Niobia Uses AI to Detect Manufacturing Defects in Battery and Chip Production
San Francisco-based startup Niobia has developed an AI-driven solution aimed at identifying defects during the production of batteries and chips. The company's software uses on-site GPU-powered agents to detect minute flaws, such as scratches, while also enabling engineers to quickly determine root causes through a chatbot interface. This approach aims to reduce costly delays in manufacturing by accelerating problem resolution from days to minutes. Niobia’s co-founders have deep expertise in chemistry and the semiconductor industry, giving them insight into common production challenges. The company focuses on niche but critical processes like film coating and electroplating while prioritizing data security through customer-controlled encryption keys. Niobia is set to showcase its technology at TechCrunch Disrupt 2026 as a Startup Battlefield finalist. The startup operates in a multibillion-dollar market, serving major battery and chip manufacturers who are increasingly reliant on AI for quality control amid global supply chain pressures.
Topics: AI battery manufacturing defect detection semiconductor production startup innovation