Building and assuring human-machine teaming in the most challenging environments.
Designed for deployment.
Mind Foundry empowers organisations with AI built to tackle high-stakes, real-world problems. When risk and complexity are high, organisations rely on us to deliver responsible AI solutions that truly perform.
Born at the University of Oxford, built on scientific principle and real-world experience.
Mind Foundry was founded by pioneers in the field of AI and Machine Learning, Oxford Professors Stephen Roberts and Michael Osborne. Their contributions in areas such as signal processing, Bayesian inference, Bayesian optimisation, and probabilistic numerics have gone as far as defining the field itself.
Today, Mind Foundry is a relentless team of visionaries. We come from all walks of life and are unified by a passion to be responsible makers of AI as it shapes our world for decades to come.
Founded on three decades of groundbreaking research.
UK company with headquarters in Oxford.
Change-makers, innovators, engineers, designers, and scientists.
Creating a future where humans and AI work together to solve the world’s most important problems.
Mind Foundry was created to increase access to AI that can radically transform our world for good. The Mind Foundry Platform facilitates designing, testing, and deploying responsible AI solutions.
Mind Foundry AI is built on Three Pillarswhich manifest as technologies, powering everything we do.
First Principles Transparency
Our models are scientifically principled and trustworthy. They assess and relay their certainty while providing a fundamental understanding of how a system works and how decisions are made.
Human - AI Collaboration
Our solutions leverage and orchestrate the unique strengths of human and machine intelligence so we can work together intuitively and collaboratively. Together, we achieve more than we ever could alone.
Continuous Metalearning
Our AI has the agency to optimise its own learning process and adapt to changes in the real world. It offers protection from the risks associated with misaligned AI, and gets better over time.
