Top 100 AI startups in USA
Jun 24, 2026
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30
1
Funding: $2.4B
Groq creates hardware AI accelerators for large language models that improve performance and reduce power consumption compared to classic GPU accelerators. It produces a Language Processing Unit (LPU) chip that uses exclusively on-chip SRAM memory (without external DRAM/HBM modules), which requires installing multiple chips for scalable payloads. Its architecture minimizes elements associated with unpredictable behavior (branch prediction, caches, etc.). Groq enables best performance for small and medium batch/task sizes, especially if the model fits into their configuration. The software-defined, single-core architecture removes traditional software complexity while continuous, token-based execution delivers consistent performance without tradeoffs. Groq licenses its technology to NVidia. The company also provides its cloud AI inference platform built for developers - available in public, private, or co-cloud instances.
Groq creates hardware AI accelerators for large language models that improve performance and reduce power consumption compared to classic GPU accelerators. It produces a Language Processing Unit (LPU) chip that uses exclusively on-chip SRAM memory (without external DRAM/HBM modules), which requires installing multiple chips for scalable payloads. Its architecture minimizes elements associated with unpredictable behavior (branch prediction, caches, etc.). Groq enables best performance for small and medium batch/task sizes, especially if the model fits into their configuration. The software-defined, single-core architecture removes traditional software complexity while continuous, token-based execution delivers consistent performance without tradeoffs. Groq licenses its technology to NVidia. The company also provides its cloud AI inference platform built for developers - available in public, private, or co-cloud instances.
2
Funding: $9M
Probably develops technology that can prevent LLM hallucinations and simple factual errors. It's a sophisticated security system, which the startup describes as a "mechanical data suit." LLM results are verified using a deterministic validation system that returns any results that don't match the dataset. Each result is accompanied by a link to the source and an audit trail of the development process, a practice that is becoming increasingly common among AI tools.
Probably develops technology that can prevent LLM hallucinations and simple factual errors. It's a sophisticated security system, which the startup describes as a "mechanical data suit." LLM results are verified using a deterministic validation system that returns any results that don't match the dataset. Each result is accompanied by a link to the source and an audit trail of the development process, a practice that is becoming increasingly common among AI tools.
3
Funding: $128.7B
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.
4
Funding: $337M
Odyssey is an AI lab focused on creating universal world models, which the company calls new form of audiovisual intelligence. These models are to form the basis of the next generation of games, films, education content, training simulations and advertising. These models don't just generate video - they enable interaction with the 3D world i.e. creation of interactive videos. The company achieves this through a new multi-stage training pipeline that transforms the model into a causal behavioral video model that reacts to actions in real time and continuously responds to input. As you play the video, you shape it in real time using natural text prompts, similar to communicating with a language model.
Odyssey is an AI lab focused on creating universal world models, which the company calls new form of audiovisual intelligence. These models are to form the basis of the next generation of games, films, education content, training simulations and advertising. These models don't just generate video - they enable interaction with the 3D world i.e. creation of interactive videos. The company achieves this through a new multi-stage training pipeline that transforms the model into a causal behavioral video model that reacts to actions in real time and continuously responds to input. As you play the video, you shape it in real time using natural text prompts, similar to communicating with a language model.
5
Funding: $27M
CopilotKit develops framework for creating interactive in-app AI agents. The company believes that in the future, agents will run inside apps, understand user actions, perform necessary actions, and display useful interfaces instead of simply returning long blocks of text. The company's open AG-UI protocol standardizes how AI agents connect and interact with user interfaces (such as a web browser or app), enabling such features as threaded chat, interface tool calls, and state exchange to enable human-assisted functionality. CopilotKit is also developing an enterprise toolkit based on AG-UI, adding support, self-service deployment features, and other necessary features for companies planning to integrate agents into their products.
CopilotKit develops framework for creating interactive in-app AI agents. The company believes that in the future, agents will run inside apps, understand user actions, perform necessary actions, and display useful interfaces instead of simply returning long blocks of text. The company's open AG-UI protocol standardizes how AI agents connect and interact with user interfaces (such as a web browser or app), enabling such features as threaded chat, interface tool calls, and state exchange to enable human-assisted functionality. CopilotKit is also developing an enterprise toolkit based on AG-UI, adding support, self-service deployment features, and other necessary features for companies planning to integrate agents into their products.
6
Funding: $20.1M
Vapi is a voice AI platform that allows developers to build, test and deploy voice agents for phone calls and customer support.
Vapi is a voice AI platform that allows developers to build, test and deploy voice agents for phone calls and customer support.
7
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.
8
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.
9
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).
10
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.
11
Funding: $896M
Cognition, the startup behind Devin - popular AI programming agent and of (acquired) AI-powered integrated development environment Windsurf. It was one of the first AI startups to launch a full-fledged AI programming agent, which not only assisted with tasks but promised to fully automate them. However, early reviews showed that Devin was prone to errors, perhaps indicating that the AI agent technology was ahead of its time. However, the agent gradually became reliable enough even for enterprise development teams. The company has hundreds of enterprise clients, including Microsoft, NVidia, JP Morgan, and Goldman Sachs. Devin can clear backlog, modernize codebase and assist with new projects. It's built for collaboration, integrates with GitHab and can be trained to fit company's unique workflow. It also connects to MCP servers, from Asana to Zapier.
Cognition, the startup behind Devin - popular AI programming agent and of (acquired) AI-powered integrated development environment Windsurf. It was one of the first AI startups to launch a full-fledged AI programming agent, which not only assisted with tasks but promised to fully automate them. However, early reviews showed that Devin was prone to errors, perhaps indicating that the AI agent technology was ahead of its time. However, the agent gradually became reliable enough even for enterprise development teams. The company has hundreds of enterprise clients, including Microsoft, NVidia, JP Morgan, and Goldman Sachs. Devin can clear backlog, modernize codebase and assist with new projects. It's built for collaboration, integrates with GitHab and can be trained to fit company's unique workflow. It also connects to MCP servers, from Asana to Zapier.
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: $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.
14
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.
15
Funding: $594.9M
Kodiak Robotics is an autonomous vehicle company developing self-driving solutions for long-haul trucking to enhance safety and efficiency.
Kodiak Robotics is an autonomous vehicle company developing self-driving solutions for long-haul trucking to enhance safety and efficiency.
16
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.
17
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.
18
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.
19
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.
20
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.
21
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.
22
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.
23
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.
24
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.
25
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.
26
Funding: $50M
Rox leverages AI agents to enhance sales productivity, providing actionable insights that help close deals.
Rox leverages AI agents to enhance sales productivity, providing actionable insights that help close deals.
27
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.
28
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.
29
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.
30
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.
31
Funding: $36M
Sandbar creates AI smart ring focused on note-taking. It has a microphone that can be activated using a flat, touch-sensitive panel at the top. You can hold this touch panel to record notes, chat with an AI assistant on the accompanying phone app, and access media controls like play, pause, skip tracks, and control the volume. Notes are saved to phone app that can be used on its own to take notes in case the ring is charging or has been misplaced. The startup plans to start shipping the smart ring in 2026.
Sandbar creates AI smart ring focused on note-taking. It has a microphone that can be activated using a flat, touch-sensitive panel at the top. You can hold this touch panel to record notes, chat with an AI assistant on the accompanying phone app, and access media controls like play, pause, skip tracks, and control the volume. Notes are saved to phone app that can be used on its own to take notes in case the ring is charging or has been misplaced. The startup plans to start shipping the smart ring in 2026.
32
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.
33
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
34
Funding: $25M
Deccan AI specializes in providing high-quality, human-labeled data for AI model training and evaluation.
Deccan AI specializes in providing high-quality, human-labeled data for AI model training and evaluation.
35
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.
36
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.
37
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.
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: $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.
40
Funding: $10.5M
Lemon Slice creates a platform for generating video avatars for live chat on a website or inside mobile app. The avatar is created from a single image and can be anything from realistic human to cartoonish person or a cat. After creating the avatar you can set up the background, style and appearance. The model creates the avatar's intelligence from knowledge base data, so it can answer customer inquiries, help kids with homework or even act as a psychologist. Lemon Slice claims its model has 20 billion parameters, run on a single GPU and can stream live video at 20 frames per second. The company provides its model via an API and an embeddable widget so that companies can easily integrate it into their websites with a single line of code.
Lemon Slice creates a platform for generating video avatars for live chat on a website or inside mobile app. The avatar is created from a single image and can be anything from realistic human to cartoonish person or a cat. After creating the avatar you can set up the background, style and appearance. The model creates the avatar's intelligence from knowledge base data, so it can answer customer inquiries, help kids with homework or even act as a psychologist. Lemon Slice claims its model has 20 billion parameters, run on a single GPU and can stream live video at 20 frames per second. The company provides its model via an API and an embeddable widget so that companies can easily integrate it into their websites with a single line of code.
41
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.
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Funding: $9.3M
Onton is developing AI-chat-based search engine for online furniture stores. The company uses so-called neurosymbolic architecture to overcome the hallucination problems inherent in LLM and provide higher-quality, logical search results. The startup's model can also be trained using real-world information that doesn't necessarily need to be included in product descriptions. For example, if you search for pet-friendly furniture, the model will learn and start return only furniture that is stain- and scratch-resistant. You can also upload an image to Onton's chat to generate a desired design for your home or office, and Onton will then select furniture based on it. The service also offers an infinite image generation canvas, where you can add existing images along with products you've found for inspiration.
Onton is developing AI-chat-based search engine for online furniture stores. The company uses so-called neurosymbolic architecture to overcome the hallucination problems inherent in LLM and provide higher-quality, logical search results. The startup's model can also be trained using real-world information that doesn't necessarily need to be included in product descriptions. For example, if you search for pet-friendly furniture, the model will learn and start return only furniture that is stain- and scratch-resistant. You can also upload an image to Onton's chat to generate a desired design for your home or office, and Onton will then select furniture based on it. The service also offers an infinite image generation canvas, where you can add existing images along with products you've found for inspiration.
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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.
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Funding: $7.4M
Conntour is developing an AI-powered search engine for video surveillance systems. It allows security personnel to query camera video streams using natural language to find any object, person, or situation in real time. For example, a user could ask, "Find instances of someone wearing sneakers passing a bag in the lobby," and Conntour's system will quickly search all recorded video footage or live video streams to return relevant results. The system can also autonomously monitor and detect threats based on preset rules and automatically issue alerts. The company claims that the platform differs from other AI-powered video search services in that it is designed to efficiently scale to systems containing thousands of camera streams.
Conntour is developing an AI-powered search engine for video surveillance systems. It allows security personnel to query camera video streams using natural language to find any object, person, or situation in real time. For example, a user could ask, "Find instances of someone wearing sneakers passing a bag in the lobby," and Conntour's system will quickly search all recorded video footage or live video streams to return relevant results. The system can also autonomously monitor and detect threats based on preset rules and automatically issue alerts. The company claims that the platform differs from other AI-powered video search services in that it is designed to efficiently scale to systems containing thousands of camera streams.
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Funding: $7M
Atomic Canyon uses artificial intelligence to improve efficiency and optmize operations of nuclear power plants. The company is developing Neutron, an AI search engine for searching billions of pages of nuclear documentation. Using the Nuclear Regulatory Commission (NRC) database and the world's fastest supercomputer at Oak Ridge National Laboratory (ORNL), it understands and processes nuclear terminology with unprecedented accuracy, interpreting complex documents to let executives make more informed data-driven decisions. Neutron is based on open-source AI model FERMI intended for sentence vector representations, specifically designed for nuclear data. Atomic Canyon is working in partnership with PG&E's Diablo Canyon power plant, the only remaining nuclear power plant in California.
Atomic Canyon uses artificial intelligence to improve efficiency and optmize operations of nuclear power plants. The company is developing Neutron, an AI search engine for searching billions of pages of nuclear documentation. Using the Nuclear Regulatory Commission (NRC) database and the world's fastest supercomputer at Oak Ridge National Laboratory (ORNL), it understands and processes nuclear terminology with unprecedented accuracy, interpreting complex documents to let executives make more informed data-driven decisions. Neutron is based on open-source AI model FERMI intended for sentence vector representations, specifically designed for nuclear data. Atomic Canyon is working in partnership with PG&E's Diablo Canyon power plant, the only remaining nuclear power plant in California.
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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.
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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.
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Funding: $5.8M
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
Luminal develops a compiler for optimizing machine learning models and provides cloud platform for running optimized models. Companies upload their Huggingface models and their weights to the Luminal cloud and receive a serverless endpoint (i.e., you simply send a request for example, an image, text, or audio to a special URL and receive the result). Luminal compiles models into GPU code with zero overhead. Optimization methods allow to squeeze more computing power out of existing infrastructure. The compiler, which sits between the written code and the GPU hardware, effectively competes with Nvidia's proprietary CUDA stack.
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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.
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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.
