Value proposition

Using machine learning to solve real engineering problems.

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.

Artificial Intelligence, Aerospace Engineering, Automotive Engineering, Mechanical Engineering, deep learning, testing, batterytesting, battery, Test Plan Optimisation, EV battery, battery reliability, battery safety, product validation, EV design, Engineering Testing, Engineering Validation, and Engineering AI