New and recently funded AI Startups
1
Country: Canada | Funding: $33.4M
ThinkLabs AI is building artificial intelligence models that simulate the behavior of the electric grid. The models can calculate things like interconnection of large loads, like data centers or electric vehicle charging and understand the impact they have on the grid. According to the company, its platform can compress a month-long grid study into under three minutes and run 10 million scenarios in 10 minutes, while maintaining greater than 99.7% accuracy on grid power flow calculations. ThinkLabs trains its AI on the outputs of first-principles physics simulators (the same tools utilities already trust) and then validates its models against those simulators.
ThinkLabs AI is building artificial intelligence models that simulate the behavior of the electric grid. The models can calculate things like interconnection of large loads, like data centers or electric vehicle charging and understand the impact they have on the grid. According to the company, its platform can compress a month-long grid study into under three minutes and run 10 million scenarios in 10 minutes, while maintaining greater than 99.7% accuracy on grid power flow calculations. ThinkLabs trains its AI on the outputs of first-principles physics simulators (the same tools utilities already trust) and then validates its models against those simulators.
2
Country: UK
DeepMind was acquired by Google as a leading ML startup and now acts as its mostly independent AI division. Its initial goal was to create strong artificial intelligence, which the developers hoped to achieve through the ability to play games (Atari, Go, chess, Dota) and control physical robots. DeepMind gradually took over all of Google's AI projects, including the LLM model and the Gemini chatbot. DeepMind was one of the first to develop multimodal intelligence, including language, code, images, video and 3D world generation. Furthermore, the startup continues projects of creating specialized machine learning systems for various industries, including medicine (drug development) and energy (energy optimization for Google's data centers).
DeepMind was acquired by Google as a leading ML startup and now acts as its mostly independent AI division. Its initial goal was to create strong artificial intelligence, which the developers hoped to achieve through the ability to play games (Atari, Go, chess, Dota) and control physical robots. DeepMind gradually took over all of Google's AI projects, including the LLM model and the Gemini chatbot. DeepMind was one of the first to develop multimodal intelligence, including language, code, images, video and 3D world generation. Furthermore, the startup continues projects of creating specialized machine learning systems for various industries, including medicine (drug development) and energy (energy optimization for Google's data centers).
3
Country: UK | Funding: $2.7B
Isomorphic Labs is a spin-off of Google DeepMind, developing and designing drugs based on the AlphaFold platform, which predicts protein structures. The company has created powerful predictive and generative AI models that simulate complex biological phenomena to aid in the development of new molecules, predicting drug effectiveness, and creating innovative drugs to treat and cure some of the world's most devastating diseases. The company also provides scientists with the freely available AlphaFold Protein Structure Database, which gives open access to over 200 million protein structure predictions to accelerate scientific research.
Isomorphic Labs is a spin-off of Google DeepMind, developing and designing drugs based on the AlphaFold platform, which predicts protein structures. The company has created powerful predictive and generative AI models that simulate complex biological phenomena to aid in the development of new molecules, predicting drug effectiveness, and creating innovative drugs to treat and cure some of the world's most devastating diseases. The company also provides scientists with the freely available AlphaFold Protein Structure Database, which gives open access to over 200 million protein structure predictions to accelerate scientific research.
4
Country: USA | Funding: $4.7B
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.
5
Country: Armenia | Funding: $25.3M
Wirestock supplies datasets of images, videos, design assets, and gaming and 3D content to AI labs. Wirestock said its platform has signed up more than 700,000 artists and designers who complete different tasks for data collection, similar to freelancers on platforms like Fiverr.
Wirestock supplies datasets of images, videos, design assets, and gaming and 3D content to AI labs. Wirestock said its platform has signed up more than 700,000 artists and designers who complete different tasks for data collection, similar to freelancers on platforms like Fiverr.
6
Country: USA | 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.
7
Country: USA | 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.
8
Country: USA | 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.
9
Country: USA | Funding: $73M
Otter.ai is an AI assistant for video meeting transcription, note-taking, searching and sharing recordings of meetings, lectures, and live streams. You can add Otter directly to a video conference or grant it access to recordings, and it will transcribe the entire conversation, capture highlights, and automate follow-up actions. Otter's AI-powered chat combines meetings and connected apps, instantly answering questions and helping you create follow-up actions, reports and content using LLM models like ChatGPT, Claude, and others via the MCP server. The assistant supports numerous integrations with tools like Slack, Zoom, Google Meet, Salesforce, Google Drive, and many others.
Otter.ai is an AI assistant for video meeting transcription, note-taking, searching and sharing recordings of meetings, lectures, and live streams. You can add Otter directly to a video conference or grant it access to recordings, and it will transcribe the entire conversation, capture highlights, and automate follow-up actions. Otter's AI-powered chat combines meetings and connected apps, instantly answering questions and helping you create follow-up actions, reports and content using LLM models like ChatGPT, Claude, and others via the MCP server. The assistant supports numerous integrations with tools like Slack, Zoom, Google Meet, Salesforce, Google Drive, and many others.
10
Country: USA | Funding: $81M
Read AI creates a virtual assistant for work that summarizes emails and meetings in Google Meet, Slack, Zoom, and Teams. It also generates insights and instant responses, and provides AI-powered smart search that combines information from meetings, emails, chats, CRM, and workflows. The company offers desktop and mobile apps and a Chrome extension.
Read AI creates a virtual assistant for work that summarizes emails and meetings in Google Meet, Slack, Zoom, and Teams. It also generates insights and instant responses, and provides AI-powered smart search that combines information from meetings, emails, chats, CRM, and workflows. The company offers desktop and mobile apps and a Chrome extension.
