New and recently funded AI Startups
1
Country: France | Funding: $540M
Shift Technology is developing an AI platform for insurance using generative, agent-based and predictive models. AI-based functions include risk underwriting (policy fraud detection and premium leakage prevention), fraud detection, case investigation management with greater accuracy, speed and efficiency, as well as support for AML, KYC and risk and compliance management. Agent-based AI enables faster claim processing, accurate liability assessment, prevention of missed reimbursement opportunities and ensures payment accuracy in healthcare.
Shift Technology is developing an AI platform for insurance using generative, agent-based and predictive models. AI-based functions include risk underwriting (policy fraud detection and premium leakage prevention), fraud detection, case investigation management with greater accuracy, speed and efficiency, as well as support for AML, KYC and risk and compliance management. Agent-based AI enables faster claim processing, accurate liability assessment, prevention of missed reimbursement opportunities and ensures payment accuracy in healthcare.
2
Country: USA | 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.
3
Country: USA | Funding: $148.9M
Slingshot Aerospace develops an integrated AI platform for processing real-time and historical satellite data and delivers it to customers via modular APIs, MCP servers or SaaS interfaces. The platform's customers include both space companies requiring data for orbital risk and maneuver planning and ground-based companies for monitoring and planning ground operations (particularly military ops). Slingshot's proprietary sensor network is the world's only day/night optical observation network from low-Earth orbit to geostationary orbit, providing high-frequency observations and tracking in near-real time. The AI model combines historical trends with real-time data to highlight anomalies, detect unexpected events, and identify emerging operational risks early to ensure rapid response and coordination.
Slingshot Aerospace develops an integrated AI platform for processing real-time and historical satellite data and delivers it to customers via modular APIs, MCP servers or SaaS interfaces. The platform's customers include both space companies requiring data for orbital risk and maneuver planning and ground-based companies for monitoring and planning ground operations (particularly military ops). Slingshot's proprietary sensor network is the world's only day/night optical observation network from low-Earth orbit to geostationary orbit, providing high-frequency observations and tracking in near-real time. The AI model combines historical trends with real-time data to highlight anomalies, detect unexpected events, and identify emerging operational risks early to ensure rapid response and coordination.
4
Country: USA | 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.
5
Country: USA | 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.
6
Country: France | Funding: $78.6M
Kayrros develops Geospatial & AI Data Platform for data analysis, helping global energy market participants make more informed investment and environmental decisions. This data includes, for example, data on oil production, solar power plant construction, energy storage systems, wildfires, deforestation, methane emissions and more. Kayrros also provides trading houses and hedge funds with precise, data-driven decisions to navigate the growing market volatility caused by the energy transition, changing geopolitics and the AI boom. The company uses AI to process, combine, enhance and analyze data from over 20 satellite constellations. It provides clients with high-frequency, granular analytics that they can use in near real-time for decision-making or directly incorporate into their AI models.
Kayrros develops Geospatial & AI Data Platform for data analysis, helping global energy market participants make more informed investment and environmental decisions. This data includes, for example, data on oil production, solar power plant construction, energy storage systems, wildfires, deforestation, methane emissions and more. Kayrros also provides trading houses and hedge funds with precise, data-driven decisions to navigate the growing market volatility caused by the energy transition, changing geopolitics and the AI boom. The company uses AI to process, combine, enhance and analyze data from over 20 satellite constellations. It provides clients with high-frequency, granular analytics that they can use in near real-time for decision-making or directly incorporate into their AI models.
7
Country: USA | 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.
8
Country: Germany | Funding: $544.4
Volocopter produces electric air taxis VoloCity for transporting people in cities and suburbs. According to the company, its eVTOL aircraft is silent, environmentally friendly and as safe as commercial airlines. The compact design, combined with vertical takeoff and landing capabilities, makes it ideal for flights in cities and terrain inaccessible to other modes of transport. The company has also developed the VOLOIQ software platform, which serves as the foundation of the Volocopter urban air mobility ecosystem. Powered by artificial intelligence, it provides technologically advanced analytics for fleet management and optimization. It uses AI to predict weather, distribute flights among passengers, optimize aircraft charging, process safety data from multiple sensors, predict breakdowns, and create optimal maintenance schedules. Acquired by Diamond Aircraft
Volocopter produces electric air taxis VoloCity for transporting people in cities and suburbs. According to the company, its eVTOL aircraft is silent, environmentally friendly and as safe as commercial airlines. The compact design, combined with vertical takeoff and landing capabilities, makes it ideal for flights in cities and terrain inaccessible to other modes of transport. The company has also developed the VOLOIQ software platform, which serves as the foundation of the Volocopter urban air mobility ecosystem. Powered by artificial intelligence, it provides technologically advanced analytics for fleet management and optimization. It uses AI to predict weather, distribute flights among passengers, optimize aircraft charging, process safety data from multiple sensors, predict breakdowns, and create optimal maintenance schedules. Acquired by Diamond Aircraft
9
Country: Japan | Funding: ¥13.6B
AI Medical Service develops AI-based software and device to support endoscopic imaging of the stomach and detect gastric cancer. The company has already received certification (in Japan) for its AI-based endoscopic detection add-on device, which operates inside the stomach. The AI system analyzes endoscopic images of the stomach obtained by endoscopic equipment during an endoscopic examination. The device then detects areas in the images suspicious for early gastric adenoma and assists physicians in diagnosing these lesions by placing a frame within the image and playing a sound. These mechanisms help the observer to focuse attention, interpret the image and detect lesions.
AI Medical Service develops AI-based software and device to support endoscopic imaging of the stomach and detect gastric cancer. The company has already received certification (in Japan) for its AI-based endoscopic detection add-on device, which operates inside the stomach. The AI system analyzes endoscopic images of the stomach obtained by endoscopic equipment during an endoscopic examination. The device then detects areas in the images suspicious for early gastric adenoma and assists physicians in diagnosing these lesions by placing a frame within the image and playing a sound. These mechanisms help the observer to focuse attention, interpret the image and detect lesions.
10
Country: USA | Funding: $163.9M
Carbon Robotics creates agricultural robot LaserWeeder, which recognizes weeds using computer vision and destroys them with a laser. The robot is mounted on a combine harvester and receives information from a camera system. The company has developed an artificial intelligence model - Large Plant Model (LPM), which allows farmers to identify and destroy new weeds without reprogramming/retraining robots. LPM was trained on over 150 million photos and data collected by the company's machines on more than 100 farms in 15 countries where the robots are currently operating. This model now forms the basis of Carbon AI, the artificial intelligence system that serves as the "brain" of the company's autonomous weed-killing robots. Carbon Robotics has also created its own autonomous tractor - LaserWeeder.
Carbon Robotics creates agricultural robot LaserWeeder, which recognizes weeds using computer vision and destroys them with a laser. The robot is mounted on a combine harvester and receives information from a camera system. The company has developed an artificial intelligence model - Large Plant Model (LPM), which allows farmers to identify and destroy new weeds without reprogramming/retraining robots. LPM was trained on over 150 million photos and data collected by the company's machines on more than 100 farms in 15 countries where the robots are currently operating. This model now forms the basis of Carbon AI, the artificial intelligence system that serves as the "brain" of the company's autonomous weed-killing robots. Carbon Robotics has also created its own autonomous tractor - LaserWeeder.
