User-friendly AI tool with a notebook interface, designed specifically for domain experts.
Your lab, working at full intelligence
Monolith builds the interface between artificial (super) intelligence and engineering test labs.
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Why Monolith?
Our purpose-built AI solutions can transform your engineering workflow.
Built for engineers
Unique AI algorithms built specifically for engineering applications.
Enterprise SaaS
A scalable cloud platform for large data, high-performance computing, and collaboration.
Expert AI consulting
An experienced partner to guide AI adoption, instill best practices, and ensure success.


“Transforming how the world moves requires constant innovation. Collaborating with Monolith allows us to harness cutting-edge AI technology to streamline our testing processes, enabling us to focus on the most impactful areas and accelerate the VX4’s journey to market. By integrating Monolith’s tools, we can enhance our engineering precision, reduce timelines, and continue setting the benchmark for the eVTOL industry.”
- David King, Chief Engineer, Vertical Aerospace

“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


“As global automotive companies move towards a stronger focus on virtual development, partnerships which enhance our physical and virtual engineering capability are key to supporting customers with the robust tools they need.”
- Guy Foulger, Engineering & Technology Director, HORIBA MIRA


“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


“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


“It's no secret that AI is the new frontier and finding new ways to apply it to enhance performance will be the key to motorsports success in the future. Having Monolith by our side is invaluable. They already have incredible expertise and know-how. With research and the real-world racing experience and expertise that we can provide, the potential is incredibly high.”
- Guillaume Capietto, Technical Director, PREMA Racing
How it Works
See what self-learning models trained from your test data can do for you.

Optimise test plans
Use Monolith's advanced algorithms to model performance and create efficient test plans with maximum coverage.
Automate data inspection
Monolith's AI anomaly detector automatically inspects and flags errors across hundreds of test data channels.
Find root causes faster
Monolith AI models help you quickly find error root causes and verify performance targets efficiently under any condition.
Calibrate complex systems
Combine test data and AI models to quickly optimize system performance across conditions and set coefficients with confidence.
Powering critical industries with ai-driven design and testing.
Test Data Validation Feature- Anomaly Detector
Industry-proven Anomaly Detector finds more than 90% of errors faster.
- Proprietary algorithm refined with customer test applications and data.
- Find multiple error types across hundreds of channels in seconds.
- Validated on sample data to find more than 90% of known errors.

Test Plan Optimisation Feature - Next Test Recommender
Reduce test plans by up to 70%.
- Run the most important tests and skip the rest.
- Proprietary tool applies thousands of recommender algorithms to model your design space.
- Optimised and refined over multiple years on real customer test plans.
Reduce time-to-market without risking product safety or brand reputation. Three underlying challenges hold you back:
Test plans are inefficient
With 50–5000 channels, physical testing can take months and millions. An efficient test plan is crucial to avoid delays and under-testing.

Battery-Focused
Build your high-throughput battery lab with Monolith.
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