AI for Track Dynamics | Monolith

Presented by

Jousef Murad

About this talk

Using Monolith, customers such as Jota Sport are overcoming the tedious, time-intensive, and repetitive engineering approach that they previously utilised during testing. Rather than trying to hard-code all of the equations and making sure to embed all the physics of a given system, Jota instead feeds the self-learning model using real-world test data to learn from real-world performance, which can be taken from track or wind tunnel testing. Using self-learning models is the best way to infer the physics, quickly understand, and instantly predict what design parameters are affecting vehicle performance.
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Monolith software is trusted by the world’s top engineering teams including Rolls Royce, Siemens, Honeywell, and BMW to develop better quality products in half the time. Backed by one of world’s largest software investors and recognized by Gartner as a Cool Vendor for AI in Automotive, Monolith AI empowers engineering domain experts in automotive, aerospace and industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time. Featured in Forbes magazine and named one of the UK’s top 100 startups, Monolith AI founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators under 35. Monolith AI is headquartered in London with global enterprise clients worldwide.