AI Models Tailored for Engineering 

AI tools designed for engineering. 

 

 

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

 The AI models and tools in Monolith are developed and enhanced through collaboration with top engineering teams on hundreds of AI projects – to complement your team’s engineering expertise and accelerate critical projects

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. 

“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.” ​

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

Next Test Recommender 
Optimise Your Test Plan 

 

Using a unique ensemble of algorithms applied in hundreds of combinations to your design, Monolith's Next Test Recommender analyses your test data to find the most critical values to run next and achieve your test coverage goals in less time and fewer steps.  

Learn more > 

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 Anomaly Detection 
Find Data Errors Faster

 

Use Monolith’s Anomaly Detector to automatically inspect hundreds of channels to find potential sensor or system errors quickly.  Save time by automating repetitive tasks, find errors more reliably, and avoid costly and time-consuming re-testing.

Learn more > 

 Time-Series Model 
Tuned for Measurement Data 

 

Monolith includes data transformation tools to resample and extract features from time-dependent data, such as sensor measurements.  With the time-series model, you can stop long-running tests early based on forecasting the outcomes.  

Learn more > 

Blog - Al Models in Monolith_ Deep Learning-based Time Series Model
How it Works 

Learn how Monolith works with your data

 

  • Import data from files or databases 
  • Explore your data with analytics and visualization tools 
  • Transform your data for optimal AI modelling 
  • Model your designs using powerful AI algorithms 
  • Evaluate different modelling options for best performance and accuracy 

Other Platform Features

Product Overview
No-Code AI for Engineering
Scalable SaaS Platform 
AI Consulting and Implementation Services

Ready to get started?

BAE Systems
Jota
Aptar
Mercedes
Honda
Siemens