Improve product designs, optimise test plans, and resolve product issues faster with AI self-learning models tailored for engineering and test applications.
Monolith unlocks your test data to accelerate product design and validation. Refined from hundreds of AI projects with industry-leading engineering teams, we empower engineers to train machine-learning models to find hidden errors in your data, streamline test plans, find root causes of failures, and build better products - faster.
A world-leading vehicle producer trusted Monolith to analyse 500+ battery cells undergoing 18-month aging tests. Our models identified half a million USD in testing waste that could be eliminated without compromising battery selection accuracy.
-Major European OEM
Purpose-built algorithms
Proven engineering tools
Take advantage of purpose-built tools for engineering and test-specific applications. Refined from hundreds of AI projects with leading engineering teams, Monolith algorithms are tuned to handle the real-world challenges of engineering test data.
When a global vehicle producer needed to optimize their B-sample battery aging tests, Monolith's machine learning validated the engineers' intuition with hard data—giving management the confidence to cut half a million USD in low-impact test points. These were the options we chose.
_4_w_66.png?width=66&height=66&name=BMW_logo_(gray)_4_w_66.png){kind=logo}
.png "Dashboards v1-5")
-1.png "Learning suite full screenshot v4-4")
