Key facts
- Niobia's AI software helps engineers identify and diagnose production defects in chip and battery manufacturing.
- The AI agents run on self-contained GPUs mounted on manufacturing equipment.
- Engineers can use a chatbot to ask the AI about the causes of defects.
- Niobia's technology aims to reduce defect diagnosis time from days to minutes.
- The company's AI agents are trained on open-source models and proprietary data.
- Niobia prioritizes cybersecurity by allowing customers to hold their own encryption keys.
San Francisco-based startup Niobia is developing artificial intelligence software to help engineers in the battery and chip manufacturing sectors identify and understand production defects more quickly. The company's AI agents are deployed on production lines, mounted on GPUs, to detect microscopic flaws such as scratches. These agents gather data, allowing engineers to use a chatbot interface to inquire about the causes of failures, aiming to reduce diagnostic time from days to minutes.
This technology addresses a critical need in industries where defects can cost millions of dollars and significantly delay manufacturing timelines. Niobia's co-founders, Gaurav Jha and Harveen Kaur, both hold PhDs in chemistry and have prior experience in chip and battery manufacturing. Jha highlighted that while the market is specialized, it serves a multibillion-dollar sector encompassing major battery and semiconductor producers.