up into being able to show you in a single view of glass, here are the actual workflows that are being done. Here’s how often, how long it takes, etc.
Scribe creates a platform that documents workflows across software applications. When someone completes a process or workflow, it produces a step-by-step guide using its browser extension and desktop app, along with text and screenshots. Those guides can be shared with colleagues or published in internal tools to prevent repeated questions, minimize errors, and accelerate onboarding. It also helps to uncover where automation and AI really produce returns — instead of becoming another sunk cost. It analyzes across workflows for what people are doing when they’re at work, and then it generalizes those up into being able to show you in a single view of glass, here are the actual workflows that are being done. Here’s how often, how long it takes, etc.
3
Funding: $90M
Gamma uses AI to easily create presentations, marketing materials for social media and even entire websites. You simply formulate a task in natural language, import existing content (or select style scheme from the library) and get a result that can be further edited using AI. The service supports real-time team collaboration. You can export the result in PPT, PDF, PNG or Google Slides formats. Gamma also allows to publish content and share a link to it, with the ability to track views and engagement metrics. A free version is available for generating simple presentations.
Gamma uses AI to easily create presentations, marketing materials for social media and even entire websites. You simply formulate a task in natural language, import existing content (or select style scheme from the library) and get a result that can be further edited using AI. The service supports real-time team collaboration. You can export the result in PPT, PDF, PNG or Google Slides formats. Gamma also allows to publish content and share a link to it, with the ability to track views and engagement metrics. A free version is available for generating simple presentations.
4
Funding: $40M
1Mind develops LLM-powered sales AI agent named Mindy which is used to augment self-service websites and substitute the sales engineer on calls for larger enterprise deals. It can also be the onboarding specialist, consulting new customers. Mindy can be trained to understand an extensive knowledge base that includes all of a company’s products, technical details and market positions. The startup uses a mix of third-party large-language models, including OpenAI and Google Gemini but reduces their hallucinations by using own rule-based AI model. This deterministic AI implements guardrails so once the agent absorbs corporate sales materials, it should repeat that info without deviation. Beyond that, Mindy is trained to say she doesn’t know an answer.
1Mind develops LLM-powered sales AI agent named Mindy which is used to augment self-service websites and substitute the sales engineer on calls for larger enterprise deals. It can also be the onboarding specialist, consulting new customers. Mindy can be trained to understand an extensive knowledge base that includes all of a company’s products, technical details and market positions. The startup uses a mix of third-party large-language models, including OpenAI and Google Gemini but reduces their hallucinations by using own rule-based AI model. This deterministic AI implements guardrails so once the agent absorbs corporate sales materials, it should repeat that info without deviation. Beyond that, Mindy is trained to say she doesn’t know an answer.
5
Funding: $33.7B
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
6
Funding: $1B
Harvey develops AI assistant for legal/knowledge workers. It allows professional service providers, and Fortune 500 companies delegate complex legal tasks in natural language. It's secure cloud service allows to upload, store and analyze thousands of documents to use it as a context. This data is enriched by 150 legal data sources across the globe. Lawyers can design and deploy multi-model agents tailored to firm’s expertise and deliver consistent, high-quality results at scale to enhance drafting and editing, email management and knowledge sharing in the Microsoft office tools. Harvey was one of OpenAI Startup Fund’s first investments, so it primary uses its API.
Harvey develops AI assistant for legal/knowledge workers. It allows professional service providers, and Fortune 500 companies delegate complex legal tasks in natural language. It's secure cloud service allows to upload, store and analyze thousands of documents to use it as a context. This data is enriched by 150 legal data sources across the globe. Lawyers can design and deploy multi-model agents tailored to firm’s expertise and deliver consistent, high-quality results at scale to enhance drafting and editing, email management and knowledge sharing in the Microsoft office tools. Harvey was one of OpenAI Startup Fund’s first investments, so it primary uses its API.
7
Funding: $896M
Cognition AI develops Devin, the first AI-powered software engineer. Similar to GitHub's Copilot, Devin can help develop coding project plans, answer code questions with references and create wikis for code with documentation. Devin explores your codebase and helps clean up the backlog, modernize the codebase and supports the development of new projects. It performs unit and end-to-end testing, builds SaaS integrations, automates call response, ticket resolution and documentation generation. Devin is designed for collaboration and can adapt to unique workflows and learns your tribal knowledge. Devin also connects to MCP servers, from Asana to Zapier to automate the whole workflow. Devin Enterprise version is deployed in a virtual private cloud and provides enterprise-grade security and privacy.
Cognition AI develops Devin, the first AI-powered software engineer. Similar to GitHub's Copilot, Devin can help develop coding project plans, answer code questions with references and create wikis for code with documentation. Devin explores your codebase and helps clean up the backlog, modernize the codebase and supports the development of new projects. It performs unit and end-to-end testing, builds SaaS integrations, automates call response, ticket resolution and documentation generation. Devin is designed for collaboration and can adapt to unique workflows and learns your tribal knowledge. Devin also connects to MCP servers, from Asana to Zapier to automate the whole workflow. Devin Enterprise version is deployed in a virtual private cloud and provides enterprise-grade security and privacy.
8
Funding: $437M
Bright Machines creates intelligent flexible factory robots to build AI infrastructure hardware for data centers. These modular, software-defined robotics execute high-precision assembly automation with ease and flexibility. For example they can do DIMM insertion, CPU and heatsink placement, GPU integration, storage systems assembly, connector handling, etc. The robot contains end-of-arm tools and integrated material feeding and conveying systems. The company develops the proprietary operating system that runs our robotics, AI-driven software that optimizes product design for automated assembly and Data Hub that manages rich production data our automation systems, with capabilities including secure data collection, transport, governance, storage and retrieval.
Bright Machines creates intelligent flexible factory robots to build AI infrastructure hardware for data centers. These modular, software-defined robotics execute high-precision assembly automation with ease and flexibility. For example they can do DIMM insertion, CPU and heatsink placement, GPU integration, storage systems assembly, connector handling, etc. The robot contains end-of-arm tools and integrated material feeding and conveying systems. The company develops the proprietary operating system that runs our robotics, AI-driven software that optimizes product design for automated assembly and Data Hub that manages rich production data our automation systems, with capabilities including secure data collection, transport, governance, storage and retrieval.
9
Funding: $56M
Inception is building diffusion generative models for code and text. Diffusion models are mostly used to power image-based AI systems like Stable Diffusion, Midjourney, but Inception says that diffusion-based LLMs can be also much faster and efficient than auto-regression (GPT) models. Where auto-regression models have to execute operations one after another, diffusion models can process many operations simultaneously. Unlike GPT that work sequentially and predict word by word based on the context, diffusion models modify the overall structure of a response incrementally until it matches the desired result. They also have more flexibility in how they utilize hardware. Inception's Mercury model, designed for software development is already integrated into a number of development tools.
Inception is building diffusion generative models for code and text. Diffusion models are mostly used to power image-based AI systems like Stable Diffusion, Midjourney, but Inception says that diffusion-based LLMs can be also much faster and efficient than auto-regression (GPT) models. Where auto-regression models have to execute operations one after another, diffusion models can process many operations simultaneously. Unlike GPT that work sequentially and predict word by word based on the context, diffusion models modify the overall structure of a response incrementally until it matches the desired result. They also have more flexibility in how they utilize hardware. Inception's Mercury model, designed for software development is already integrated into a number of development tools.
10
Funding: $13M
Onepot.ai automates synthesis of small molecules from basic building blocks using chemical reactions. The company operates a small molecule synthesis lab, POT-1 and an LLM, which learns from all successful and unsuccessful experiments to predict what works and what doesn't when creating compounds and suggests potential molecules. As a result, Onepot has a catalog of molecules it can manufacture. Clients (biotech and pharma companies) select the desired compounds and Onepot's technology then synthesizes these molecules and ships them to the client for use in their experiments. They ship physical products either as dry compounds or as solutions in tablets or vials.
Onepot.ai automates synthesis of small molecules from basic building blocks using chemical reactions. The company operates a small molecule synthesis lab, POT-1 and an LLM, which learns from all successful and unsuccessful experiments to predict what works and what doesn't when creating compounds and suggests potential molecules. As a result, Onepot has a catalog of molecules it can manufacture. Clients (biotech and pharma companies) select the desired compounds and Onepot's technology then synthesizes these molecules and ships them to the client for use in their experiments. They ship physical products either as dry compounds or as solutions in tablets or vials.
11
Funding: $3.4B
Anysphere was the first company to create an AI-based IDE for software development - Cursor. Developers can use AI-powered auto-completion (for both individual strings and entire classes) and ask side-chat to create or fix a specific function, class or entire file (what later became known as vibe-coding). They can also create AI agents that independently perform simple coding tasks. Cursor relies on external AI models from companies including Google, OpenAI and Anthropic to power its platform, but plans to gradually implement its own model. Developers can use different LLMs for different tasks and pay only for Cursor (there's no need to purchase a subscription for each LLM).
Anysphere was the first company to create an AI-based IDE for software development - Cursor. Developers can use AI-powered auto-completion (for both individual strings and entire classes) and ask side-chat to create or fix a specific function, class or entire file (what later became known as vibe-coding). They can also create AI agents that independently perform simple coding tasks. Cursor relies on external AI models from companies including Google, OpenAI and Anthropic to power its platform, but plans to gradually implement its own model. Developers can use different LLMs for different tasks and pay only for Cursor (there's no need to purchase a subscription for each LLM).
12
Funding: $1.1B
Luma AI is an advanced generative platform for creating high-quality videos. The company's flagship Ray3 model is designed specifically for storytelling. The company claims it can think and reason visually, taking into account physical laws and scene coherence. Its Draft Mode enables rapid exploration of new ideas. Ray3 delivers incredible realism, image-to-video conversion, keyframing and editing controls. Content generation is available through a web interface and a mobile app. Companies can use the Luma API to access advanced image and video generation features with an easy-to-use endpoint. The company also enables the generation of 3D models from simple text or photographs. Luma AI conducts fundamental research into multimodal general-purpose intelligence (AGI).
Luma AI is an advanced generative platform for creating high-quality videos. The company's flagship Ray3 model is designed specifically for storytelling. The company claims it can think and reason visually, taking into account physical laws and scene coherence. Its Draft Mode enables rapid exploration of new ideas. Ray3 delivers incredible realism, image-to-video conversion, keyframing and editing controls. Content generation is available through a web interface and a mobile app. Companies can use the Luma API to access advanced image and video generation features with an easy-to-use endpoint. The company also enables the generation of 3D models from simple text or photographs. Luma AI conducts fundamental research into multimodal general-purpose intelligence (AGI).
13
Funding: $111.4M
Sortera uses AI to recover valuable aluminum from scrap piles and produce affordable, high-quality metal alloys. Sortera's computer-vision-based sensor-based sorter can both upgrade raw material streams (shredded old automotive parts and appliances) and remove unwanted contaminants. The upgraded streams can then be used to manufacture new products. This technology is revolutionary because it enables domestic (US) production of new raw materials from existing automotive industry streams. Sortera's main facility in Markle, Indiana, currently processes approximately 100 million pounds of shredded metal annually to produce blends of aluminum with other elements that make them stronger and more durable.
Sortera uses AI to recover valuable aluminum from scrap piles and produce affordable, high-quality metal alloys. Sortera's computer-vision-based sensor-based sorter can both upgrade raw material streams (shredded old automotive parts and appliances) and remove unwanted contaminants. The upgraded streams can then be used to manufacture new products. This technology is revolutionary because it enables domestic (US) production of new raw materials from existing automotive industry streams. Sortera's main facility in Markle, Indiana, currently processes approximately 100 million pounds of shredded metal annually to produce blends of aluminum with other elements that make them stronger and more durable.
14
Funding: $69M
HeyGen is an AI-powered video avatar generation platform. Users enter text, images, audio samples and the video generator creates complete video with voiceover and brand-matching styles. The service can also create digital twins based on photos or videos, video translators with perfectly synchronized voices. The built-in Agent can automatically create professional clips automatically. The service also offers AI Studio, which allows to edit and customize videos using language and simple visual tools. The platform is suitable for marketers, teachers and content creators, allowing them to create high-quality videos without the need for studios, actors or editing skills. HeyGen offers flexible pricing plans and API for business.
HeyGen is an AI-powered video avatar generation platform. Users enter text, images, audio samples and the video generator creates complete video with voiceover and brand-matching styles. The service can also create digital twins based on photos or videos, video translators with perfectly synchronized voices. The built-in Agent can automatically create professional clips automatically. The service also offers AI Studio, which allows to edit and customize videos using language and simple visual tools. The platform is suitable for marketers, teachers and content creators, allowing them to create high-quality videos without the need for studios, actors or editing skills. HeyGen offers flexible pricing plans and API for business.
15
Funding: $5.8M
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
16
Numenta is a startup by Jeff Hawkins, the author of renowned books on AI ("On Intelligence" and "A Thousand Brains: A New Theory of Intelligence") and his own theory of brain structure. Therefore, the startup's primary goal was initially to understand the neocortex (the primary cerebral cortex) and apply its principles to the creation of machine intelligence. The theory, called Hierarchical Temporal Memory (HTM) describes a learning and prediction model inspired by the cerebral cortex. The company has published open-source code of its framework (Thousand Brains Project) - a platform for sensory-motor learning. The company's main product, the Numenta Platform for Intelligent Computing (NuPIC), is also based on algorithms, data structures and architecture inspired by the brain.
17
Funding: $375M
Suno is developing an AI platform for creating original songs from simple text prompts. The audio generator maintains flawless musical coherence, automatically structures composition with verses, choruses, bridges and outros. The remastering feature allows to create subtle variations of a music, giving greater control over the final sound. The system learns user's stylistic preferences and adapts in real time. Suno also offers Suno Studio, which provides access to detailed parameters for tempo, key, dynamics and arrangement controls, can split songs into vocal and instrumental sections and add such sections to existing songs. The service/app allows to create 10 free songs daily and offers paid subscriptions for commercial music creators. Suno is constantly facing lawsuits from artists and recording studios who claim that its model was trained on copyrighted material.
Suno is developing an AI platform for creating original songs from simple text prompts. The audio generator maintains flawless musical coherence, automatically structures composition with verses, choruses, bridges and outros. The remastering feature allows to create subtle variations of a music, giving greater control over the final sound. The system learns user's stylistic preferences and adapts in real time. Suno also offers Suno Studio, which provides access to detailed parameters for tempo, key, dynamics and arrangement controls, can split songs into vocal and instrumental sections and add such sections to existing songs. The service/app allows to create 10 free songs daily and offers paid subscriptions for commercial music creators. Suno is constantly facing lawsuits from artists and recording studios who claim that its model was trained on copyrighted material.
18
Funding: $61.9B
OpenAI develops generative AI models: GPT for language, DALLE for images and Sora for video. The company's main product is the chatbot ChatGPT, which is used as a personal smart assistant and in enterprise customer support and knowledge management systems via APIs. The company also conducts scientific research aimed at achieving artificial general intelligence. The company's initial goal was the security and openness of artificial intelligence, but it has gradually moved toward closing and commercializing its ML and NLP technologies. According to CEO Sam Altman, AGI is achieving a certain amount of revenue. The primary OpenAI's investor is Microsoft and it has strategic partnership with NVidia.
OpenAI develops generative AI models: GPT for language, DALLE for images and Sora for video. The company's main product is the chatbot ChatGPT, which is used as a personal smart assistant and in enterprise customer support and knowledge management systems via APIs. The company also conducts scientific research aimed at achieving artificial general intelligence. The company's initial goal was the security and openness of artificial intelligence, but it has gradually moved toward closing and commercializing its ML and NLP technologies. According to CEO Sam Altman, AGI is achieving a certain amount of revenue. The primary OpenAI's investor is Microsoft and it has strategic partnership with NVidia.
19
Funding: $22.4B
xAI is Elon Musk's me-too startup, which couldn't resist the AI craze and invested heavily in the project. Initially, the company created the AI chatbot Grok for X/Twitter users, and later grew into a universal LLM provider for users and companies (via API). Grok's distinguishing feature is its more censorship-free worldview (which has occasionally led to controversy). Grok also initially focused on real-time context generation from online data (rather than pre-training). In addition to language, Grok can generate images. xAI also runs the world's largest supercomputer, Colossus and is engaged in AGI research (accoring to Elon Mask, xAI seeks to understand the true nature of the universe).
xAI is Elon Musk's me-too startup, which couldn't resist the AI craze and invested heavily in the project. Initially, the company created the AI chatbot Grok for X/Twitter users, and later grew into a universal LLM provider for users and companies (via API). Grok's distinguishing feature is its more censorship-free worldview (which has occasionally led to controversy). Grok also initially focused on real-time context generation from online data (rather than pre-training). In addition to language, Grok can generate images. xAI also runs the world's largest supercomputer, Colossus and is engaged in AGI research (accoring to Elon Mask, xAI seeks to understand the true nature of the universe).
20
Funding: $21.8B
Databricks is a data and AI company that interacts with corporate information stored in the public cloud.
Databricks is a data and AI company that interacts with corporate information stored in the public cloud.
