San Francisco-based startup Niobia is making significant strides in the battery and chip manufacturing industry by addressing a critical yet often overlooked aspect: helping engineers understand production failures. The company's AI software identifies defects and allows engineers to query a chatbot for insights, aiming to provide answers in minutes instead of days.
How It Works
Niobia's customers deploy AI agents on their production lines to detect defects, subsequently involving human engineers to determine potential causes of product failures. These agents operate on self-contained GPUs mounted directly on manufacturing equipment, functioning similarly to sensors. They are capable of identifying minute flaws, such as pinhole-sized scratches.
The AI also consolidates all relevant data, enabling engineers to inquire about issues and investigate deeper into the root causes. This speed is crucial, as chips and batteries are among the world's most vital products, and their supply is increasingly limited. During research and development, manufacturers often encounter setbacks, leading engineers to spend extensive time resolving issues before resuming production. Each defect can be costly, sometimes amounting to millions of dollars, and can delay manufacturing timelines.
Founders' Background
Gaurav Jha and Harveen Kaur, co-founders of Niobia, both hold PhDs in chemistry and have experience working with chipmakers and battery manufacturers, providing them with firsthand insights into industry challenges. In a call prior to TechCrunch Disrupt 2026, where Niobia is a finalist in the Battlefield competition, Jha noted that while the company's focus is specialized, it operates within a multibillion-dollar market that includes major battery and semiconductor manufacturers.
