San Francisco-based Niobia is applying AI to one of the most expensive problems in manufacturing: figuring out why a chip or battery fails. Its software places AI agents on production equipment, where they detect tiny defects and let engineers query a chatbot to trace the likely cause. The company says this can cut diagnosis time from days to minutes, reducing costly downtime in industries where a single flaw can cost millions.
Niobia's agents run on open-source models that the startup trains on battery and chip research. The choice is deliberate: customers do not want sensitive production data sent to public AI clouds. Niobia also lets customers hold their own encryption keys, so the startup cannot decrypt their data.
The company is starting with three specialties: film coating, electroplating, and fluidized bed reactions. Its longer-term goal is a fully self-driving factory. Niobia is a finalist in the Startup Battlefield competition at TechCrunch Disrupt 2026. The single source for this article is TechCrunch; no conflicting reporting was available.Strict JSON only? The user asked