Accelerate product validation

Artificial intelligence for test labs

Cut testing time in half. Let our AI platform guide your process.

BMW
BAE Systems
Mercedes
Honda
Siemens
Kautex-Textron
Michelin
Aptar
Jota


You need to speed up time-to-market without risking product safety or brand reputation. Yet, you face three underlying challenges:
 

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Test plans are inefficient

With 50 to 5000 channels, engineers can quickly spend millions and months or longer on physical testing. A more efficient test plan without under-testing is critical.   

Design a better test plan 
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Test data has undetected errors

Test systems generate terabytes of sensor data weekly. Unfortunately, measurement errors from sensor failures or configuration mistakes result in costly retesting and schedule delays. 

Trust your test data
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Failures are costly

Late-stage product validation failures put brand reputation and budgets at risk. Detecting and understanding the root cause of failures is critical for fast reaction time and quick fixes. 

Understand system failure
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There are many potential use cases for AI to speed up the battery test and validation process. After an extensive evaluation, we found Monolith to be an excellent option for scaling AI across our R&D.

-Markus Meiler, VP Research & Development, Webasto

See what self-learning models trained from your test data can do for you

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Optimise test plans

Use Monolith advanced test plan optimisation algorithms to model product performance and develop efficient test plans with maximum coverage. 

Watch the webinar
Automate data inspection

The AI anomaly detector algorithm in Monolith allows you to automatically inspect and flag errors across hundreds of channels of test data. 

Learn about Anomaly Scoring
Find root causes faster

Monolith AI models allow you to find the root cause of errors faster, and verify your performance targets more efficiently under any condition.

Find system failures faster
Calibrate complex systems

Combine test data and AI models to quickly optimise system performance across hundreds of conditions and set coefficients with confidence. 

Calibrate complex systems
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Engineering leaders say it is imperative to get to market faster with revolutionary new EV batteries. Yet, they can’t rely on their current methods of physical testing and simulation.

With Monolith tools, we found faulty assumptions, unnecessary tests conditions, and errors in our data. We discovered a completely new testing approach with AI.

-Peter, Director of Battery Validation, Major European OEM

Our purpose-built AI solutions can transform your engineering workflow

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No-code AI

Intuitive, no-code AI-modelling tool and notebook interface built for domain experts.

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Built for engineers

Unique AI algorithms designed specifically for engineering applications.

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Enterprise SaaS

A cloud platform scalable for large data sets, high-performance computing and collaboration.

AI at scale
Expert AI consulting

An experienced partner to guide your AI adoption, instill best practices, and ensure success.

Introducing Success360

Before Monolith, we couldn't keep up with the terabytes of battery test data generated. Now we can find subtle errors in seconds and no longer waste months on hidden test failures.

-James, Head of Validation, Cell Manufacturer

Monolith blog

Find out how we empower engineers to use AI

Ready to get started with Monolith AI software?