Top 100 AI startups in USA
May 11, 2026
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30
1
Funding: $1.6B
Sierra develops a platform for creating, managing, and optimizing enterprise AI agents. Its agents accurately simulate the nuances of human interaction, enhance customer satisfaction, and always adhere to the brand style. Agent Studio allows for easy customization of customer scenarios without coding. The company also provides an Agent SDK for developers, enabling the rapid creation of agents using pre-built composable skills, fine-tuning capabilities, and advanced developer tools. Agents support voice recognition and speech generation and are suitable for automated phone support. The platform also assists live agents by providing real-time recommendations and automatically prepared responses.
Sierra develops a platform for creating, managing, and optimizing enterprise AI agents. Its agents accurately simulate the nuances of human interaction, enhance customer satisfaction, and always adhere to the brand style. Agent Studio allows for easy customization of customer scenarios without coding. The company also provides an Agent SDK for developers, enabling the rapid creation of agents using pre-built composable skills, fine-tuning capabilities, and advanced developer tools. Agents support voice recognition and speech generation and are suitable for automated phone support. The platform also assists live agents by providing real-time recommendations and automatically prepared responses.
2
Funding: $765.5M
SiFive is a semiconductor company that created an open source CPU chip design for AI data centers. SiFive’s RISC-V open chip design is based on the RISC processor, not Intel’s x86 or ARM, the two major types of CPUs that currently feed Nvidia’s GPU computer system AI empire (Nvidia is primary investor). SiFive licenses its chip designs to those who modify them for their own needs and does not sell the chips themselves.
SiFive is a semiconductor company that created an open source CPU chip design for AI data centers. SiFive’s RISC-V open chip design is based on the RISC processor, not Intel’s x86 or ARM, the two major types of CPUs that currently feed Nvidia’s GPU computer system AI empire (Nvidia is primary investor). SiFive licenses its chip designs to those who modify them for their own needs and does not sell the chips themselves.
3
Funding: $712.2M
Fluidstack builds specialized data centers for AI companies. It provides cloud infrastructure for AI with GPU clusters, orchestration, and monitoring for intensive workloads.
Fluidstack builds specialized data centers for AI companies. It provides cloud infrastructure for AI with GPU clusters, orchestration, and monitoring for intensive workloads.
4
Funding: $34.5M
InsightFinder specializes in AI-powered observability and predictive analytics for IT operations.
InsightFinder specializes in AI-powered observability and predictive analytics for IT operations.
5
Funding: $160M
Loop provides a platform that manages logistics and supply chain data through automation and analytics tools. It's using AI to offer companies predictive remedies - takes unstructured data (PDFs with no optically recognized characters, sheets of paper, digital messages) and gives it structure, in order to automate tasks. Loop makes the automation possible by developing a harness that coordinates multiple AI models. This helps companies better identify where they may be losing money or time, or spot the risks of over- or under-supplying a given product.
Loop provides a platform that manages logistics and supply chain data through automation and analytics tools. It's using AI to offer companies predictive remedies - takes unstructured data (PDFs with no optically recognized characters, sheets of paper, digital messages) and gives it structure, in order to automate tasks. Loop makes the automation possible by developing a harness that coordinates multiple AI models. This helps companies better identify where they may be losing money or time, or spot the risks of over- or under-supplying a given product.
6
Funding: $85.5M
WitnessAI develops a security system that creates the confidence layer for enterprise AI. It enables to monitor all AI activities within organization, protect models and applications (using next-generation AI Firewall and content controls), detect shadow AI use, catalog entire AI inventory (applications, MCP servers, agents), visualize all conversations with AI chats, including prompts and responses, implement intelligent controls and advanced business rules that record AI interactions among employees and agents, adapt to different usage contexts and reduce the cost of AI compliance.
WitnessAI develops a security system that creates the confidence layer for enterprise AI. It enables to monitor all AI activities within organization, protect models and applications (using next-generation AI Firewall and content controls), detect shadow AI use, catalog entire AI inventory (applications, MCP servers, agents), visualize all conversations with AI chats, including prompts and responses, implement intelligent controls and advanced business rules that record AI interactions among employees and agents, adapt to different usage contexts and reduce the cost of AI compliance.
7
Funding: $18.2M
Shade is developing a cloud-based media storage platform designed for agencies, sports media teams, and podcasters to easily store and search their media using natural language queries. The startup claims that their search doesn't just display a specific video but pinpoints the exact moment in the video where the scene corresponding to the search query occurs. The tool also automatically transcribes the audio for easier searching. Users can search by meaning, transcript, and facial recognition for tagged individuals. For example, users can search for "person with laptop in snow," and the system will return all relevant clips with timestamps.
Shade is developing a cloud-based media storage platform designed for agencies, sports media teams, and podcasters to easily store and search their media using natural language queries. The startup claims that their search doesn't just display a specific video but pinpoints the exact moment in the video where the scene corresponding to the search query occurs. The tool also automatically transcribes the audio for easier searching. Users can search by meaning, transcript, and facial recognition for tagged individuals. For example, users can search for "person with laptop in snow," and the system will return all relevant clips with timestamps.
8
Funding: $12.8M
Antioch intends to be the Cursor for physical AI - it's building simulation tools for robot developers. Its platform allows robot builders to spin up multiple digital instances of their hardware and connect them to simulated sensors that mimic the same data the robot’s software would receive in the real world. These environments allow developers to test edge cases, perform reinforcement learning, or generate new training data. The company starts with models built by Nvidia, World Labs, and others, and builds domain-specific libraries to make them easy to use.
Antioch intends to be the Cursor for physical AI - it's building simulation tools for robot developers. Its platform allows robot builders to spin up multiple digital instances of their hardware and connect them to simulated sensors that mimic the same data the robot’s software would receive in the real world. These environments allow developers to test edge cases, perform reinforcement learning, or generate new training data. The company starts with models built by Nvidia, World Labs, and others, and builds domain-specific libraries to make them easy to use.
9
Funding: $11M
Era is developing a platform that enables gadget makers to easily create AI agents and add intellectual functions into their devices. The company doesn't aim to create devices itself, but rather to empower others by providing a software layer that can handle tasks like generating personalized voice or speech recognition. The company offers over 130 LLMs for various AI gadget form factors, such as eyewear, jewelry, and home speakers. The startup's platform is scalable across millions of devices. It can also support AI device experiments that brands can conduct to attract specific users.
Era is developing a platform that enables gadget makers to easily create AI agents and add intellectual functions into their devices. The company doesn't aim to create devices itself, but rather to empower others by providing a software layer that can handle tasks like generating personalized voice or speech recognition. The company offers over 130 LLMs for various AI gadget form factors, such as eyewear, jewelry, and home speakers. The startup's platform is scalable across millions of devices. It can also support AI device experiments that brands can conduct to attract specific users.
10
Funding: $10M
Mirai allows to deploy and run models of any architecture directly on user devices. It developed fastest inference engine built from scratch for Apple devices.
Mirai allows to deploy and run models of any architecture directly on user devices. It developed fastest inference engine built from scratch for Apple devices.
11
Funding: $863M
Vercel is a developer platform that provides tools and cloud infrastructure to build and deploy AI applications and age. The v0 vibe coding platform allows to create apps in chat-mode or use one of the pre-built templates. The platform also provides AI Toolkit for TypeScript, AI Gateway containing thousands of open sourse models, AI agent that reviews PRs, investigates anomalies, and proposes fixes so you stay in flow, CD/CI tools, bot management and security tools. And its fluid compute cloud combines the efficiency of servers and the flexibility of serverless, enabling real-time, dynamic workloads like APIs, streaming, and AI
Vercel is a developer platform that provides tools and cloud infrastructure to build and deploy AI applications and age. The v0 vibe coding platform allows to create apps in chat-mode or use one of the pre-built templates. The platform also provides AI Toolkit for TypeScript, AI Gateway containing thousands of open sourse models, AI agent that reviews PRs, investigates anomalies, and proposes fixes so you stay in flow, CD/CI tools, bot management and security tools. And its fluid compute cloud combines the efficiency of servers and the flexibility of serverless, enabling real-time, dynamic workloads like APIs, streaming, and AI
12
Funding: $781M
ElevenLabs develops voice AI models for content creators and publishers. It has created two platforms: the Agents Platform for improving customer engagement and Creative Platform for creating AI-powered voice content. The platform's capabilities include converting text into realistic speech in over 70 languages, configuring, deploying, and monitoring conversational agents, creating studio-quality tracks in any genre and style, transcribing any audio with the highest accuracy, and creating an exact copy of any voice. All platform capabilities are accessible via an API. ElevenLabs is used to create films, advertising, audiobooks and podcasts.
ElevenLabs develops voice AI models for content creators and publishers. It has created two platforms: the Agents Platform for improving customer engagement and Creative Platform for creating AI-powered voice content. The platform's capabilities include converting text into realistic speech in over 70 languages, configuring, deploying, and monitoring conversational agents, creating studio-quality tracks in any genre and style, transcribing any audio with the highest accuracy, and creating an exact copy of any voice. All platform capabilities are accessible via an API. ElevenLabs is used to create films, advertising, audiobooks and podcasts.
13
Funding: $481M
Decagon provides a conversational AI platform for automating customer support across multiple channels.
Decagon provides a conversational AI platform for automating customer support across multiple channels.
14
Funding: $189.2M
Armadin Security is an AI-powered cybersecurity company that specializes in real-time threat hunting.
Armadin Security is an AI-powered cybersecurity company that specializes in real-time threat hunting.
15
Funding: $181.3M
LiveKit provides a cloud platform that enables developers to build, deploy, and manage real-time communication and AI-driven applications.
LiveKit provides a cloud platform that enables developers to build, deploy, and manage real-time communication and AI-driven applications.
16
Funding: $160M
Resolve AI is developing an autonomous AI site reliability engineer (SRE) that automatically maintains software systems. It's a multi-agent system that connects to production development systems, code, services, infrastructure, telemetry and analyzes complex production issues in real time. The system learns from corporate operations manuals, wikis, chats and best practices. Resolve AI integrates with various monitoring, infrastructure tools via MCPs, APIs and webhooks. It's designed to meet stringent compliance standards, including SOC 2 Type II certification, GDPR and HIPAA.
Resolve AI is developing an autonomous AI site reliability engineer (SRE) that automatically maintains software systems. It's a multi-agent system that connects to production development systems, code, services, infrastructure, telemetry and analyzes complex production issues in real time. The system learns from corporate operations manuals, wikis, chats and best practices. Resolve AI integrates with various monitoring, infrastructure tools via MCPs, APIs and webhooks. It's designed to meet stringent compliance standards, including SOC 2 Type II certification, GDPR and HIPAA.
17
Funding: $150M
Inferact mission is to accelerate AI progress by making inference cheaper and faster.
Inferact mission is to accelerate AI progress by making inference cheaper and faster.
18
Funding: $110.5M
Modal provides a cloud infrastructure optimized for AI workloads. The company has developed proprietary technologies to accelerate the inference of trained AI models to reduce computational costs and latency between user requests and AI responses. Customers can run their own or open-source AI models using Python syntax while remaining in their application code, executing tasks using the Modal SDK. Modal's container engine launches GPUs in less than 1 second when calling your inference function. The platform also provides code-based model training, batch job execution, running AI-generated code in dynamically defined sandboxes and high-performance GPU notebooks.
Modal provides a cloud infrastructure optimized for AI workloads. The company has developed proprietary technologies to accelerate the inference of trained AI models to reduce computational costs and latency between user requests and AI responses. Customers can run their own or open-source AI models using Python syntax while remaining in their application code, executing tasks using the Modal SDK. Modal's container engine launches GPUs in less than 1 second when calling your inference function. The platform also provides code-based model training, batch job execution, running AI-generated code in dynamically defined sandboxes and high-performance GPU notebooks.
19
Funding: $100M
Mirage develops mobile-first AI video-editing app Captions and marketing suite Mirage available on the web and via API. The company merges these two platforms to better target small businesses that may be looking to create marketing videos and distribute them in bulk. It produces different models and also caters to industries like advertising and marketing. It has also trained a model specifically for pacing, framing and attention dynamics in short videos. And Mirage’s audio model can preserve accents in generated videos. Captions app offers a freemium model to better compete with apps like ByteDance’s CapCut and Meta’s Edits
Mirage develops mobile-first AI video-editing app Captions and marketing suite Mirage available on the web and via API. The company merges these two platforms to better target small businesses that may be looking to create marketing videos and distribute them in bulk. It produces different models and also caters to industries like advertising and marketing. It has also trained a model specifically for pacing, framing and attention dynamics in short videos. And Mirage’s audio model can preserve accents in generated videos. Captions app offers a freemium model to better compete with apps like ByteDance’s CapCut and Meta’s Edits
20
Funding: $60M
Outtake is a digital trust platform automating threat classification, detection and response to enhance enterprise cybersecurity measures for AI-driven attack age. Its agentic AI secures modern attack surfaces with advanced search, real-time threat classification, and automated response. AI agents adapt and improve as fast as the threats themselves, learning and responding to new attack patterns in real-time. Outtake names among its customers OpenAI, Pershing Square, AppLovin, and federal agencies.
Outtake is a digital trust platform automating threat classification, detection and response to enhance enterprise cybersecurity measures for AI-driven attack age. Its agentic AI secures modern attack surfaces with advanced search, real-time threat classification, and automated response. AI agents adapt and improve as fast as the threats themselves, learning and responding to new attack patterns in real-time. Outtake names among its customers OpenAI, Pershing Square, AppLovin, and federal agencies.
21
Funding: $40M
Articul8 develops specialized GenAI systems that operate within clients' own local IT environment, rather than relying on cloud general-purpose models. Instead of selling standalone models, the company offers its technology as software applications and AI agents tailored to specific business functions, targeting regulated industries such as energy, manufacturing, aerospace, financial services, semiconductors, where data accuracy, auditability and control are critical. The company develops agentic reasoning engine that autonomously assembles the right squad of domain-specific agents for every mission.
Articul8 develops specialized GenAI systems that operate within clients' own local IT environment, rather than relying on cloud general-purpose models. Instead of selling standalone models, the company offers its technology as software applications and AI agents tailored to specific business functions, targeting regulated industries such as energy, manufacturing, aerospace, financial services, semiconductors, where data accuracy, auditability and control are critical. The company develops agentic reasoning engine that autonomously assembles the right squad of domain-specific agents for every mission.
22
Funding: $40M
NeoCognition is a research lab developing general-purpose AI agents capable of self-learning and becoming experts in any field, similar to how humans learn. Their learning process is essentially the process of constructing a model of the world for any profession (any given microcosm). NeoCognition plans to sell its agent systems primarily to enterprises, including established SaaS companies, who can use them to create agent workers or improve existing products.
NeoCognition is a research lab developing general-purpose AI agents capable of self-learning and becoming experts in any field, similar to how humans learn. Their learning process is essentially the process of constructing a model of the world for any profession (any given microcosm). NeoCognition plans to sell its agent systems primarily to enterprises, including established SaaS companies, who can use them to create agent workers or improve existing products.
23
Funding: $37M
Didero develops software that uses AI-powered purchasing agent to automate supply chain processes for manufacturers and distributors. It runs on top of an existing ERP system, acting as a coordinator, reading incoming messages and automatically performing necessary updates and tasks. The system analyzes natural-language communication with suppliers via email, WeChat, phone calls, as well as purchase orders and packing slips and automates a significant portion of the procurement process. The platform is designed for global companies that need to procure raw materials and components necessary for the production or sale of their products.
Didero develops software that uses AI-powered purchasing agent to automate supply chain processes for manufacturers and distributors. It runs on top of an existing ERP system, acting as a coordinator, reading incoming messages and automatically performing necessary updates and tasks. The system analyzes natural-language communication with suppliers via email, WeChat, phone calls, as well as purchase orders and packing slips and automates a significant portion of the procurement process. The platform is designed for global companies that need to procure raw materials and components necessary for the production or sale of their products.
24
Funding: $27.9M
Limitless AI is developing wearable device with a personal AI assistant that helps you capture, remember, and utilize information. It's a small pendant that attaches to shirt like a wireless microphone or wears as a necklace, and allows to record conversations. Its primary purpose is to record and transcribe meetings, eliminating the need to take notes. The device is waterproof, has a 100-hour battery life and charges via USB-C port. It also features a "consent mode" that prevents recording unless the other person has explicitly consented. The companion app is free and includes unlimited audio storage and 10 hours per month of AI features such as transcription, summary creation, and note-taking. Acquired by Meta
Limitless AI is developing wearable device with a personal AI assistant that helps you capture, remember, and utilize information. It's a small pendant that attaches to shirt like a wireless microphone or wears as a necklace, and allows to record conversations. Its primary purpose is to record and transcribe meetings, eliminating the need to take notes. The device is waterproof, has a 100-hour battery life and charges via USB-C port. It also features a "consent mode" that prevents recording unless the other person has explicitly consented. The companion app is free and includes unlimited audio storage and 10 hours per month of AI features such as transcription, summary creation, and note-taking. Acquired by Meta
25
Funding: $22M
Runpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.
Runpod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.
27
Funding: $11M
Littlebird is the only full-context AI. It works in the background, observing your screen and transcribing your meetings, to build a private memory of your work.
Littlebird is the only full-context AI. It works in the background, observing your screen and transcribing your meetings, to build a private memory of your work.
28
Funding: $10.5M
Risotto is an AI ChatOps for IT support, boosting efficiency and security with instant resolution and 24/7 automation, all via chat.
Risotto is an AI ChatOps for IT support, boosting efficiency and security with instant resolution and 24/7 automation, all via chat.
29
Funding: $9.5M
Guide Labs is a software development company that builds interpretable models to explain reasoning that are easy to steer, debug, and align.
Guide Labs is a software development company that builds interpretable models to explain reasoning that are easy to steer, debug, and align.
30
Funding: $8.4M
Nomadic helps companies developing self-driving cars, robots manipulating the physical environment, or autonomous construction equipment to analyse and organize collected video data for evaluation and training. Becuase the most valuable data depicts events that rarely occur and can befuddle inexperienced physical AI models, Nomadic has developed a platform that turns footage into a structured, searchable dataset through a collection of vision language models. That, in turn, allows for better fleet monitoring and the creation of unique datasets for reinforcement learning and faster iteration. Customers like Zoox, Mitsubishi Electric, Natix Network, and Zendar are already using the platform to develop intelligent machines.
Nomadic helps companies developing self-driving cars, robots manipulating the physical environment, or autonomous construction equipment to analyse and organize collected video data for evaluation and training. Becuase the most valuable data depicts events that rarely occur and can befuddle inexperienced physical AI models, Nomadic has developed a platform that turns footage into a structured, searchable dataset through a collection of vision language models. That, in turn, allows for better fleet monitoring and the creation of unique datasets for reinforcement learning and faster iteration. Customers like Zoox, Mitsubishi Electric, Natix Network, and Zendar are already using the platform to develop intelligent machines.
31
Funding: $6.4M
Bolna offers voice AI agents that transforms business to qualify leads, boost sales, automate customer support, and streamline recruitment.
Bolna offers voice AI agents that transforms business to qualify leads, boost sales, automate customer support, and streamline recruitment.
32
Funding: $6M
AgentMail provides an API-first email platform that enables AI agents to send, receive, and manage emails with automation and analytics.
AgentMail provides an API-first email platform that enables AI agents to send, receive, and manage emails with automation and analytics.
33
Funding: $5.5M
VoiceRun is a platform for developing voice-enabled AI agents. Unlike visual agent-builders, it allows to program voice agent behavior using code, which gives greater flexibility. In addition to creating code-based agents, VoiceRun also allows users to conduct A/B testing and instantly deploy solutions with a single click through the VoiceRun cloud telephony system and swap models instantly, backed by enterprise-grade security. The company is focused on enterprise developers, helping companies, for example, implement AI in their customer support services or assist tech companies in launching voice-based products. For example, the platform is used to create an AI concierge for restaurant reservations.
VoiceRun is a platform for developing voice-enabled AI agents. Unlike visual agent-builders, it allows to program voice agent behavior using code, which gives greater flexibility. In addition to creating code-based agents, VoiceRun also allows users to conduct A/B testing and instantly deploy solutions with a single click through the VoiceRun cloud telephony system and swap models instantly, backed by enterprise-grade security. The company is focused on enterprise developers, helping companies, for example, implement AI in their customer support services or assist tech companies in launching voice-based products. For example, the platform is used to create an AI concierge for restaurant reservations.
34
Funding: $2.5M
First Voyage is developing a mobile app, Momo Self Care, featuring a virtual AI pet named Momo, who helps users to form desired habits. You care for Momo and it reminds you to complete habit-building tasks and rewards you with coins for completing them. The coins can be used to purchase in-app items to further personalize your pet. Users can also talk to Momo about self-care and the AI companion will recommend habits and tasks based on what you want to achieve. The most popular habits (according to the developers) are related to productivity, spirituality and mindfulness. Momo includes safety mechanisms, such as suggestion filters, to ensure that communication between the AI and users remains within acceptable guidelines.
First Voyage is developing a mobile app, Momo Self Care, featuring a virtual AI pet named Momo, who helps users to form desired habits. You care for Momo and it reminds you to complete habit-building tasks and rewards you with coins for completing them. The coins can be used to purchase in-app items to further personalize your pet. Users can also talk to Momo about self-care and the AI companion will recommend habits and tasks based on what you want to achieve. The most popular habits (according to the developers) are related to productivity, spirituality and mindfulness. Momo includes safety mechanisms, such as suggestion filters, to ensure that communication between the AI and users remains within acceptable guidelines.
35
Pebble makes a smart ring with artificial intelligence for making short notes. You press a button on the ring, speak your thought and it's sent to your phone, added to your notebook app and can be set as a reminder. The AI is enabled only in the Pebble app on the phone, which uses an open-source model that runs locally and doesn't send data to the cloud, so it's private and doesn't require an internet connection or subscription. The ring is made of durable stainless steel and is water-resistant. As advertised, the battery lasts for years - you never need to charge it.
36
Funding: $189B
OpenAI develops generative AI models: GPT for language, DALLE for images and Codex for code. 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 is also a primary AI provider for the US Department of War
OpenAI develops generative AI models: GPT for language, DALLE for images and Codex for code. 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 is also a primary AI provider for the US Department of War
37
Funding: $42.4B
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).
38
Funding: $1.2B
KoBold Metals is developing AI platform for automated cobalt deposit exploration. Company's drones collect RGB, hyperspectral and LiDAR data and capture 360-degree images of core samples on the drill rig, before they are crushed or moved. The platform organizes and analyzes this imagery along with reports, old maps, handwritten notes, geophysical and geochemical data. AI models then make all sorts of predictions: from resource determination (e.g., grade, thickness) to geological (e.g., rock type, lithology) and physical properties (e.g., conductivity, magnetic susceptibility). This enables the company to make optimal exploration and development decisions.
KoBold Metals is developing AI platform for automated cobalt deposit exploration. Company's drones collect RGB, hyperspectral and LiDAR data and capture 360-degree images of core samples on the drill rig, before they are crushed or moved. The platform organizes and analyzes this imagery along with reports, old maps, handwritten notes, geophysical and geochemical data. AI models then make all sorts of predictions: from resource determination (e.g., grade, thickness) to geological (e.g., rock type, lithology) and physical properties (e.g., conductivity, magnetic susceptibility). This enables the company to make optimal exploration and development decisions.
39
Funding: $1.2B
World Labs develops spatially intelligent AI world models that are capable of perceiving, generating, reasoning and interacting with 3D world, unlocking the full potential of AI. The company believes that spatial intelligence will unlock new forms of storytelling, creativity, design, modeling and immersive experiences in both virtual and physical worlds. Its first product, Marble - is based on best-in-class generative 3D world models and enables anyone to create spatially consistent, highly accurate and robust 3D worlds using just a single image, video or text prompt. World Labs' founders include AI pioneer Fei-Fei Li and other world-renowned experts in machine learning, generative AI and computer vision.
World Labs develops spatially intelligent AI world models that are capable of perceiving, generating, reasoning and interacting with 3D world, unlocking the full potential of AI. The company believes that spatial intelligence will unlock new forms of storytelling, creativity, design, modeling and immersive experiences in both virtual and physical worlds. Its first product, Marble - is based on best-in-class generative 3D world models and enables anyone to create spatially consistent, highly accurate and robust 3D worlds using just a single image, video or text prompt. World Labs' founders include AI pioneer Fei-Fei Li and other world-renowned experts in machine learning, generative AI and computer vision.
40
Funding: $1.1B
Physical Intelligence develops general-purpose ML models for robots and other physical devices. The company collects data from robots in its lab and from real-world robots in other locations - warehouses, shops, homes - and uses this data to train universal base robot models. The goal is to create a pre-trained model (similar to GPT). The idea is that if someone creates a new hardware platform, they won't have to start collecting data from scratch—they can transfer all the knowledge the model already has. The company already works with a small number of companies in various industries - logistics, grocery stores and chocolate makers. When researchers train a new model, it comes back to stations like these for evaluation.
Physical Intelligence develops general-purpose ML models for robots and other physical devices. The company collects data from robots in its lab and from real-world robots in other locations - warehouses, shops, homes - and uses this data to train universal base robot models. The goal is to create a pre-trained model (similar to GPT). The idea is that if someone creates a new hardware platform, they won't have to start collecting data from scratch—they can transfer all the knowledge the model already has. The company already works with a small number of companies in various industries - logistics, grocery stores and chocolate makers. When researchers train a new model, it comes back to stations like these for evaluation.
41
Funding: $615M
Mind Robotics is an industrial robotics lab spun out of the electric vehicle maker Rivian and it wants to use data from Rivian’s electric vehicle factory to train industrial robots to be more dexterous and adaptable and perform physical reasoning that classical robotics cannot address. The company is building the full robotics foundation - AI models, hardware and deployment infrastructure
Mind Robotics is an industrial robotics lab spun out of the electric vehicle maker Rivian and it wants to use data from Rivian’s electric vehicle factory to train industrial robots to be more dexterous and adaptable and perform physical reasoning that classical robotics cannot address. The company is building the full robotics foundation - AI models, hardware and deployment infrastructure
42
Funding: $533.5M
Skyryse is developing SkyOS - AI-based operating system for military helicopters Black Hawk. It allows to eliminate dozens of mechanical flight controls, such as instruments and switches and replace them with a system containing multiple onboard computers that automate the more complex and dangerous aspects of aircraft control. This is not a fully autonomous system; the pilot still must operate it. However, it is designed to automate the most complex aspects of flight control, enhancing pilot training and improving safety. The system automates takeoffs and landings, as well as fully automates hovering and emergency landings in the event of engine failure.
Skyryse is developing SkyOS - AI-based operating system for military helicopters Black Hawk. It allows to eliminate dozens of mechanical flight controls, such as instruments and switches and replace them with a system containing multiple onboard computers that automate the more complex and dangerous aspects of aircraft control. This is not a fully autonomous system; the pilot still must operate it. However, it is designed to automate the most complex aspects of flight control, enhancing pilot training and improving safety. The system automates takeoffs and landings, as well as fully automates hovering and emergency landings in the event of engine failure.
43
Funding: $472M
Replit allows to vibe code directly in mobile app - describe your app idea in simple terms and watch agent is turning into a working product. Whether it's a mobile game, a productivity tool, or a small digital store, the platform can generate the app and, what's more, help publish it to app stores. For example, if a stock trader tasks an agent with "creating an app tracking the 10 largest public companies by market capitalization" - Replit generates a mobile app with a working interface and allows him to preview and test the app. Replit has also integrated its platform with the Stripe payment processing system, allowing users to monetize their apps easily.
Replit allows to vibe code directly in mobile app - describe your app idea in simple terms and watch agent is turning into a working product. Whether it's a mobile game, a productivity tool, or a small digital store, the platform can generate the app and, what's more, help publish it to app stores. For example, if a stock trader tasks an agent with "creating an app tracking the 10 largest public companies by market capitalization" - Replit generates a mobile app with a working interface and allows him to preview and test the app. Replit has also integrated its platform with the Stripe payment processing system, allowing users to monetize their apps easily.
44
Funding: $327M
Fireworks AI provides cloud-based platform that enables developers to build, customize and scale AI applications using open-source models. It features a library of ready-made models and enables scaling inference at minimal cost. It also includes coding assistance tools (IDE assistants, code generation, debugging agents), agent systems for creating multi-stage reasoning, planning and execution pipelines, ready-to-use enterprise assistants (for summarization, semantic search, personalized recommendations), enterprise RAG search for knowledge bases. The company provides SDK for prototyping, quality assessment, and scaling with confidence.
Fireworks AI provides cloud-based platform that enables developers to build, customize and scale AI applications using open-source models. It features a library of ready-made models and enables scaling inference at minimal cost. It also includes coding assistance tools (IDE assistants, code generation, debugging agents), agent systems for creating multi-stage reasoning, planning and execution pipelines, ready-to-use enterprise assistants (for summarization, semantic search, personalized recommendations), enterprise RAG search for knowledge bases. The company provides SDK for prototyping, quality assessment, and scaling with confidence.
45
Funding: $255M
Fundamental develops AI models to extract useful insights from the massive volumes of structured data generated by large enterprises. It combines legacy predictive AI systems with more modern tools. Unlike traditional LLMs, Fundamental's large table model, called Nexus, is deterministic - meaning it produces the same answer every time it's asked a given question, and does not use the Transformer architecture. Because Transformer-based AI models can only process data within their context window, they often struggle to analyze extremely large datasets, for example, a spreadsheet with billions of rows. However, such huge structured datasets are common in large enterprises, creating significant opportunities for models capable of handling such scale.
Fundamental develops AI models to extract useful insights from the massive volumes of structured data generated by large enterprises. It combines legacy predictive AI systems with more modern tools. Unlike traditional LLMs, Fundamental's large table model, called Nexus, is deterministic - meaning it produces the same answer every time it's asked a given question, and does not use the Transformer architecture. Because Transformer-based AI models can only process data within their context window, they often struggle to analyze extremely large datasets, for example, a spreadsheet with billions of rows. However, such huge structured datasets are common in large enterprises, creating significant opportunities for models capable of handling such scale.
46
Funding: $250M
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
47
Funding: $200M
Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks.
Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks.
48
Funding: $157.2M
Zanskar specializes in exploration and development of geothermal energy sources. It has developed AI platform for searching for geothermal deposits and constructs power plants at discovered sources. The company uses modern drilling and computational geophysics technologies to discover new resources, de-risk known resources, and mitigate the risk of "dry holes." Zanskar addresses key challenges hindering the rapid expansion of geothermal energy by reducing exploration costs and increasing the size of each geothermal deposit. Zanskar currently holds the industry's largest portfolio of conventional geothermal development projects across the western United States. For example, in 2024, Zanskar acquired the Lightning Dock geothermal power plant, which had been operating at low capacity for several years. In less than a year, Zanskar restored the plant to full capacity and is now supplying power to the grid after discovering and drilling in a deeper, hotter zone.
Zanskar specializes in exploration and development of geothermal energy sources. It has developed AI platform for searching for geothermal deposits and constructs power plants at discovered sources. The company uses modern drilling and computational geophysics technologies to discover new resources, de-risk known resources, and mitigate the risk of "dry holes." Zanskar addresses key challenges hindering the rapid expansion of geothermal energy by reducing exploration costs and increasing the size of each geothermal deposit. Zanskar currently holds the industry's largest portfolio of conventional geothermal development projects across the western United States. For example, in 2024, Zanskar acquired the Lightning Dock geothermal power plant, which had been operating at low capacity for several years. In less than a year, Zanskar restored the plant to full capacity and is now supplying power to the grid after discovering and drilling in a deeper, hotter zone.
49
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.
50
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.
