
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
Recent funding signal: Series A announced Aug 23, 2021 (reported £8.5M; total reported £10.6M); lead investor Insight Partners
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”
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Are you passionate about revolutionising engineering with AI? Here at Monolith AI we’re on a mission to empower engineers to use AI to solve even their most intractable physics problems. For example, developing next-gen EV batteries that charge faster and last longer. We experienced serious growth over the past year, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth we are recruiting a Head of Forward-Deployed Engineering & Data Science.
You’ll build and lead a world‑class Forward‑Deployed team (Forward‑Deployed Engineers and Forward‑Deployed Data Scientists) that ensures every customer realises full value from Monolith. You’ll help and coach the team that translate ideas into production applications, ensuring every customer engagement is a success story. Your role is critical in driving AI adoption in some of the world largest engineering companies, whom we’re lucky to call clients.
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