Kapate OS — Unified Operations Platform
High-performance enterprise ERP unifying workforce operations, 7-tier RBAC security, sales deal pipeline, milestone tracking, timesheets, and automated financial billing.
Explore our production deliverables across Computer Vision, Deep Learning, Enterprise Operations Architectures, and Mission-Critical Cloud Engineering.
An intelligent automated solid waste stream classification platform powered by PyTorch and Two-Stage Transfer Learning on EfficientNet-B0. Features real-time explainable AI via Grad-CAM feature salience heatmaps and webcam input.
Production architectures built and deployed by Kapate Consultancy
High-performance enterprise ERP unifying workforce operations, 7-tier RBAC security, sales deal pipeline, milestone tracking, timesheets, and automated financial billing.
High-speed conveyor surface defect detection system running at 60 FPS on edge hardware. Identifies microscopic cracks, welding flaws, and cosmetic blemishes with 99.1% recall.
Graph Neural Network & gradient-boosted risk assessment pipeline scoring financial payment streams in under 12ms. Reduced false positive alerts by 41% across banking pilot.
Hierarchical demand forecasting engine predicting warehouse replenishment demand across 80 distribution hubs. Lowered stockout events by 32% while pruning safety stock inventory by 24%.
Automated Kubernetes resource right-sizing and spot fleet orchestration controller for high-load SaaS platforms. Reduced monthly AWS/GCP compute expenditure by 38% without SLA degradation.
Every solution created at Kapate Consultancy adheres to rigorous mathematical validation, reproducible benchmarks, and enterprise security standards.
Multi-pass deduplication, stratified holdout splits, and distribution audit to eliminate data leakage and baseline contamination.
Linear classification head warmup followed by full backbone fine-tuning with cosine annealing and mixed-precision (FP16).
Grad-CAM and SHAP feature attribution layers ensure model predictions rely on authentic diagnostic features, not spurious artifacts.
Compiled TensorRT and ONNX runtime deployment delivering sub-5ms inference on edge devices and horizontally scaled microservices.