Stanhope AI secures $8m to accelerate next-generation, brain-inspired intelligence

The deep tech spinout draws on pioneering research from UCL and King’s College London.

The round was led by Frontline Ventures, with participation from Paladin Capital Group, Auxxo Female Catalyst Fund, and follow-on investment from UCL Technology Fund and MMC Ventures.

Demonstrating strong international confidence in technology emerging from UCL’s research community, the new funding will help Stanhope scale its partnerships and expand field trials across several sectors throughout 2026.

The company’s technology has use cases for industries including manufacturing and aerospace, where adaptive behaviour under uncertainty is mission critical.

UCL Ventures' role

Marina Santilli, Interim Director (Physical Sciences & Engineering), said: “Stanhope AI captures exactly what UCL Ventures is here to do: bring great ideas to life and to market.

“From the earliest discussions about how this groundbreaking theory of neuroscience could move beyond the lab, through to the creation of the spinout with the early backing of our UCL Technology Fund, we’ve seen the team turn a powerful academic theory into a company with global potential. This seed round is an important milestone in that journey.”

The news follows a £2.3m funding round in 2024.

Advancing a ‘Real World Model’ for AI

Stanhope AI’s seed round comes at a moment of rapid shift toward on-device, energy-efficient AI, as highlighted by NVIDIA CEO Jensen Huang, who declared: “the ‘ChatGPT moment’ for physical AI is here”.

The company is building what it calls a Real World Model, inspired by the way the brain continually interprets and acts within dynamic environments. Unlike systems powered by large language models (LLMs), this approach adapts quickly, learning from uncertainty, and operating directly within physical spaces.

Co-founded in 2023 by computational neuroscientist Professor Rosalyn Moran, alongside theoretical neurobiologist Professor Karl Friston (UCL Institute of Neurology), the company’s technology is rooted in the Free Energy Principle and the field of Active Inference. In simple terms, our brains constantly predict what they are about to sense, then adjust those predictions as new information arrives, gradually refining how we interpret our surroundings.

Professor Moran said: “We’re moving from language-based AI to intelligence that can act to understand its world — a system with fundamental agency. Our approach doesn’t just process words; it interprets context, uncertainty, and physical reality.”