first-to-market cryptographically verified autonomous AI agent. 6.8MB footprint, air-gapped deployment, BYOLLM architecture. Built for defense, finance, healthcare, and manufacturing.

🏭⚙️ Real-time fabric defect detection using CNNs and Transfer Learning for smart quality control

AI system to minimize manufacturing scrap and maximize yield — root cause analysis, parameter correlation, and closed-loop optimization

End-to-end product traceability system for manufacturing — blockchain-anchored audit trail from raw material to customer delivery, enabling instant recall management

Real-time supplier risk monitoring — NLP analysis of news, financials, and geopolitical signals with ML risk scoring and supply chain impact simulation

AI-native Manufacturing Execution System integration layer — intelligent work order routing, real-time production optimization, and predictive capacity planning

ML system to predict workplace safety incidents in manufacturing — analyzes sensor data, work patterns, and environmental factors to prevent accidents before they occur

Graph AI platform connecting equipment, processes, materials, and failure modes — enabling complex relationship queries and causal analysis across manufacturing operations

AI-driven manufacturing capacity planning — demand-supply matching, bottleneck prediction, investment scenario modeling, and workforce optimization

End-to-end ops platform for tire manufacturers — AI quoting, order lifecycle, invoice, automation & customer email negotiation. Built with Next.js · TypeScript · PostgreSQL · OpenAI. Live demo available.

Agentic AI system for Nordic wind-turbine manufacturing using AWS Bedrock and Claude, reducing downtime, enforcing safety, and preventing high-cost mechanical failures.

Natural language AI copilot for manufacturing operations — query production data, quality metrics, and equipment sensors across 12 plants

AI-powered production scheduling with constraint satisfaction — optimizes across machines, materials, labor, and orders to maximize throughput and minimize tardiness

Autonomous AI system to optimize manufacturing process parameters — injection molding, extrusion, CNC — using Bayesian optimization and reinforcement learning

AI system for autonomous drone-based inspection of large manufacturing facilities — path planning, defect detection, 3D mapping, and compliance reporting

Voice-enabled AI assistant for manufacturing shopfloor operators — real-time answers to production questions, SOP guidance, and hands-free work order management

AI system to monitor, forecast, and optimize energy consumption across manufacturing facilities — reducing energy costs by 18-25% through intelligent load scheduling and equipment efficiency

AI-powered Overall Equipment Effectiveness platform — real-time OEE monitoring, anomaly detection, root cause analysis, and autonomous improvement recommendations

machine-learning, deep-learning, cnn, computer-vision, defect-detection, industrial-ai, tensorflow, keras, image-classification, casting-defects, huggingface-spaces, gradio, manufacturing-ai

Deploy and manage ML models at the edge — OPC-UA integration, PLC connectivity, real-time inference on embedded hardware for sub-millisecond decisions