Top 100 AI startups in USA
Mar 11, 2026
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30
1
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.
2
Funding: $203.6M
Presto develops AI Voice agents for ordering, accepting payments and interacting with restaurant customers. The Presto Voice assistant is based on a proprietary natural language processing system and large language models. It easily integrates with existing equipment and POS platforms to automate order taking with friendly service around the clock. It accurately reads menus and prices and makes four times more upsells than human agents, resulting in higher average checks and revenue. The AI also manages orders and monitors the process in case of problems.
Presto develops AI Voice agents for ordering, accepting payments and interacting with restaurant customers. The Presto Voice assistant is based on a proprietary natural language processing system and large language models. It easily integrates with existing equipment and POS platforms to automate order taking with friendly service around the clock. It accurately reads menus and prices and makes four times more upsells than human agents, resulting in higher average checks and revenue. The AI also manages orders and monitors the process in case of problems.
3
Funding: $200M
Eridu is creating a new generation of networking equipment for AI data centers. They've reimagined computer networks from the ground up, starting with network chips they designed specifically for AI data flows between boxes in data center. Eridu systems are designed to replace multiple multi-layer optical connections with on-chip communications. The company is also working on a switch that will accommodate more functions on the chip itself. This saves enormous amounts of energy and makes the network much more reliable, as optics are the least reliable part of the network.
Eridu is creating a new generation of networking equipment for AI data centers. They've reimagined computer networks from the ground up, starting with network chips they designed specifically for AI data flows between boxes in data center. Eridu systems are designed to replace multiple multi-layer optical connections with on-chip communications. The company is also working on a switch that will accommodate more functions on the chip itself. This saves enormous amounts of energy and makes the network much more reliable, as optics are the least reliable part of the network.
4
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.
5
Funding: $154M
Ethernovia makes Ethernet-based processors that help collect data from sensors scattered around a system - like in an autonomous vehicle - and quickly move it to a central computer.
Ethernovia makes Ethernet-based processors that help collect data from sensors scattered around a system - like in an autonomous vehicle - and quickly move it to a central computer.
6
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.
7
Funding: $126M
Freeform is AI-native manufacturing-as-a-service that uses laser equipment for high-precision metal parts 3D printing. Its system consists of production equipment, computing power, sensors, control systems, software, machine learning stack and physical AI model. The system learns, predicts and controls the metal forming process in real time. Freeform produces for example rocket engine parts and Formula 1 racing cars.
Freeform is AI-native manufacturing-as-a-service that uses laser equipment for high-precision metal parts 3D printing. Its system consists of production equipment, computing power, sensors, control systems, software, machine learning stack and physical AI model. The system learns, predicts and controls the metal forming process in real time. Freeform produces for example rocket engine parts and Formula 1 racing cars.
8
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.
9
Funding: $74.1M
Gather AI is a provider software-only automated inventory monitoring solutions for logistics and modern warehouses.
Gather AI is a provider software-only automated inventory monitoring solutions for logistics and modern warehouses.
10
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.
11
Funding: $47M
Nimble is developing a platform that uses AI agents to search the web in real time, verify and validate results, and structure the information into tables that can then be queried like a database. The platform integrates with enterprise data warehouses and data lakes offered by companies like Databricks and Snowflake. This means its AI agents can connect to a company's massive data set, using it to create context and shape the structure and display of search results. These integrations also allow Nimble's software to learn constraints - for example, how a search should be performed or which data sources to use. This is particularly useful for applications such as competitor analysis, pricing research, know-your-customer processes, brand monitoring, in-depth research, and financial analysis.
Nimble is developing a platform that uses AI agents to search the web in real time, verify and validate results, and structure the information into tables that can then be queried like a database. The platform integrates with enterprise data warehouses and data lakes offered by companies like Databricks and Snowflake. This means its AI agents can connect to a company's massive data set, using it to create context and shape the structure and display of search results. These integrations also allow Nimble's software to learn constraints - for example, how a search should be performed or which data sources to use. This is particularly useful for applications such as competitor analysis, pricing research, know-your-customer processes, brand monitoring, in-depth research, and financial analysis.
12
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.
13
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
14
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.
15
Funding: $15M
Kana's aim is to envision a future in which AI and marketers collaborate to provide each consumer with a flawless, customized experience.
Kana's aim is to envision a future in which AI and marketers collaborate to provide each consumer with a flawless, customized experience.
16
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.
17
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.
18
Funding: $6.5M
CVector creates the "brain" and "nervous system" for large-scale industry. Its platform combines real-time control data from industrial plants with dynamic market signals. The system then processes this information using custom-developed industrial facility models to provide benchmarks and support real-time decisions. CVector helps identify potential issues that can lead to equipment downtime, monitors the energy efficiency of the entire plant, and tracks raw material prices that impact material costs.
CVector creates the "brain" and "nervous system" for large-scale industry. Its platform combines real-time control data from industrial plants with dynamic market signals. The system then processes this information using custom-developed industrial facility models to provide benchmarks and support real-time decisions. CVector helps identify potential issues that can lead to equipment downtime, monitors the energy efficiency of the entire plant, and tracks raw material prices that impact material costs.
19
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.
20
Funding: $3.5M
Modelence is a Software Development firm offering typeScript cloud services AI apps production.
Modelence is a Software Development firm offering typeScript cloud services AI apps production.
21
Funding: $189B
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 is also a primary AI provider for the US Department of War
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 is also a primary AI provider for the US Department of War
22
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.
23
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.
24
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
25
Funding: $859.5M
Runway is a service for generating artistic videos from text prompts or graphic templates (video-to-video, image-to-video). The company uses diffusion models, visual transformers, temporal consistency methods (to ensure character/environment consistency across scenes). The service also offers video editing tools: object removal, background and lighting changes, stylization, scene appearance management, cropping and more. It provides specialized tools 3d-room dressing, virtual outfit trying, video-to-animation, storyboard-to-animation. Runway is used by professional filmmakers, artists, YouTube content creators and marketers. The service provides an API for business and a mobile app for a general audience. Runway also develops own 3D-world model that works through frame-by-frame prediction, creating a simulation with an understanding of physics and how the world actually behaves over time
Runway is a service for generating artistic videos from text prompts or graphic templates (video-to-video, image-to-video). The company uses diffusion models, visual transformers, temporal consistency methods (to ensure character/environment consistency across scenes). The service also offers video editing tools: object removal, background and lighting changes, stylization, scene appearance management, cropping and more. It provides specialized tools 3d-room dressing, virtual outfit trying, video-to-animation, storyboard-to-animation. Runway is used by professional filmmakers, artists, YouTube content creators and marketers. The service provides an API for business and a mobile app for a general audience. Runway also develops own 3D-world model that works through frame-by-frame prediction, creating a simulation with an understanding of physics and how the world actually behaves over time
26
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.
27
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.
28
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.
29
Funding: $422.2M
Teamworks is an operating system for sports that supports talent acquisition, seamless operations and holistic performance development. It uses advanced machine learning to deliver sport-specific predictive models and metrics that inform everything from athlete evaluation and roster construction to contract valuation and game strategy.
Teamworks is an operating system for sports that supports talent acquisition, seamless operations and holistic performance development. It uses advanced machine learning to deliver sport-specific predictive models and metrics that inform everything from athlete evaluation and roster construction to contract valuation and game strategy.
30
Funding: $400M
RadixArk focuses on developing infrastructure for AI inference and training systems.
RadixArk focuses on developing infrastructure for AI inference and training systems.
31
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.
32
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.
33
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.
34
Funding: $100M
Emergent is an AI-powered platform for creating websites, web- and mobile apps. It lets you create and host projects, provides access to cutting-edge LLM models and chat interface where you can explain how the app should work in natural language, while the AI takes care of coding, design and deployment. As advertised, the generated code is ready to use and the resulting app is entirely yours. But Emergent is designed not only for complete beginners but also for experienced developers. You can create and deploy your own specialized agents tailored to your workflows, implement integrations that connect services, automate tasks and accelerate delivery, collaborate with your team in real time and sync projects with GitHub for version control.
Emergent is an AI-powered platform for creating websites, web- and mobile apps. It lets you create and host projects, provides access to cutting-edge LLM models and chat interface where you can explain how the app should work in natural language, while the AI takes care of coding, design and deployment. As advertised, the generated code is ready to use and the resulting app is entirely yours. But Emergent is designed not only for complete beginners but also for experienced developers. You can create and deploy your own specialized agents tailored to your workflows, implement integrations that connect services, automate tasks and accelerate delivery, collaborate with your team in real time and sync projects with GitHub for version control.
35
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.
36
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.
38
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.
39
Funding: $9.5M
Apeiron Labs creates autonomous underwater robots for ocean exploration. These are inexpensive vehicles, three feet long, five inches in diameter and weighing just over 20 pounds, travel 400 meters up and down the water column, collecting water samples to measure temperature, salinity and acoustics once or twice a day. They can be launched from boats or aircraft. After diving, the AUV navigates its terrain autonomously - the operating system uses models of the ocean to predict where it will surface. When it finally breaches and reconnects with the operating system - it incorporates the new data to refine its models. Apeiron sells its products to both civilian and defense customers. The Pentagon can use them to eavesdrop on submarines off the US coast, while fisheries may require more detailed temperature and salinity data in key fishing areas.
Apeiron Labs creates autonomous underwater robots for ocean exploration. These are inexpensive vehicles, three feet long, five inches in diameter and weighing just over 20 pounds, travel 400 meters up and down the water column, collecting water samples to measure temperature, salinity and acoustics once or twice a day. They can be launched from boats or aircraft. After diving, the AUV navigates its terrain autonomously - the operating system uses models of the ocean to predict where it will surface. When it finally breaches and reconnects with the operating system - it incorporates the new data to refine its models. Apeiron sells its products to both civilian and defense customers. The Pentagon can use them to eavesdrop on submarines off the US coast, while fisheries may require more detailed temperature and salinity data in key fishing areas.
40
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.
41
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.
42
Funding: $63.7B
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.
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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).
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Funding: $2.8B
Cerebras is building Wafer-Scale Engine (WSE) – the largest chip ever built for deep learning systems. The chip has a size of a silicon wafer, with a very large number of transistors and cores. Most of the memory on the chip is SRAM, with no or minimal (compared to SambaNova) external memory such as DRAM / HBM. This creates certain limitations in terms of flexibility of use and scaling of models, especially when the model is very large. But it has a very high bandwidth of the internal bus that enables super-fast data transfer between components inside one large plate. Each Cerebras system uses several such chips and requires significant cooling capacity. The WSE-chip powers the Cerebras CS-X - the AI supercomputer that enables less networking and a smaller footprint than a GPU-based cluster, and eliminate programming complexity by interacting with a single logical device at every scale. Cerebras also provides cloud learning/inference service for LLM companies like OpenAI.
Cerebras is building Wafer-Scale Engine (WSE) – the largest chip ever built for deep learning systems. The chip has a size of a silicon wafer, with a very large number of transistors and cores. Most of the memory on the chip is SRAM, with no or minimal (compared to SambaNova) external memory such as DRAM / HBM. This creates certain limitations in terms of flexibility of use and scaling of models, especially when the model is very large. But it has a very high bandwidth of the internal bus that enables super-fast data transfer between components inside one large plate. Each Cerebras system uses several such chips and requires significant cooling capacity. The WSE-chip powers the Cerebras CS-X - the AI supercomputer that enables less networking and a smaller footprint than a GPU-based cluster, and eliminate programming complexity by interacting with a single logical device at every scale. Cerebras also provides cloud learning/inference service for LLM companies like OpenAI.
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Funding: $1.3B
Apptronik produces Apollo, a general-purpose humanoid robot suitable for use in warehouses, manufacturing facilities, in construction, oil and gas, electronics manufacturing, retail, home delivery, elderly care and many other fields. Apollo has a body shape and size similar to a human's, allowing it to navigate spatially and use our tools and equipment. This makes interaction with humans natural and enables it to perform tasks that would be difficult or impossible for other types of robots. Apollo has a modular design and can be mounted on any mobile platform, whether stationary or fully mobile with legs. Thanks to hot-swappable batteries, each rated for four hours of operation, Apollo can continue working simply by replacing the battery rather than charging it from the mains while not in use. When needed, Apollo can be connected to a charger or tethered to the mains for continuous operation.
Apptronik produces Apollo, a general-purpose humanoid robot suitable for use in warehouses, manufacturing facilities, in construction, oil and gas, electronics manufacturing, retail, home delivery, elderly care and many other fields. Apollo has a body shape and size similar to a human's, allowing it to navigate spatially and use our tools and equipment. This makes interaction with humans natural and enables it to perform tasks that would be difficult or impossible for other types of robots. Apollo has a modular design and can be mounted on any mobile platform, whether stationary or fully mobile with legs. Thanks to hot-swappable batteries, each rated for four hours of operation, Apollo can continue working simply by replacing the battery rather than charging it from the mains while not in use. When needed, Apollo can be connected to a charger or tethered to the mains for continuous operation.
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Funding: $814.3M
Verkada is a cloud-based AI-platform for video surveillance, access control and other physical security applications. It offers a variety of AI-powered analytics tools for searching people (by face) and vehicles, enables creation of security alerts based on AI-powered search queries, reconstructs the entire movement path of multiple people and vehicles across an area, and uses computer vision technologies to better understand traffic patterns, sales conversion rates, customer dwell times and much more. It's possible to link real-time POS system data or step-by-step operational processes directly to Verkada cameras. Data is processed and stored both on the camera and in a secure cloud, enabling advanced analytics with low latency and system management from virtually anywhere.
Verkada is a cloud-based AI-platform for video surveillance, access control and other physical security applications. It offers a variety of AI-powered analytics tools for searching people (by face) and vehicles, enables creation of security alerts based on AI-powered search queries, reconstructs the entire movement path of multiple people and vehicles across an area, and uses computer vision technologies to better understand traffic patterns, sales conversion rates, customer dwell times and much more. It's possible to link real-time POS system data or step-by-step operational processes directly to Verkada cameras. Data is processed and stored both on the camera and in a secure cloud, enabling advanced analytics with low latency and system management from virtually anywhere.
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Funding: $775M
Harness is developing a platform for creating AI agents for the “after-code” phase of software development, which includes testing, security checks, verification and deployment - processes which consume nearly 70% of development cycle time. The startup aims to solve the problem of uncontrolled code risks caused by the use of AI for coding. The Harness platform is built on a software development knowledge graph that maps code changes, services, deployments, tests, environments, incidents, policies and costs. The company claims the knowledge graph gives the system a deep understanding of each client's software development processes and architecture.
Harness is developing a platform for creating AI agents for the “after-code” phase of software development, which includes testing, security checks, verification and deployment - processes which consume nearly 70% of development cycle time. The startup aims to solve the problem of uncontrolled code risks caused by the use of AI for coding. The Harness platform is built on a software development knowledge graph that maps code changes, services, deployments, tests, environments, incidents, policies and costs. The company claims the knowledge graph gives the system a deep understanding of each client's software development processes and architecture.
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Funding: $625M
MatX is an AI chip startup that designs chips that support large language models. The company’s goal is to make its processors 10 times better at training LLMs and delivering results than Nvidia’s GPUs.
MatX is an AI chip startup that designs chips that support large language models. The company’s goal is to make its processors 10 times better at training LLMs and delivering results than Nvidia’s GPUs.
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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.
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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.
