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London, United KingdomLondon, United Kingdom
Stanhope AI
Builds brain-inspired autonomous AI software for robots and drones, using Active Inference and the Free Energy Principle to enable adaptive decision-making on edge devices without large training datasets.
Founded 20211-10 employeesLondon, United Kingdom2 open positionsWebsiteLinkedIn
AI & Defence Software
Products & Solutions
FEM World Model
The Free Energy Minimizing (FEM) world model is Stanhope AI's core autonomous decision-making platform. It uses a hierarchical Active Inference architecture that enables robots and drones to plan flexible missions, reason about their environment and adapt to conditions they were not explicitly trained on. The model allows agents to describe their own reasoning, supporting human-machine teaming. FEMalpha is the first published iteration, demonstrated on autonomous drones across three distinct real-world missions.
About
Stanhope AI is a London-based deep-tech startup that applies neuroscience research to build autonomous AI for physical systems. Founded by Professor Rosalyn Moran, a computational neuroscientist, the company emerged from research conducted at University College London and King's College London on the Free Energy Principle — a mathematical theory of how brains process information and act in the world. Registered in England and Wales (Company No. 13271847), the company set out to bring this academic work into real engineering applications.
Offices
London, United KingdomBacked by
Frontline VenturesPaladin Capital GroupAuxxo Female Catalyst FundUCL Technology FundMMC VenturesMoonfire VenturesRockmount Capital
Customers & Partners
SPRIN-D (Germany's Federal Agency for Disruptive Innovation)Royal NavyUniversity College LondonKing's College London
Timeline
2026-02
Raised $8 million in a seed round led by Frontline Ventures, with Paladin Capital Group, Auxxo Female Catalyst Fund, UCL Technology Fund and MMC Ventures.
2024-09
Held Active Inference Exhibition demo event, publicly demonstrating the FEM world model on autonomous drones across three real-world missions.
2024-03
Raised £2.3 million in seed funding, led by UCL Technology Fund with Moonfire Ventures and Rockmount Capital.
2021
Founded by Professor Rosalyn Moran and registered in England and Wales, applying UCL and King's College London research into the Free Energy Principle to real-world autonomous systems.
Open Positions (2)
Stanhope AI
Builds brain-inspired autonomous AI software for robots and drones, using Active Inference and the Free Energy Principle to enable adaptive decision-making on edge devices without large training datasets.
Founded 20211-10 employeesLondon, United Kingdom2 open positionsWebsiteLinkedIn
AI & Defence Software
Products & Solutions
FEM World Model
The Free Energy Minimizing (FEM) world model is Stanhope AI's core autonomous decision-making platform. It uses a hierarchical Active Inference architecture that enables robots and drones to plan flexible missions, reason about their environment and adapt to conditions they were not explicitly trained on. The model allows agents to describe their own reasoning, supporting human-machine teaming. FEMalpha is the first published iteration, demonstrated on autonomous drones across three distinct real-world missions.
About
Stanhope AI is a London-based deep-tech startup that applies neuroscience research to build autonomous AI for physical systems. Founded by Professor Rosalyn Moran, a computational neuroscientist, the company emerged from research conducted at University College London and King's College London on the Free Energy Principle — a mathematical theory of how brains process information and act in the world. Registered in England and Wales (Company No. 13271847), the company set out to bring this academic work into real engineering applications.
Offices
London, United KingdomBacked by
Frontline VenturesPaladin Capital GroupAuxxo Female Catalyst FundUCL Technology FundMMC VenturesMoonfire VenturesRockmount Capital
Customers & Partners
SPRIN-D (Germany's Federal Agency for Disruptive Innovation)Royal NavyUniversity College LondonKing's College London
Timeline
2026-02
Raised $8 million in a seed round led by Frontline Ventures, with Paladin Capital Group, Auxxo Female Catalyst Fund, UCL Technology Fund and MMC Ventures.
2024-09
Held Active Inference Exhibition demo event, publicly demonstrating the FEM world model on autonomous drones across three real-world missions.
2024-03
Raised £2.3 million in seed funding, led by UCL Technology Fund with Moonfire Ventures and Rockmount Capital.
2021
Founded by Professor Rosalyn Moran and registered in England and Wales, applying UCL and King's College London research into the Free Energy Principle to real-world autonomous systems.
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