German testing and certification firm Dekra has entered into a strategic partnership with Sphere Energy, a company specialising in artificial intelligence for battery development. As part of the collaboration, Dekra will acquire a stake in Sphere, though the size of the investment has not been disclosed.
The partnership aims to create an end-to-end battery validation ecosystem, combining AI-based simulations from Sphere with Dekra’s global testing and certification expertise. The companies will collaborate to support clients across the full battery development cycle — from early cell research to validation of complete battery systems used in vehicles and energy storage. Sphere’s Battery Technology Centre in Grossaitingen, Germany, will work alongside Dekra’s testing sites in Arnhem (Netherlands), Guangzhou (China), Plymouth (USA), and its new Large Battery Test Centre at Lausitzring (Germany).
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“With this partnership, Sphere Energy and Dekra are setting new standards in battery validation and in-use monitoring, making both development and application safer,” said Christoph Nolte, Executive Vice President of Dekra’s Service Division Vehicles. The two firms plan to integrate AI-based State of Health (SoH) monitoring for commercial vehicles, enabling real-time performance tracking, optimised lifecycle costs, and improved safety.
Lukas Lutz, co-founder of Sphere Energy, said the collaboration will accelerate the commercialisation of advanced battery technologies. “Our mission is to simulate products from the earliest stages, gaining insights into their final performance before they are physically built,” Lutz said. “This accelerates the path to market for battery-powered products and establishes a new pillar of innovation for Europe’s industries.”
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Founded in 2017, Sphere Energy has developed AI-driven software platforms that model battery performance and lifespan, helping manufacturers shorten validation cycles and make smarter design decisions. Through this new alliance, both companies intend to combine data-driven simulation and physical testing into a hybrid validation approach — one designed to bridge traditional methods with the growing demands of modern, predictive battery development.