With 50 to 5000 channels, you can quickly spend millions and months or longer on physical testing. You need an efficient test plan but under-testing is risky.
Artificial intelligence for test labs
Cut testing time in half. Let our AI platform guide your process.
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You need to speed time-to-market without risking product safety or brand reputation. Yet, you face three underlying challenges:
Our purpose-built AI solutions can transform your engineering workflow
No-Code AI
Intuitive, no-code AI-modeling tool and notebook interface built for domain experts.
Built For Engineers
Unique AI algorithms designed specifically for engineering applications.
Enterprise SaaS
A cloud platform scalable for large data sets, high-performance computing, and collaboration.
Expert AI Consulting
An experienced partner to guide your AI adoption, instill best practices, and ensure success.
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.
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See what self-learning models trained from your test data in Monolith can do for you
Optimise Test Plans
Use Monolith advanced test plan optimisation algorithms to model product performance and develop efficient test plans with maximum coverage.
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.
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.
Calibrate Complex Systems
Combine test data and AI models to quickly optimise system performance across hundredsof conditions & set coefficients with confidence.