New and recently funded AI Startups
1
Country: UK | Funding: $104M
Inforcer develops Shadow AI detection platform to help organizations detect when employees are using unauthorized AI tools on company devices, and launching a threat detection and response tool to catch cybersecurity risks as they happen.
Inforcer develops Shadow AI detection platform to help organizations detect when employees are using unauthorized AI tools on company devices, and launching a threat detection and response tool to catch cybersecurity risks as they happen.
2
Country: UK | Funding: $60.5M
Cynomi addresses a critical gap in mid-market cyber protection - creating and executing a cyber and compliance strategy. It uses AI technology to emulate a human CISO and automate previously manual operations.
Cynomi addresses a critical gap in mid-market cyber protection - creating and executing a cyber and compliance strategy. It uses AI technology to emulate a human CISO and automate previously manual operations.
3
Country: USA | Funding: $19.75M
Capsule has built AI Studio, which focuses on AI-driven, post-production video edits. It uses AI and machine learning in a variety of models, including an ASR (automatic speech recognition) model for transcribing the video’s audio into text.
Capsule has built AI Studio, which focuses on AI-driven, post-production video edits. It uses AI and machine learning in a variety of models, including an ASR (automatic speech recognition) model for transcribing the video’s audio into text.
4
Country: Germany | Funding: $259.4M
N8n is a workflow automation tool that integrates AI capabilities with business process automation.
N8n is a workflow automation tool that integrates AI capabilities with business process automation.
5
Country: UAE | Funding: $12M
ClearGrid aims to help modernize debt collection and recovery with AI.
ClearGrid aims to help modernize debt collection and recovery with AI.
6
Country: UK | Funding: $60.2M
Using Artificial Intelligence (AI), deep learning algorithms Brainomix team is bringing complete stroke imaging decision support solution to hospitals worldwide.
Using Artificial Intelligence (AI), deep learning algorithms Brainomix team is bringing complete stroke imaging decision support solution to hospitals worldwide.
7
Country: Cyprus | Funding: $87M
Omilia develops AI-based agentic CX platform that can work across different customer contact points. Its self-learning AI adapts from real customer interactions to deliver faster answers, higher accuracy, and more personalized experiences - without constant manual tuning. Omilia’s clients include Taco Bell, Capital One, Discover, RBC, DWP, and PSEG
Omilia develops AI-based agentic CX platform that can work across different customer contact points. Its self-learning AI adapts from real customer interactions to deliver faster answers, higher accuracy, and more personalized experiences - without constant manual tuning. Omilia’s clients include Taco Bell, Capital One, Discover, RBC, DWP, and PSEG
8
Country: USA | Funding: $21.7M
Dili focuses on AI for compliance in construction projects, particularly those getting some kind of federal funding. Given high stakes in these projects, Dili’s architecture intends to prevent any LLM-based fuzziness from sneaking into the final product. Contemporary AI models are only used in the company’s data layer, the engine for taking unstructured documents and translating them into structured data. From there, a deterministic system sorts the data according to the complex-but-static compliance rules. When it works right, a task that used to take a full day’s work can now be dispatched in a matter of minutes.
Dili focuses on AI for compliance in construction projects, particularly those getting some kind of federal funding. Given high stakes in these projects, Dili’s architecture intends to prevent any LLM-based fuzziness from sneaking into the final product. Contemporary AI models are only used in the company’s data layer, the engine for taking unstructured documents and translating them into structured data. From there, a deterministic system sorts the data according to the complex-but-static compliance rules. When it works right, a task that used to take a full day’s work can now be dispatched in a matter of minutes.
9
Country: USA | Funding: $300M
Simile is building a foundation model that predicts human behavior in any situation, and a product that deploys it at scale. It creates simulated AI users for areas like marketing and product research. The startup’s stated mission of simulating “all eight billion people on earth, accurately and honestly” is preposterous — the whole reason to conduct market research is because humans are unpredictable, guided, as we are, by both emotions and reason.
Simile is building a foundation model that predicts human behavior in any situation, and a product that deploys it at scale. It creates simulated AI users for areas like marketing and product research. The startup’s stated mission of simulating “all eight billion people on earth, accurately and honestly” is preposterous — the whole reason to conduct market research is because humans are unpredictable, guided, as we are, by both emotions and reason.
10
Country: USA | Funding: $22M
Smallest.ai builds the full-stack voice AI infrastructure behind real-time, human-like enterprise voice agents. The company wants to make speaking to an AI agent indistinguishable from talking to a human. To do so, it’s developing a small voice model designed to mimic how humans process information by listening, thinking, and speaking simultaneously. The startup’s model serves as a real-time intelligence layer that enables natural customer conversations on specific topics, with virtually zero response lag. But if the model encounters a subject outside its limited knowledge base, Smallest.ai hands off the query to a large foundational model
Smallest.ai builds the full-stack voice AI infrastructure behind real-time, human-like enterprise voice agents. The company wants to make speaking to an AI agent indistinguishable from talking to a human. To do so, it’s developing a small voice model designed to mimic how humans process information by listening, thinking, and speaking simultaneously. The startup’s model serves as a real-time intelligence layer that enables natural customer conversations on specific topics, with virtually zero response lag. But if the model encounters a subject outside its limited knowledge base, Smallest.ai hands off the query to a large foundational model
