We train and deploy models that detect products, parts, tools, defects, damages, and anomalies in industrial and retail environments. Based on YOLO, DETR, RT-DETR, or custom CNNs, pipelines support multi-class detection, bounding boxes, tracking, and quality scoring with confidence thresholds and human-override review.

We implement biometric authentication for onboarding, workplace access, fraud reduction, and attendance automation. Face matching works across lighting, angles, and cameras with anti-spoofing, liveness checks, and mask detection. Fully on-prem options available for privacy-critical industries like finance, healthcare, and government.

We extract text, tables, stamps, and handwritten fields from IDs, invoices, receipts, contracts, and logistics labels. Using Tesseract, PaddleOCR, LayoutLM, and Vision Transformers, we convert unstructured scans into clean databases ready for automation, validation flows, and ERP/CRM integration.

We enable live video inference for people counting, intrusion detection, PPE compliance, movement tracking, queue analytics, and heatmaps. Models run on GPU servers, edge devices (Jetson, Coral), or hybrid cloud, sending alerts to dashboards, messaging apps, or security systems in real time.

We build AI-powered shelf monitoring, stock detection, packaging verification, damage scoring, and barcode-free scanning. Vision pipelines replace manual audits and reduce shrinkage, mis-counts, and processing delays while generating analytics for operations, supply chain, and merchandising teams.

We fine-tune, compress, quantize, and deploy models to edge devices, mobile apps, drones, and robots. CI/CD pipelines automate dataset labeling, retraining, drift checks, and rollout monitoring. Supports TensorRT, ONNX, OpenVino, and GPU-accelerated inference for enterprise-grade performance.