New and recently funded AI Startups
1
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
2
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.
3
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.
4
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
5
Country: USA | Funding: $8M
Tera AI provides superhuman spatial reasoning and visual navigation for robots
Tera AI provides superhuman spatial reasoning and visual navigation for robots
6
Country: UK | Funding: $3.5M
Agentic Marketing Technologies builds an Autonomous Marketing Team powered by AI agents.
Agentic Marketing Technologies builds an Autonomous Marketing Team powered by AI agents.
7
Country: USA | Funding: $925.4M
Etched.ai is an AI chip startup that develops Sohu, a chip designed specifically for running transformer models.
Etched.ai is an AI chip startup that develops Sohu, a chip designed specifically for running transformer models.
8
Country: USA | Funding: $15M
Infinity is building software to make it easier for AI chips to run AI models. It's s CUDA-alternative kernel software that works with any type of chip, like SRAM, GPUs, phone chips, and Systolic Arrays. Infinity is also building a universal inference library to run on all chips, allowing these chips to automate replicating state-of-the-art research results.
Infinity is building software to make it easier for AI chips to run AI models. It's s CUDA-alternative kernel software that works with any type of chip, like SRAM, GPUs, phone chips, and Systolic Arrays. Infinity is also building a universal inference library to run on all chips, allowing these chips to automate replicating state-of-the-art research results.
9
Country: Germany | Funding: $3.3B
Helsing develops hardware and software platform for defense. It makes drones and underwater surveillance weapons and builds artificial intelligence and autonomous software to power these military applications. Its HX-2 small AI strike drones are being supplied to the Ukrainian army. Its large UAV CA-1 Europa is an autonomous fighter jet in the three-to-five ton class is combining the Centaur AI software and mission stack with Grob's proven capability in aircraft design and manufacturing. And its underwater autonomous drone SG-1 + Lura is capable of discreetly patrolling in a swarm or holding position on the seabed, the glider operates at depth and throughout the water column.
Helsing develops hardware and software platform for defense. It makes drones and underwater surveillance weapons and builds artificial intelligence and autonomous software to power these military applications. Its HX-2 small AI strike drones are being supplied to the Ukrainian army. Its large UAV CA-1 Europa is an autonomous fighter jet in the three-to-five ton class is combining the Centaur AI software and mission stack with Grob's proven capability in aircraft design and manufacturing. And its underwater autonomous drone SG-1 + Lura is capable of discreetly patrolling in a swarm or holding position on the seabed, the glider operates at depth and throughout the water column.
10
Country: Israel | Funding: $53M
Hemispheric develops AI foundation model trained to decode non-invasive brain activity with breakthrough accuracy and translate it into actionable insights for clinicians and researchers. The brain signals are obtained through a lightweight dry EEG headset a patient wears on their head. For 15 minutes the individual interacts with an app on a tablet or phone while the system captures the individual's brain wave activity. The model then generates objective results for clinicians to use for diagnosis and to determine the most effective treatment that matches the patient's brain profile.
Hemispheric develops AI foundation model trained to decode non-invasive brain activity with breakthrough accuracy and translate it into actionable insights for clinicians and researchers. The brain signals are obtained through a lightweight dry EEG headset a patient wears on their head. For 15 minutes the individual interacts with an app on a tablet or phone while the system captures the individual's brain wave activity. The model then generates objective results for clinicians to use for diagnosis and to determine the most effective treatment that matches the patient's brain profile.
