New and recently funded AI Startups
1
Country: USA | Funding: $1.4B
AlphaSense develops AI-based market intelligence platform, enabling professionals to make critical decisions. Unlike standard search tools, AlphaSense's multi-agent research system analyzes qualitative data, structured financial data, and internal company knowledge, delivering accurate, verifiable results. Its AI agent autonomously generates comprehensive research results and creates investment-grade analytical reports. Customizable dashboards combine sources and present a unified view of competitors, industry trends, and macroeconomic themes. Excel integration and pre-built models accelerate analysis, while AI-powered workflows uncover strategic insights and decision-ready context.
AlphaSense develops AI-based market intelligence platform, enabling professionals to make critical decisions. Unlike standard search tools, AlphaSense's multi-agent research system analyzes qualitative data, structured financial data, and internal company knowledge, delivering accurate, verifiable results. Its AI agent autonomously generates comprehensive research results and creates investment-grade analytical reports. Customizable dashboards combine sources and present a unified view of competitors, industry trends, and macroeconomic themes. Excel integration and pre-built models accelerate analysis, while AI-powered workflows uncover strategic insights and decision-ready context.
2
Country: USA | Funding: $1.1B
DataRobot has pioneered some of the most important applied technological advancements in AI and machine learning, from inventing AutoML and Automated Time Series to trailblazing MLOps and generative AI. Its platform and solutions integrate into core business processes so teams can build, operate and govern AI at scale. Using the platform companies can develop, deliver, and govern agentic AI apps with a production-grade sandbox, library of tool accelerators, and comprehensive platform.
DataRobot has pioneered some of the most important applied technological advancements in AI and machine learning, from inventing AutoML and Automated Time Series to trailblazing MLOps and generative AI. Its platform and solutions integrate into core business processes so teams can build, operate and govern AI at scale. Using the platform companies can develop, deliver, and govern agentic AI apps with a production-grade sandbox, library of tool accelerators, and comprehensive platform.
3
Country: USA | Funding: $850M
Skydio produces smart drones for security, facility maintenance and defense. Skydio drones help complete even the most dangerous jobs safer, more efficiently and faster thanks to remote half-autonomous control. The Skydio Autonomy operating system sees and solves complex navigation problems in real time. It controls the drone in the most challenging conditions, automatically avoiding obstacles as small as a 1.2-centimeter wire, autonomously plans and executes optimal flight route, taking into account terrain, buildings, geofences, flight rules and airspace regulations. The operator can simply specify the destination. Skydio's main project is "Drone as a Rapid Response" (DFR) for police. When emergency call is received, Skydio X10 drones launch from their docking stations in seconds to respond, track objects, broadcast live streams and provide real-time situational awareness both indoors and outdoors, ensuring the safety of police officers and people nearby.
Skydio produces smart drones for security, facility maintenance and defense. Skydio drones help complete even the most dangerous jobs safer, more efficiently and faster thanks to remote half-autonomous control. The Skydio Autonomy operating system sees and solves complex navigation problems in real time. It controls the drone in the most challenging conditions, automatically avoiding obstacles as small as a 1.2-centimeter wire, autonomously plans and executes optimal flight route, taking into account terrain, buildings, geofences, flight rules and airspace regulations. The operator can simply specify the destination. Skydio's main project is "Drone as a Rapid Response" (DFR) for police. When emergency call is received, Skydio X10 drones launch from their docking stations in seconds to respond, track objects, broadcast live streams and provide real-time situational awareness both indoors and outdoors, ensuring the safety of police officers and people nearby.
4
Country: USA | Funding: $301M
Quora is a question-and-answer platform that allows users to ask and answer questions on a wide range of topics and develops AI chat bot platform Poe that aggregates a wide range of LLMs like ChatGPT, Claude, DeepSeek, Llama and others. Quora also provides creator monetization program for Poe, which allows people who create bots or prompts on Poe to generate revenue. Even developers who integrate bots with the Poe AI are eligible to earn money.
Quora is a question-and-answer platform that allows users to ask and answer questions on a wide range of topics and develops AI chat bot platform Poe that aggregates a wide range of LLMs like ChatGPT, Claude, DeepSeek, Llama and others. Quora also provides creator monetization program for Poe, which allows people who create bots or prompts on Poe to generate revenue. Even developers who integrate bots with the Poe AI are eligible to earn money.
5
Country: USA | Funding: $50M
Daydream focuses on delivering personalized fashion search results using generative AI and computer vision. The service allows users to search for products using natural language queries and images for example "I'm going to a wedding in Costa Rica this summer and need suggestions on what to wear." You can upload an image of a garment and add an additional filter using conversational language, such as, "I want this in blue." Daydream refines existing models and creates a detailed product catalog dataset, combined with a "deep understanding of the fashion world." The startup's idea isn't unique, and they say good execution, customization of high-quality models, and the creation of a great user interface are key to the company's standing out.
Daydream focuses on delivering personalized fashion search results using generative AI and computer vision. The service allows users to search for products using natural language queries and images for example "I'm going to a wedding in Costa Rica this summer and need suggestions on what to wear." You can upload an image of a garment and add an additional filter using conversational language, such as, "I want this in blue." Daydream refines existing models and creates a detailed product catalog dataset, combined with a "deep understanding of the fashion world." The startup's idea isn't unique, and they say good execution, customization of high-quality models, and the creation of a great user interface are key to the company's standing out.
6
Country: USA | Funding: $451M
SoundHound develops a platform for creating voice-enabled AI agents for customer service, sales and marketing, IT service management. Its proprietary automatic speech recognition (ASR) model Polaris is designed with acoustics in mind for noisy environments and can be customized to the unique context of a business. The platform integrates with any LLM and uses proprietary real-time speech-to-meaning and deep understanding technology, which can be integrated into business services and devices. SoundHound is also known for its music recognition apps, Chat AI personal voice assistant, and Amelia automated customer support platform.
SoundHound develops a platform for creating voice-enabled AI agents for customer service, sales and marketing, IT service management. Its proprietary automatic speech recognition (ASR) model Polaris is designed with acoustics in mind for noisy environments and can be customized to the unique context of a business. The platform integrates with any LLM and uses proprietary real-time speech-to-meaning and deep understanding technology, which can be integrated into business services and devices. SoundHound is also known for its music recognition apps, Chat AI personal voice assistant, and Amelia automated customer support platform.
7
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.
8
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).
9
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.
10
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.
