New and recently funded AI Startups
1
Country: USA | Funding: $335M
Ricursive is developing an AI system that designs chips—placing microcomponents on the chip to ensure performance, good power consumption, and any other design requirements. Their AI model is based on a self-improving "reward signal" that evaluates the design's quality and improves the agent after each subsequent chip is developed. Ricursive's platform also uses LLM for design validation. Nvidia is the startup's main investor and primary target customer, along with AMD and Intel.
Ricursive is developing an AI system that designs chips—placing microcomponents on the chip to ensure performance, good power consumption, and any other design requirements. Their AI model is based on a self-improving "reward signal" that evaluates the design's quality and improves the agent after each subsequent chip is developed. Ricursive's platform also uses LLM for design validation. Nvidia is the startup's main investor and primary target customer, along with AMD and Intel.
2
Country: USA
Parascript is a leading developer of AI solutions for document capture and recognition. The company's intelligent document recognition (IDR) solutions recognize both handwritten and printed text. The system is used to detect check fraud, verify signature authenticity, extract data from structured, semi-structured and unstructured documents (e.g., loan applications, mortgage documents, ballots, petitions) in banks, financial institutions, and government agencies. Acquired by Speak Seeds
Parascript is a leading developer of AI solutions for document capture and recognition. The company's intelligent document recognition (IDR) solutions recognize both handwritten and printed text. The system is used to detect check fraud, verify signature authenticity, extract data from structured, semi-structured and unstructured documents (e.g., loan applications, mortgage documents, ballots, petitions) in banks, financial institutions, and government agencies. Acquired by Speak Seeds
3
Country: Germany | Funding: $58.4M
omni:us creates an agent automation platform for insurance claims solutions. The company claims that agents can process common, low- and medium-complexity insurance claims from initial notification to settlement - faster than human experts, with over 98% accuracy and full compliance. Every agent step is logged for compliance and audit readiness. omni:us develops AI models designed specifically for insurance companies: trained on millions annotated insurance claims and refined through thousands of iterations. They process structured and unstructured text, images, and handwritten text in a single stream. The platform includes connectors for major property and casualty insurance systems.
omni:us creates an agent automation platform for insurance claims solutions. The company claims that agents can process common, low- and medium-complexity insurance claims from initial notification to settlement - faster than human experts, with over 98% accuracy and full compliance. Every agent step is logged for compliance and audit readiness. omni:us develops AI models designed specifically for insurance companies: trained on millions annotated insurance claims and refined through thousands of iterations. They process structured and unstructured text, images, and handwritten text in a single stream. The platform includes connectors for major property and casualty insurance systems.
4
Country: USA | Funding: $1.5B
Freenome has developed blood test for colorectal cancer detection based on artificial intelligence. Freenome's technology combines computational biology, machine learning and various data types to detect the most subtle signs of cancer, even in the earliest stages. In addition to colon cancer, the company is developing a test for lung cancer detection. Acquired by Perceptive Capital Solutions
Freenome has developed blood test for colorectal cancer detection based on artificial intelligence. Freenome's technology combines computational biology, machine learning and various data types to detect the most subtle signs of cancer, even in the earliest stages. In addition to colon cancer, the company is developing a test for lung cancer detection. Acquired by Perceptive Capital Solutions
5
Country: Israel | Funding: $111M
Orca AI is developing AI platform for shipping automation. Its core product is SeaPod, an AI-powered maritime navigation assistant that processes data from specialized video cameras and multiple information sources, simulating the process of a human watchkeeper 24/7, helping officers make more informed decisions. The Co-Captain system helps captains anticipate risks before they arise and make important decisions with confidence. The FleetView system enables fleet management, monitoring and improving safety and efficiency metrics in various situations, configuring the system to send alerts on important events, and identifying actionable trends based on monthly management reports.
Orca AI is developing AI platform for shipping automation. Its core product is SeaPod, an AI-powered maritime navigation assistant that processes data from specialized video cameras and multiple information sources, simulating the process of a human watchkeeper 24/7, helping officers make more informed decisions. The Co-Captain system helps captains anticipate risks before they arise and make important decisions with confidence. The FleetView system enables fleet management, monitoring and improving safety and efficiency metrics in various situations, configuring the system to send alerts on important events, and identifying actionable trends based on monthly management reports.
6
Country: USA | 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.
7
Country: USA | Funding: $63.7B
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
Anthropic was founded by a group of former OpenAI employees who wanted to preserve the goal of AI safety. Anthropic is one of technology leaders in the AI market. Its core product is a family of LLM models under the Claude brand, which are used in the form of a chatbot and API for business. The strength of this model is quality code generation. The company promotes an approach called "Constitutional AI" according to which models are trained according to a set of principles, values, and rules (like Asimov's Laws of Robotics). In addition to selling commercial products, the company is actively researching the interpretability of AI models and AGI.
8
Country: USA | Funding: $3.4B
Smartsheet is developing a cloud-based platform for managing workflows and projects within a spreadsheet interface. Smartsheet AI tools enable instant insights into your business and answer questions with charts and metrics. Built-in AI assistant uses projects and processes as a unified context and enables problem-solving through conversation. Built-in AI agents plan and optimize projects, connect systems, mitigating risks and automatically moving work forward under your approval and control. AI in spreadsheets accelerates workflows with intelligent columns, instantly transforming data, analyzing customer sentiment, and categorizing information.
Smartsheet is developing a cloud-based platform for managing workflows and projects within a spreadsheet interface. Smartsheet AI tools enable instant insights into your business and answer questions with charts and metrics. Built-in AI assistant uses projects and processes as a unified context and enables problem-solving through conversation. Built-in AI agents plan and optimize projects, connect systems, mitigating risks and automatically moving work forward under your approval and control. AI in spreadsheets accelerates workflows with intelligent columns, instantly transforming data, analyzing customer sentiment, and categorizing information.
9
Country: USA | Funding: $1.3B
Apptronik produces Apollo, a general-purpose humanoid robot suitable for use in warehouses, manufacturing facilities, in construction, oil and gas, electronics manufacturing, retail, home delivery, elderly care and many other fields. Apollo has a body shape and size similar to a human's, allowing it to navigate spatially and use our tools and equipment. This makes interaction with humans natural and enables it to perform tasks that would be difficult or impossible for other types of robots. Apollo has a modular design and can be mounted on any mobile platform, whether stationary or fully mobile with legs. Thanks to hot-swappable batteries, each rated for four hours of operation, Apollo can continue working simply by replacing the battery rather than charging it from the mains while not in use. When needed, Apollo can be connected to a charger or tethered to the mains for continuous operation.
Apptronik produces Apollo, a general-purpose humanoid robot suitable for use in warehouses, manufacturing facilities, in construction, oil and gas, electronics manufacturing, retail, home delivery, elderly care and many other fields. Apollo has a body shape and size similar to a human's, allowing it to navigate spatially and use our tools and equipment. This makes interaction with humans natural and enables it to perform tasks that would be difficult or impossible for other types of robots. Apollo has a modular design and can be mounted on any mobile platform, whether stationary or fully mobile with legs. Thanks to hot-swappable batteries, each rated for four hours of operation, Apollo can continue working simply by replacing the battery rather than charging it from the mains while not in use. When needed, Apollo can be connected to a charger or tethered to the mains for continuous operation.
10
Country: USA | Funding: $2B
UiPath develops the leading RPA platform for automating complex processes. It can be deployed in the cloud or on-premises and enables creation of AI agents, their orchestration, intelligent document processing and automation of user interfaces for any application. Agent-based UI automation intelligently understands screens, navigates layouts and recovers from unexpected changes. The system also enables the implementation of API-centric use cases to improve enterprise-wide data consistency and the automation of multi-step processes by combining API calls using deterministic logic.
UiPath develops the leading RPA platform for automating complex processes. It can be deployed in the cloud or on-premises and enables creation of AI agents, their orchestration, intelligent document processing and automation of user interfaces for any application. Agent-based UI automation intelligently understands screens, navigates layouts and recovers from unexpected changes. The system also enables the implementation of API-centric use cases to improve enterprise-wide data consistency and the automation of multi-step processes by combining API calls using deterministic logic.
