Mind Foundry

AI for high-stakes applications

Mind Foundry logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Deep Tech
  • Machine Learning
Summertown, Oxford, UK

Company mission

To create a future where humans and AI work together to solve the world's most important problems.

40% female employees

Our take

When risk and complexity are high, organisations turn to Mind Foundry to deliver responsible AI solutions that operate reliably in demanding environments.

Mind Foundry works with customers and partners across a range of operational domains to deliver targeted impact in challenging environments through deployed AI systems in the Defence & National Security space.

The company is certified against recognised industry standards, with a focus on security, cyber protection and supplier assurance.

It was also founded by AI and machine learning researchers, including University of Oxford professors Stephen Roberts and Michael Osborne. Their academic work spans areas such as signal processing, Bayesian inference, Bayesian optimisation and probabilistic numerics

Today, the mathematical and algorithmic foundations behind Mind Foundry's technology spans applications in sensor systems, information fusion, and decision-support under uncertainty.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • Flexible hours
  • Professional & personal development
  • Private healthcare (including dental and optical cover)
  • Group life cover
  • Private Pension
  • Cycle to work scheme (if office based)
  • 25 days holiday (plus bank holidays)

Funding (last 2 of 10 rounds)

Feb 2023

$24.3m

SERIES B

Apr 2022

$0.3m

GRANT

Total funding: $61.6m

Leadership

Lindsay Chadwick

(Cheif Executive Officer)

Lindsay has spent her career supporting fast-growth, early-stage companies. A lawyer by background, she is committed to the responsible and ethical development of high-risk technologies.

Al Bowman

(Chief Commercial Officer)

Al is an experienced leader, with over 30 years of experience in both machine learning and military operations during his 23 years in the British Army.