Monolith, an artificial intelligence software provider, and CamMotive, a UK-based e-powertrain development and testing services company, have partnered to accelerate and improve the accuracy of electric vehicle battery testing. By combining Monolith’s AI platform with CamMotive’s extensive real-world battery data, the collaboration aims to enhance test data validation and enable more efficient, insightful, and scalable testing workflows.
At the core of the partnership is a hybrid modeling technique for anomaly detection. This approach integrates physics-based simulations with machine learning algorithms to identify failure behaviors that traditional rule-based systems might overlook. CamMotive will supply operational test data from its purpose-built facilities, allowing Monolith’s models to be evaluated and refined under real-world conditions.
Dr. Richard Ahlfeld, CEO and Founder of Monolith, said: “Our partnership with CamMotive has the potential to make EV battery development faster and more efficient. Training machine learning models with robust, real-world data is what makes AI truly effective, as it means engineers can find reliable ways to save time, achieve performance gains and reduce costs.”
Bruce Campbell, Director of CamMotive, said: “Partnering with Monolith gives CamMotive the ability to significantly improve our battery testing process. Monolith’s AI technology allows us to use our state-of-the-art test facility more efficiently while generating higher-quality results. The insights we gain through this collaboration will help us detect potential issues earlier, streamline workflows, and enable our engineers to focus on delivering valuable data analysis for our customers.”.
The partnership also explores integrating Monolith’s advanced AI toolkit to reduce reliance on physical testing. Features such as the Next Test Recommender and the AI-powered Anomaly Detector are designed to support earlier fault detection and smarter test review, cutting down the product development cycle and minimizing costly prototype tests.
Monolith’s broader mission is to democratize AI for engineering teams by providing domain experts with tools to model complex physics from test data. By 2026, the company aims to halve engineers’ development cycles. CamMotive, drawing on three decades of expertise from its parent company Cambustion, offers a range of testing capabilities—from batteries and electric motors to full vehicle performance testing—through its Cambridge, UK, facilities.
Source: Monolith Press Release
