Niobia AI
Category: AI in Manufacturing
AI process-engineering platform for diagnosing and preventing defects in advanced manufacturing. Niobia AI was founded in 2025. The company is led by Gaurav Jha. Based in San Francisco, California, United States. Team size: 2-10. Latest round: Undisclosed.
- Founded
- 2025
- Headquarters
- San Francisco, California, United States
- Team size
- 2-10
Value proposition
Helps manufacturing teams find root causes of process failures and prevent recurring defects far faster by unifying production data, edge detection, and AI-assisted diagnosis.
Products and solutions
Lab OS, Managed Database, Edge AI.
Unique value
Domain-specific AI process engineer combining batch genealogy, equipment-connected edge AI, and explainable root-cause analysis inside the customer's security boundary.
Target customer
Process engineers, materials scientists, R&D teams, and manufacturing teams at battery, semiconductor, and other advanced-manufacturing companies.
Industries served
Batteries, semiconductors, coatings and thin films, electroplating, fuel cells, solar cells, materials manufacturing, plastics, specialty chemicals, ceramics.
Technology advantage
Fine-tunes open-weight models on battery and chip research/data; runs AI on equipment or in customer-controlled environments; supports local processing, BYOK encryption, and no training on customer data.
How they differentiate
Niobia is positioned around process and materials intelligence for battery and semiconductor yield improvement, rather than general visual inspection or broad predictive-maintenance software; its agents integrate process, instrument, and batch-history data to explain likely root causes.
Main competitors
Instrumental, Landing AI, Augury.
Major milestones
Founded in 2025, launched under the Niobia AI brand after operating as BatLabs AI, named a TechCrunch Disrupt 2026 Startup Battlefield finalist.
Growth metrics
LinkedIn lists 2-10 employees and 587 followers; Niobia was a TechCrunch Disrupt 2026 Startup Battlefield finalist.
Market positioning
Early-stage industrial AI / advanced-manufacturing intelligence platform focused on high-cost defect diagnosis and yield improvement.
Geographic focus
United States, with relevance to global battery and semiconductor manufacturing markets.
About Gaurav Jha
Ex-Intel Logic Technology Development engineer; UC Irvine PhD in Materials Chemistry.
Latest news about Niobia AI
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Official website: https://niobia.ai/