INNER provides machine‑learning X‑ray/CT diagnostics for EV battery packs, scanning assembled modules at ~50‑micron precision to detect cracks, leaks, torn wires, and swelling. Fast, non‑destructive reports support production QA, warranty decisions, second‑life screening, and recycling.
INNER is a Dutch deep‑tech startup headquartered in Eindhoven, Netherlands. The company develops non‑invasive diagnostics for electric vehicle (EV) batteries using high‑resolution X‑ray computed tomography combined with machine‑learning analysis. INNER scans assembled battery packs at approximately 50‑micron spatial resolution to detect internal faults across manufacturing, in‑service, repurposing, and recycling stages. The mission is to close diagnostic blind spots in EV battery inspection to improve safety, reliability, and resource efficiency throughout the battery lifecycle. INNER delivers modular scanner hardware and automated reporting for production lines, test labs, and second‑life workflows.
INNER’s core platform pairs a proprietary computed tomography (CT) scanner with automated machine‑learning image analysis to inspect full, assembled EV battery packs without disassembly. The system produces 3D imagery at roughly 50‑micron precision to identify torn wires, cell cracks, leak paths, swelling, and module‑level assembly faults. It penetrates sealed metal enclosures non‑destructively and generates operator‑ready diagnostic reports in minutes. Modular hardware supports in‑line, mobile, and lab deployments and accommodates multiple chemistries, including current lithium‑ion formats and anticipated solid‑state designs. Benefits include earlier fault detection, reduced scrap, safer second‑life screening, and improved recycling feedstock quality.
INNER offers a high‑throughput X‑ray/CT scanner and a diagnostics service (beta) operated in collaboration with Fraunhofer EZRT. Key features include non‑destructive full‑pack scans at ~50‑micron resolution, automated fault classification, and visually intuitive reports that locate defect type and size. Deployments target in‑line production inspection, mobile field scanning for returned packs, and assessments for repurposing or recycling. Primary customers are automakers, battery manufacturers, remanufacturers, and recyclers seeking faster quality control, improved safety screening, and better material recovery decisions.
INNER is currently going through investment rounds and participates in EU and government grant consortiums, but as of September 2025, there are no verified public records or press releases listing specific institutional investors or VC firms in the company.
