Stanhope AI, a pioneering company integrating decades of neuroscience research into artificial intelligence (AI) systems, has successfully raised £2.3 million in seed funding. The investment round was spearheaded by the UCL Technology Fund, with participation from Creator Fund, MMC Ventures, Moonfire Ventures, Rockmount Capital, and prominent angel investors.Founded as a spinout from University College London (UCL), Stanhope AI boasts a formidable team comprising esteemed figures in neuroscience and AI research. Led by CEO Professor Rosalyn Moran, former Deputy Director of King’s Institute for Artificial Intelligence, the team also includes Director Karl Friston, Professor at the UCL Queen Square Institute of Neurology, and Technical Advisor Dr. Biswa Sengupta, MD of AI and Cloud products at JP Morgan Chase.
Stanhope AI's groundbreaking approach revolves around the fusion of neuroscience principles with AI and mathematics, positioning it at the forefront of the emerging 'agentic' AI technology. By leveraging Active Inference, a neuroscience principle, the company's algorithms emulate the human brain's ability to continually predict and adapt to real-world scenarios, autonomously updating their internal models based on incoming data. This departure from traditional machine learning methods allows for truly autonomous decision-making and holds the promise of more human-like reasoning in AI systems.
At the heart of Stanhope AI's innovation lies Active Inference, a neuroscience principle elucidated by Director Karl Friston. This principle, which centers on minimizing surprise and uncertainty in cognitive processes, forms the basis for the company's pioneering AI technology. Unlike conventional machine learning models, Stanhope AI's Active Inference models possess the capacity for continuous adaptation and refinement of predictions, offering a paradigm shift in AI's capabilities.
The real-world applications of Stanhope AI's technology extend beyond theoretical concepts. Currently undergoing testing with delivery drones and autonomous machines, the technology holds immense promise in sectors such as manufacturing, industrial robotics, and embodied AI. With the seed funding, Stanhope AI aims to further develop its agentic AI models and accelerate the practical implementation of its research, ushering in a new era of AI systems capable of human-like thinking and decision-making.