About Us
Based in the heart of London, we are a deep-tech startup with a strong background in neuroscience and robotics.
We are bringing Active Inference to market as a novel framework for autonomous decision-making. To contend with the challenges of contemporary AIs, our distinct approach aims to offer true intelligence with critical human explainability and reliability.
Founded in 2021, our team of engineers and scientists lead responsible development programs that build on academic partnerships within the UK.
Our Mission
Stanhope AI aims to alter the course of AI design by proffering Active Inference models to engineering systems – plugging our model of the brain into a machine. We believe the fastest way to market adoption is by visualising the generalisability, power efficiency and robustness of our technological solution in autonomous systems.
About the Founders
Prof. Rosalyn Moran
CEO
Professor Moran is a professor of Computational Neuroscience with a focus on developing the application of The Free Energy Principle to Artificial Intelligence.
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Professor Rosalyn Moran is a professor of Computational Neuroscience.
She was the deputy director of King’s Institute for Artificial Intelligence and deputy head of the Department of Neuroimaging at King’s College London, where her group led the development of the Free Energy Principle for application to artificial intelligence.
She has also held faculty positions in Engineering Mathematics, Electrical & Computer Engineering and Neurobiology at the University of Bristol and Virginia Tech.
After 20 years of research, Rosalyn founded Stanhope AI as a vehicle to apply her findings to real-world situations and contribute towards improvements and innovations in AI adaptability, functionality and efficiency.
Prof. Karl Friston
Scientific Adviser
Professor Friston is a professor of Theoretical Neurobiology at the Institute of Neurology at University College London.
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Professor Friston is a professor of Theoretical Neurobiology at the Institute of Neurology at University College London, where he works on models of functional integration in the human brain and the principles that underlie neuronal interactions.
His main contribution to theoretical neurobiology is a free-energy principle for action and perception (Active Inference).
He invented statistical parametric mapping (SPM), Dynamic Causal Modeling (DCM), and voxel-based morphometry (VBM).
Work with Us
If you would like to collaborate on a project or if you are interested in our career opportunities, please get in touch or visit our careers page by clicking below.