
Monolith is trusted by the world’s top engineering teams to build self-learning models that empower your engineers to do less testing, more learning, and develop better quality products in half the time. Our end-to-end cloud platform enables any engineer to use their test data and expertise to solve intractable physics problems. It's designed by engineers, for engineers. Quickly design AI pipelines and train models without advanced programming or data science experience. Understand how your design works and which parameters are most influential on performance. Use AI self-learning models to make predictions of how your design performs under different conditions. Find optimal values for key design parameters to meet performance targets and regulatory requirements. Monolith was founded in 2016 by Dr. Richard Ahlfeld, born from his PhD at Imperial College London and NASA. Boosted by joining the FoundersFactory 6-month Accelerator Programme in January 2018, he built a diverse team of engineers, data scientists, and software developers to achieve his company vision. Monolith was named a Gartner Cool Vendor for AI in Automotive.

Monolith is trusted by the world’s top engineering teams to build self-learning models that empower your engineers to do less testing, more learning, and develop better quality products in half the time. Our end-to-end cloud platform enables any engineer to use their test data and expertise to solve intractable physics problems. It's designed by engineers, for engineers. Quickly design AI pipelines and train models without advanced programming or data science experience. Understand how your design works and which parameters are most influential on performance. Use AI self-learning models to make predictions of how your design performs under different conditions. Find optimal values for key design parameters to meet performance targets and regulatory requirements. Monolith was founded in 2016 by Dr. Richard Ahlfeld, born from his PhD at Imperial College London and NASA. Boosted by joining the FoundersFactory 6-month Accelerator Programme in January 2018, he built a diverse team of engineers, data scientists, and software developers to achieve his company vision. Monolith was named a Gartner Cool Vendor for AI in Automotive.
What they do: AI SaaS platform that uses test and simulation data to accelerate engineering product development
Headquarters: London, UK
Founded: 2016
Founder / CEO: Dr. Richard Ahlfeld
Notable customers: BMW Group, Siemens, Vertical Aerospace, Webasto
Series A announced Aug 23, 2021 (reported £8.5M; total reported £10.6M); lead investor Insight Partners
| Company |
|---|
Engineering product development — reducing test-programme time and cost, improving test data quality, and predicting performance from simulations/tests.
2016
Software / AI for Engineering
£8.5M (reported)
Round reported to bring total raised to £10.6M; other participants named include Pentech, TouchStone Capital Group, Alejandro Agag, Apex Black, and Stanford Angels of the UK.
“Backers include Insight Partners (lead in Series A), Pentech, TouchStone Capital Group, IP Group, and other angel/investor participants”
About Monolith AI London, United Kingdom
Monolith AI is on a mission to empower engineers with AI that solves the toughest scientific and engineering challenges — from next-generation battery design to transformational industrial workflows. We’re a small, high-impact team that values curiosity, creativity and collaboration as we build world-class AI-enabled platforms.
We are looking for an experienced Senior Tech Recruiter (Talent Partner) to join our People team and own technical hiring across engineering and product functions as we scale.
What We’re Looking For We’re looking for someone who:
What Success Looks Like In This Role You will be recognised for:
Why you’ll love working here At Monolith AI you’ll join a mission-driven team that values curiosity, authenticity and collaboration. You’ll have the opportunity to shape how we hire technical talent at a pivotal stage of growth, influence people strategy, and help build an organisation that enables world-class engineering and scientific work.
We offer a hybrid working model in London, competitive compensation, equity and generous benefits that support wellbeing and growth.
If you’re excited by technical hiring and want to make a tangible impact on a fast-growing AI company, we’d love to hear from you.