New and recently funded AI Startups
1
Country: USA | Funding: $1.8B
Skild AI is developing a general-purpose physics model for robots that can be adapted to any hardware and task. Skild's brain contains a world model (making it an approach to AGI), runs on an edge platform and enables robots to perform low-level skills such as grasping, transferring and navigating in unstructured environments. Developers can create their own AI algorithms and applications on the Skild platform using an API. The company is also developing its own universal humanoid robot model. The startup has strategic partnerships with LG CNS and Hewlett Packard Enterprise to develop its ecosystem.
Skild AI is developing a general-purpose physics model for robots that can be adapted to any hardware and task. Skild's brain contains a world model (making it an approach to AGI), runs on an edge platform and enables robots to perform low-level skills such as grasping, transferring and navigating in unstructured environments. Developers can create their own AI algorithms and applications on the Skild platform using an API. The company is also developing its own universal humanoid robot model. The startup has strategic partnerships with LG CNS and Hewlett Packard Enterprise to develop its ecosystem.
2
Country: USA | Funding: $223.5M
Kore.ai develops an agent-based AI platform for enterprises. It implements agent-based RAG search across various systems, workflow automation, AI agent management and governance across the enterprise and the creation of differentiated service experiences. AI agents can connect to business systems (Salesforce, SAP, Epic, and hundreds of others) and analyze data and workflows. AI agents can also extract data from files, chats, wikis and collaboration tools such as SharePoint, Slack, Confluence and Google Drive, without the need for manual searches. Multi-agent orchestration allows AI agents to collaborate, share memory and handle decision-making tasks of varying complexity.
Kore.ai develops an agent-based AI platform for enterprises. It implements agent-based RAG search across various systems, workflow automation, AI agent management and governance across the enterprise and the creation of differentiated service experiences. AI agents can connect to business systems (Salesforce, SAP, Epic, and hundreds of others) and analyze data and workflows. AI agents can also extract data from files, chats, wikis and collaboration tools such as SharePoint, Slack, Confluence and Google Drive, without the need for manual searches. Multi-agent orchestration allows AI agents to collaborate, share memory and handle decision-making tasks of varying complexity.
3
Country: Norway | Funding: $136.5M
1X is developing Neo - intelligent humanoid robot for home use that automates household chores and brings useful insight into every conversation. The company has created a proprietary artificial intelligence model that understands real-world dynamics and can help robots learn new information autonomously. It uses a combination of video and cues to imbue Neo robots with new abilities. The robot takes video data associated with specific cues and feeds it back into a model of the surrounding world. This model is then fed to a network of robots to give them a better understanding of the physical world and greater knowledge. This behavioral information can help 1X train these models to the point where robots can respond to cues they never did before.
1X is developing Neo - intelligent humanoid robot for home use that automates household chores and brings useful insight into every conversation. The company has created a proprietary artificial intelligence model that understands real-world dynamics and can help robots learn new information autonomously. It uses a combination of video and cues to imbue Neo robots with new abilities. The robot takes video data associated with specific cues and feeds it back into a model of the surrounding world. This model is then fed to a network of robots to give them a better understanding of the physical world and greater knowledge. This behavioral information can help 1X train these models to the point where robots can respond to cues they never did before.
4
Country: Ireland | Funding: $12.2M
Orreco develops AI analytics system for athletes and teams that analyzes athletes' biomarkers and suggests optimal training and performance regimens to reduce the risk of injury and achieve optimal season (and career) results. The system inputs include blood test results, athletic performance data, health state, sleep data (recorded by wearable devices), stress, muscle pain, fatigue, GPS data from games and training sessions, travel, game statistics, matches and much more. Based on this information, AI-app generates personalized recommendations for each player to improve performance and prolong their career. For team managers, general recommendations are generated based on the players' average condition and season goals. The startup is also developing the Fitrwoman app, which helps female athletes train and compete according to their menstrual cycle and hormone levels.
Orreco develops AI analytics system for athletes and teams that analyzes athletes' biomarkers and suggests optimal training and performance regimens to reduce the risk of injury and achieve optimal season (and career) results. The system inputs include blood test results, athletic performance data, health state, sleep data (recorded by wearable devices), stress, muscle pain, fatigue, GPS data from games and training sessions, travel, game statistics, matches and much more. Based on this information, AI-app generates personalized recommendations for each player to improve performance and prolong their career. For team managers, general recommendations are generated based on the players' average condition and season goals. The startup is also developing the Fitrwoman app, which helps female athletes train and compete according to their menstrual cycle and hormone levels.
5
Country: USA
Outlier is a platform operated by Scale AI that connects experts with leading AI companies to further train LLM models. Depending on their specialization, experts can create prompts, rank AI results, refine model responses, create complex tasks, develop response evaluation criteria, or perform other tasks that enhance AI performance. Available projects are diverse, and you can choose your area of expertise. Experts earn based on the number of hours they dedicate to the work, and they retain full control over their schedule with no minimum hours required. The startup partners with leading AI companies and research labs.
Outlier is a platform operated by Scale AI that connects experts with leading AI companies to further train LLM models. Depending on their specialization, experts can create prompts, rank AI results, refine model responses, create complex tasks, develop response evaluation criteria, or perform other tasks that enhance AI performance. Available projects are diverse, and you can choose your area of expertise. Experts earn based on the number of hours they dedicate to the work, and they retain full control over their schedule with no minimum hours required. The startup partners with leading AI companies and research labs.
6
Country: USA | Funding: $250M
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
LMArena, a startup originally launched as a research project at the Berkeley University, tests and ranks the performance of AI models. The company evaluates various models across a range of tasks, including text processing, code generation, computer vision, text-to-image conversion and other tasks. Models tested include various versions of OpenAI GPT, Google Gemini, Anthropic Claude and Grok, as well as models focused on specialized areas such as image generation, text-to-image conversion and logical reasoning. The company has also created a commercial service, AI Evaluations, through which businesses can hire the company to conduct model evaluations.
7
Country: USA
Observia AI uses Vision AI to monitor workplace behaviors, prevent accidents, and improve safety compliance. Its AI-powered platform enables real-time alerts, behavior observations, and centralized reporting to build safer, smarter workplaces.
Observia AI uses Vision AI to monitor workplace behaviors, prevent accidents, and improve safety compliance. Its AI-powered platform enables real-time alerts, behavior observations, and centralized reporting to build safer, smarter workplaces.
8
Country: UK | Funding: $545M
Quantexa has built a machine learning platform branded “Contextual Decision Intelligence” (CDI) that analyses disparate data points to get better insight into nefarious activity
Quantexa has built a machine learning platform branded “Contextual Decision Intelligence” (CDI) that analyses disparate data points to get better insight into nefarious activity
9
Country: USA | 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.
10
Country: USA | Funding: $46.1M
Artisan is creating an AI agent Ava that handles outbound direct marketing (cold contact) campaigns. It researches and contacts potential clients from dozens of sources, including email and professional social media. Ava automatically plans multi-channel sequences and contacts leads at the perfect moment, using intent signals to maximize conversion rates. One of its primary engagement channels, LinkedIn, temporarily blocked Artisan and forced the startup to remove all mentions of its social network from its website (however, it still allows data collection and messaging). Artisan is also developing agents to manage salespeople's schedules and qualify leads.
Artisan is creating an AI agent Ava that handles outbound direct marketing (cold contact) campaigns. It researches and contacts potential clients from dozens of sources, including email and professional social media. Ava automatically plans multi-channel sequences and contacts leads at the perfect moment, using intent signals to maximize conversion rates. One of its primary engagement channels, LinkedIn, temporarily blocked Artisan and forced the startup to remove all mentions of its social network from its website (however, it still allows data collection and messaging). Artisan is also developing agents to manage salespeople's schedules and qualify leads.
