Monolith
Test less. Learn more.
Spend less time running expensive, repetitive tests and more time learning from your engineering data to predict the exact tests to run.
Our Software
No-code AI software built for engineers
Monolith Software is built for engineers. No coding or Ph.D. in statistics is required - just your engineering expertise and test data.

Trusted by top engineering teams to cut product development time.
The world's top engineering teams use Monolith AI to develop better quality products faster
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Build accurate self-learning models.
Use your engineering data to create accurate self-learning models to quickly understand and instantly predict the performance of complex physics & explore more operating conditions.

Named by Gartner a Cool Vendor in AI for automotive.
“Companies such as Monolith AI…apply AI to improve vehicle development, quality control, and inspection, ensuring lower costs and higher levels of safety and quality.”
Discover our top data-driven use cases for Aerospace & Defense, Automotive, and Industrial customers
Monolith supports a diverse range of engineering teams and scenarios. If you work with data or make data-led decisions, our software can help you do more with less.
Vehicle Dynamics
Use Monolith’s intelligent exploration tools to sort and visualise track test data, inform your engineers, and train ML models on manoeuvres to predict the forces on the vehicle during other manoeuvres that were not performed, saving testing time.


Smart Meters
Monolith instantly determines what smart meter designs give the best performance, while self-learning models learn from new data generated along the way, indicating which designs are most promising to investigate next.
Wind Tunnel Testing
Build 3D AI models that directly predict wind tunnel performance from the CAD design – faster and more accurately than Computational Fluid Dynamics (CFD) simulation alone.

Featured industries
Automotive
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.
Industrial
Monolith AI empowers engineering domain experts in industrial markets to reduce expensive, time-intensive testing, lower risks to product performance and quality, and cut product development time.
Aerospace & Defense
Monolith founder Dr. Richard Ahlfeld received his PhD in Aerospace Engineering from Imperial College and was named in MIT Technology Review’s Top 10 Innovators under 35. He strives to support aerospace engineers in solving their most intractable physics problems.
Get Started
Get Started With Monolith, Your Trusted AI partner
Learn how to begin AI adoption in your organization and understand the technical requirements for the applicability of AI to your organization.
Find out how Monolith supports its customers, and how you can be sure you will succeed with AI to deliver better quality products in half the time.

News
Monolith AI Software Accelerates Development of World-Class Vehicles
Learn how BMW Group engineers are using our pioneering AI technology to solve previously impossible physics challenges from aerodynamics to crash tests.
Case Study
Jota Sport Cuts Car Setup Time by 50% With Monolith AI
Since teaming up with Monolith AI, Jota engineers can better understand and predict the aerodynamics of their cars by building self-learning models. As a result, they have reduced the number of simulations and tests by 50%, cut car time-to-setup in half, and achieved a 66% reduction in overall costs.