AI is moving fast. So are the risks.

Interpolate Labs is an AI error detection company founded by two PhD researchers with a shared mission: to help organisations deploy AI systems they can trust.

With deep backgrounds in machine learning, security, and responsible AI, our founders bring academic rigor and real-world urgency to the challenge of making AI reliable, more transparent, and more accountable. Our approach combines cutting-edge research with practical, production-ready solutions designed for teams who care about both performance and integrity.

We believe that AI should empower your business, not endanger it. That’s why we build tools that help teams monitor, understand, and control their models before problems occur. Whether you are scaling a machine learning platform or launching your first model into production, Interpolate gives you the visibility and confidence to do it responsibly.

Our Philosophy

From theory to practice, protecting your AI at scale.

Error detection is not just a nice-to-have. Protect your company from AI errors today.

Speed. We move quickly to ensure that your company is protected without compromising on quality or efficiency. Our tooling provides reliability gaurentees in real time so that confidence is your advantage and not your bottleneck.
Rigour. Our team knows that reliability is not an afterthought. We appraoch decision certainty with uncompromising precision to protect every user your company serves.
Transparency. We are committed to demystifying complex systems to help guide the technologies shaping your company's future. Putting reliability at the heart of progress, letting you control your AI's behavior at scale.

About the team

We are two brothers that are dedicated to reducing errors in enterprise AI. With a combined 7+ years of experience as theory of deep learning researchers we are now turning theory into practice to help protect your AI-powered systems.

  • Israel Mason-Williams

    Co-Founder / Chief Executive Officer (CEO)

    PhD Student in Safe and Trusted AI. M.Phil from The University of Cambridge.

  • Gabryel Mason-Williams

    Co-Founder / Chief Scientific Officer (CSO)

    PhD Student in Theory of Deep Learning, Google 2023 Acedemic Scholar with published papers at NeurIPS, ICLR and ICML.

The founding team have presented research at top conferences:

ICLRICMLNeurIPSErlangenOSCICLRICMLNeurIPSErlangenOSCICLRICMLNeurIPSErlangenOSCICLRICMLNeurIPSErlangenOSC

Our founding team have previously been affiliated with the following world class companies, universities and research labs.

Google
Cambridge
Imperial
European Bioinformatics Institute
ConceptionX
Queen Mary University of London
BlueDot Impact
Kings College London
RFI
50y
Diamond Light Source
Talos Network