Monolith, CamMotive Partner to Advance AI Battery Testing

The London-based Monolith, an artificial intelligence (AI) software provider for engineering teams, has partnered with UK-based e-powertrain development and testing services provider CamMotive to enhance electric vehicle battery testing through applied AI. The collaboration combines Monolith’s AI platformwith CamMotive’s real-world battery data to improve test data validation and help engineers detect complex failure behaviours during battery development.

The partnership implements a hybrid modelling technique for anomaly detection that combines physics-based simulations and machine learning methods to identify issues that traditional rule-based systems may miss. Building on Monolith’s successful deployments in laboratory environments, CamMotive is providing operational test data to evaluate how these models perform across real-world scenarios.

“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.” said Dr. Richard Ahlfeld, CEO and Founder of Monolith.

“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.”. said Bruce Campbell, Director of CamMotive.

Driving efficiencies in battery testing represents the core objective of Monolith and CamMotive’s collaboration. CamMotive is exploring the integration of an advanced AI toolkit to reduce reliance on physical testing and streamline workflows, using the Monolith platform to support earlier fault detection and smarter testing reviews. Simultaneously, the depth and detail of CamMotive’s battery dataset will serve to further enhance Monolith’s battery-model performance.

Monolith is democratising AI for engineering, with the objective of cutting engineers’ product development cycles in half by 2026. Its platform enables domain experts to leverage existing, valuable testing datasets to generate accurate, reliable predictions. This allows engineering teams to reduce costly, time-intensive prototype testing programmes.

Integrating innovations such as the Next Test Recommender tool and the AI-powered Anomaly Detector functionality, Monolith provides engineers with intelligent solutions to develop higher-quality products in half the time.

About Monolith

Monolith’s mission is to put powerful AI tools in the hands of engineers, enabling them to model complex, intractable physics from test data without requiring data-science expertise. The company has secured funding from one of the world’s largest software investors and was named a Gartner Cool Vendor for AI in Automotive. Monolith has also earned recognition from Forbes and in the UK’s Top 100 Startups list. CEO and Founder Dr. Richard Ahlfeld holds a PhD in Aerospace Engineering from Imperial College and was named to MIT Technology Review’s Top 10 Innovators Under 35. To learn more about Monolith’s battery testing capabilities, please click here.

About CamMotive

CamMotive, based in Cambridge, UK, specialises in advanced engineering services for electric powertrain development. Drawing on more than three decades of expertise from its parent company, Cambustion, CamMotive operates purpose-built facilities for electric powertrain testing. Its capabilities include battery systems, hydrogen fuel cells, electric motors, inverters, and power electronics, as well as full vehicle performance testing and calibration. For more information, please click here.

Source/Photo Credit: Monolith

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