Monolith AI raises £8.5m in Series A funding led by Insight Partners for international expansion and product development.
Insight Partners led the £8.5m Series A round to support growth and technological advancement at Monolith AI.
Monolith AI provides artificial intelligence engineering software that allows design and engineering teams to optimise product development. The company enables clients to utilise test and simulation data to predict design performance.
Monolith AI has secured £8.5m in Series A funding to expand its international client base and advance its machine learning technology. The round was led by Insight Partners, with participation from existing backers Pentech and Touchstone. Additional investors include Alejandro Agag, Apex Black, and the Stanford Angels of the UK.
The company develops artificial intelligence engineering software designed to help manufacturing and engineering organisations accelerate product development. Clients utilising the platform include major industrial firms such as BMW, Honda, Siemens, and BAE Systems.
Insight Partners managing director Josh Fredberg will join the board following the investment. The capital will support the firm as it scales operations and continues the development of its 3D machine learning tools.
From the founder
"Deriving insight from data for decision-making is a complex but necessary challenge for engineering organisations. Engineers understand the data, they are embedded in the business and have the intuitions necessary to know why to process and model data. Democratising Al, by empowering engineers to be self- sufficient in building and deploying Al solutions, helps engineering organisations drive digital transformation more efficiently than other currently available solutions."
Richard Ahlfeld
CEO and founder at Monolith AI
Use of funds
- 01Expand into international markets
- 02Continue product development
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About the company
Monolith AI
Monolith AI builds artificial intelligence software that helps engineers optimise product development workflows.