InviBoTech

We’re building the next generation of autonomous quality control – millisecond-defect detection with 99% accuracy, powered by self-training vision transformers that outpace human inspection by orders of magnitude. Our agentic supply chain ecosystems don’t just optimize – they auto-negotiate, predict, and self-correct in real time, slashing costs and neutralizing risks before they materialize. Core Stack: Quantum-Inspired CV Platform – Ultra-low-latency anomaly detection that learns from zero defect examples (no massive datasets required) Multi-Agent Supply Orchestration – A decentralized network of AI agents that collaboratively solve bottlenecks while preserving data sovereignty Federated Learning Backbone – Enterprise-grade privacy via on-premise AI training with Oxford-derived neural architectures