New and recently funded AI Startups
1
Country: USA | Funding: $300K
Endox develops physical-based articifial intelligence designed to perceive, adapt, and act in real time. Combining proprietary data acquisition technologies, next-generation robotics integration and edge-focused architectures, Endox creates systems scalable across various industries, including the US military.
Endox develops physical-based articifial intelligence designed to perceive, adapt, and act in real time. Combining proprietary data acquisition technologies, next-generation robotics integration and edge-focused architectures, Endox creates systems scalable across various industries, including the US military.
2
Country: USA | Funding: $5.5M
VoiceRun is a platform for developing voice-enabled AI agents. Unlike visual agent-builders, it allows to program voice agent behavior using code, which gives greater flexibility. In addition to creating code-based agents, VoiceRun also allows users to conduct A/B testing and instantly deploy solutions with a single click through the VoiceRun cloud telephony system and swap models instantly, backed by enterprise-grade security. The company is focused on enterprise developers, helping companies, for example, implement AI in their customer support services or assist tech companies in launching voice-based products. For example, the platform is used to create an AI concierge for restaurant reservations.
VoiceRun is a platform for developing voice-enabled AI agents. Unlike visual agent-builders, it allows to program voice agent behavior using code, which gives greater flexibility. In addition to creating code-based agents, VoiceRun also allows users to conduct A/B testing and instantly deploy solutions with a single click through the VoiceRun cloud telephony system and swap models instantly, backed by enterprise-grade security. The company is focused on enterprise developers, helping companies, for example, implement AI in their customer support services or assist tech companies in launching voice-based products. For example, the platform is used to create an AI concierge for restaurant reservations.
3
Country: Kazakhstan | Funding: $138M
Higgsfield is developing a service that enables consumers, creators, and social media teams to create and edit AI-powered videos. According to the company, the product is primarily used by professional social media marketers, which is "a key sign that the platform's adoption has expanded beyond random content creation." Its users also share numerous projects focused on fashion and Hollywood-style storytelling. The startup's strategy is based not on direct competition with giants like OpenAI, but on integrating and adapting existing AI models to solve specific business problems. The platform specializes in creating marketing video content, maintaining consistency across characters and branding thanks to its proprietary "reasoning engine."
Higgsfield is developing a service that enables consumers, creators, and social media teams to create and edit AI-powered videos. According to the company, the product is primarily used by professional social media marketers, which is "a key sign that the platform's adoption has expanded beyond random content creation." Its users also share numerous projects focused on fashion and Hollywood-style storytelling. The startup's strategy is based not on direct competition with giants like OpenAI, but on integrating and adapting existing AI models to solve specific business problems. The platform specializes in creating marketing video content, maintaining consistency across characters and branding thanks to its proprietary "reasoning engine."
4
Country: USA | Funding: $85.5M
WitnessAI develops a security system that creates the confidence layer for enterprise AI. It enables to monitor all AI activities within organization, protect models and applications (using next-generation AI Firewall and content controls), detect shadow AI use, catalog entire AI inventory (applications, MCP servers, agents), visualize all conversations with AI chats, including prompts and responses, implement intelligent controls and advanced business rules that record AI interactions among employees and agents, adapt to different usage contexts and reduce the cost of AI compliance.
WitnessAI develops a security system that creates the confidence layer for enterprise AI. It enables to monitor all AI activities within organization, protect models and applications (using next-generation AI Firewall and content controls), detect shadow AI use, catalog entire AI inventory (applications, MCP servers, agents), visualize all conversations with AI chats, including prompts and responses, implement intelligent controls and advanced business rules that record AI interactions among employees and agents, adapt to different usage contexts and reduce the cost of AI compliance.
5
Country: USA | Funding: $40
Depthfirst develops AI-native security platform General Security Intelligence, which analyzes the code, business logic and infrastructure of enterprise applications, identifies vulnerabilities, eliminates false positives and provides developers with recommendations for optimizing workflows. The platform also enables companies to protect against credential leaks and monitor threats to their open-source components and third-party developers. Depthfirst claims to be able to help protect companies from many "AI-driven vulnerabilities" and has already established partnerships with a number of well-known companies, including AngelList, Lovable and Moveworks.
Depthfirst develops AI-native security platform General Security Intelligence, which analyzes the code, business logic and infrastructure of enterprise applications, identifies vulnerabilities, eliminates false positives and provides developers with recommendations for optimizing workflows. The platform also enables companies to protect against credential leaks and monitor threats to their open-source components and third-party developers. Depthfirst claims to be able to help protect companies from many "AI-driven vulnerabilities" and has already established partnerships with a number of well-known companies, including AngelList, Lovable and Moveworks.
6
Country: Germany | Funding: $562M
Parloa is developing AI agents that automate customer service work previously handled by human representatives and help desk staff. They can handle millions of customer conversations across use cases, languages and regions and stay consistent and compliant. Parloa's platform enables tools to manage agents in the long run: natural language briefings, integrated testing, real-time monitoring and continuous improvement based on what customers actually say and do. Parloa’s AI agents are already answering calls for large enterprise customers, which include Allianz, Booking.com, HealthEquity, SAP, Sedgwick, and Swiss Life
Parloa is developing AI agents that automate customer service work previously handled by human representatives and help desk staff. They can handle millions of customer conversations across use cases, languages and regions and stay consistent and compliant. Parloa's platform enables tools to manage agents in the long run: natural language briefings, integrated testing, real-time monitoring and continuous improvement based on what customers actually say and do. Parloa’s AI agents are already answering calls for large enterprise customers, which include Allianz, Booking.com, HealthEquity, SAP, Sedgwick, and Swiss Life
7
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.
8
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.
9
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.
10
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.
