Niobia: Revolutionizing Defect Detection in Battery and Chip Manufacturing
San Francisco-based startup Niobia is addressing a crucial yet often overlooked challenge in the manufacturing of batteries and semiconductors: helping engineers quickly understand the root causes of production defects. By leveraging advanced AI technology, Niobia’s software flags defects on production lines and allows engineers to interact with a specialized chatbot that explains why these defects occur—dramatically shortening the diagnostic process from days to mere minutes.
How Niobia’s AI Enhances Production Quality
Niobia’s solution involves deploying AI agents equipped with self-contained GPUs directly on manufacturing equipment, functioning similarly to sensors. These agents meticulously scan production lines, identifying minute flaws such as pinhole-sized scratches that can compromise product quality. Unlike traditional systems that may require extensive manual inspection and data consolidation, Niobia’s AI collects and centralizes all relevant data, enabling engineers to query a chatbot for immediate insights into defect causes and enabling deeper investigation as needed.
This rapid feedback loop is vital in industries where chips and batteries are foundational components yet often face supply shortages. During phases of research and development, manufacturing processes are prone to issues that halt production for days as engineers work to pinpoint and resolve problems. Given that each defect can cost manufacturers millions and delay timelines, Niobia’s ability to accelerate troubleshooting represents a significant competitive advantage.
Industry Expertise Driving Innovation
Co-founders Gaurav Jha and Harveen Kaur, both holding PhDs in chemistry and with hands-on experience at leading chipmakers and battery manufacturers, bring deep domain expertise to Niobia. Their insider understanding of the industry’s challenges informs the company’s specialized approach to defect detection and analysis.
“It’s extremely niche; maybe people will never know about it,” Jha said in a discussion ahead of TechCrunch Disrupt 2026, where Niobia is a Battlefield finalist. “But it’s like behind the scenes, this is powering everything… we just don’t see it in the regular world.” He emphasized that these manufacturing processes impact everyday products from glasses and shoes to wallets and headphones, underscoring the broad reach of Niobia’s technology.
Open Source AI and Data Privacy
Niobia’s AI agents employ open source models that the company further trains using proprietary battery and chip research data. This customized training enables the identification of even the smallest defects. Importantly, Niobia chose open source frameworks because its clients prioritize data confidentiality and do not want sensitive manufacturing information sent to public AI clouds, where it might be used in training other models.
“None of our customers want their proprietary data to go to the cloud, even if we tell them it’s safe,” Jha explained. To reinforce security, Niobia offers customers control over their own encryption keys, ensuring that even Niobia cannot decrypt their data. This robust approach to cybersecurity is critical amid the intense global competition to innovate in battery and semiconductor technologies.
Focused Specialties and Future Aspirations
Currently, Niobia concentrates on three specialized manufacturing processes: film coating, electroplating (the application of metal coatings using electrical current), and fluidized bed reactions (chemical processes involving suspended solid particles in gas or liquid). By mastering these areas, Niobia aims to refine defect detection and analysis where it matters most.
Looking ahead, the company envisions evolving its AI to enable fully autonomous production environments. The ultimate goal is to help customers build self-driving factories that minimize human intervention while maximizing efficiency and quality control.
If you’re interested in learning more, Niobia will be presenting live at TechCrunch Disrupt 2026 in San Francisco. Join us to see Niobia and 19 other innovative startups compete in the renowned Startup Battlefield from October 13 through 15.
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