Gyan Labs
Gyan Labs builds private AI applications, computer-vision tools, and mathematical optimization solutions for industrial enterprises. The company offers on-premises AI infrastructure and secure retrieval-augmented generation systems that use isolated vector databases to search and cite internal documents while enforcing role-based access controls. Its active research program focuses on adaptive logistics optimization using mathematical programming methods.
- Artificial Intelligence
- Manufacturing / Industry 4.0
- Software Only
- Logistics & Supply Chain
Funding
Founders
Founder details are not available yet.
Product
Problem
Industrial enterprises face significant challenges applying AI to sensitive operational data due to privacy concerns, regulatory requirements, and the risks of sending proprietary information to public cloud services. Standard AI solutions often lack the customization and control needed for complex manufacturing, logistics, and document-intensive environments, while generic tools fail to deliver measurable operational utility.
Solution
Gyan Labs provides private AI applications, computer-vision solutions, and mathematical optimization technologies designed for industrial use. The company builds on-premises AI infrastructure with local large language models, enabling complete data control and independent operation. Its enterprise document intelligence systems use retrieval-augmented generation with isolated vector databases to enable secure search and structured inquiry across internal manuals, SOPs, and specifications, with citation-backed answers and role-based access boundaries. The company also develops industrial computer-vision tools for visual inspection and defect detection, and conducts applied research in mathematical optimization for logistics and decision systems.
Target Audience
Primary customers are industrial enterprises in manufacturing, logistics, and operations-intensive sectors that require private AI infrastructure, document intelligence, and optimization solutions for complex operational challenges.
Features
- On-premises AI infrastructure with local LLMs designed for independent operation and complete data control
- Private RAG systems using isolated vector database architecture (Qdrant/Chroma) with multi-format document ingestion (PDF, Word, Excel, SQL)
- Citation-backed answers with strict source verification and role-based document access boundaries
- Industrial computer-vision pipelines for surface defect detection, anomaly detection, and assembly verification with low-latency edge GPU inference
- Active research program in adaptive logistics optimization using Python and Google OR-Tools, with CVRP baseline verified through exhaustive enumeration
- Mathematical modeling grounded in graph theory, combinatorial optimization, linear and integer programming, and constrained operational models