Monolith

With Monolith's AI Software, test less and learn more.

Spend less time running expensive, repetitive tests and more time learning from your engineering data to predict the exact tests to run.

BMW
BAE Systems
Mercedes
Honda
Siemens
Honeywell
Kautex-Textron
Michelin
Aptar
Jota
Our AI Software

No-code AI software built for engineers

Monolith Software is a machine learning AI platform built by engineers, for engineers. No coding or Ph.D. in statistics is required - just your engineering expertise and test data. ​​

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Trusted by top engineering teams to cut product development time.

The world's top engineering teams use Monolith AI Software to develop better quality products faster with machine learning models.

Build accurate self-learning & machine 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 through our machine-learning platform.​

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Named by Gartner as a Cool Vendor in AI for automotive.

“Companies such as Monolith…apply their AI Software to improve vehicle development, quality control, and inspection, ensuring lower costs and higher levels of safety and quality.”​

Discover our top data-driven business applications and engineering use cases for Aerospace & Defense, Automotive, and Industrial customers.

 

Monolith supports a diverse range of industries, engineering teams, and business requirements. If you work with any type of data; from data science, to data entry, data preparation, data management, or make data-led decisions—our AI software can help you do more with less.

Vehicle Dynamics 

Use Monolith’s intelligent exploration artificial intelligence tools to sort and visualise track test data, inform your engineers, and train machine learning models on manoeuvres to predict the forces on the vehicle during other manoeuvres that were not performed—saving testing time on complex tasks.

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Smart Meters

Monolith's AI software 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 through machine learning.

Wind Tunnel Testing

Build 3D artificial intelligence (AI) models that directly predict wind tunnel performance from a CAD design – faster and more accurately than Computational Fluid Dynamics (CFD) simulation alone.

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Honeywell
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Monolith allowed us to understand and optimize the gas meter's behaviour for all operating conditions and optimize meter accuracy under extreme conditions, allowing us to build a superior, more accurate product in a much shorter amount of time.

- Bas Kastelein, Sr. Director Product Innovation, Honeywell Process Solutions

Michelin
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Monolith Team understood what it means to work with genuine engineering problems in artificial intelligence: the needed flexibility and knowledge.

- Joachim GUILIE, Curing performance expert at Michelin

Thales
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The Monolith engineering team are unique experts in the field of solving scientific problems with machine learning. I trust them to guide our team to get the greatest ROI from AI and magnify our engineering talent and expertise.

- Dr. Paul Gosling, Chief Technology Officer, Thales UK

Some CoKautex-Textronmpany
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With Monolith’s machine learning method, we not only solved the challenge, we also reduced design iteration times and prototyping and testing costs. We are thrilled with the results, and we are confident we have found a way to improve future design solutions.

- "Dr. Bernhardt Lüddecke, Director Validation Global Kautex-Textron

Featured industries

Automotive
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 with artificial intelligence software and pre-trained models.

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Industrial

Monolith's artificial intelligence software 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—ultimately speeding up business processes and time-to-market.

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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. With a keen focus, Monolith strives to save time for and support aerospace engineers in solving their most intractable physics problems through our state-of-the-art artificial intelligence software.

Get Started

Get Started With Monolith, Your Trusted AI Software Partner

Learn how to begin AI adoption in your organization and understand the technical requirements for the applicability of artificial intelligence software to your organization.

Find out how Monolith supports its customers, and how you can be sure you will succeed with artificial intelligence (AI) to deliver better quality products in half the time.​

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News

Monolith AI Software Accelerates Development of World-Class Vehicles With Data-Driven Modelling

Learn how BMW Group engineers are using our pioneering artificial intelligence software and automation tools 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 Software

Since teaming up with Monolith's artificial intelligence software, 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. 

News Center

Find out how we empower engineers to use AI Software

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