From object detection to AR-guided diagnostics — we engineer production-grade computer vision systems that see, understand, and act.
End-to-end computer vision development — from model training to edge deployment. We turn your camera feeds into actionable intelligence.
Real-time detection, classification, and tracking of objects across video streams. People counting, vehicle tracking, defect detection.
AR-powered guidance systems that overlay instructions on real-world views. Camera-based diagnostics, step-by-step visual workflows.
Transform CCTV and camera feeds into business data. Footfall analytics, heatmaps, occupancy monitoring, behavior analysis.
Optimized models for edge hardware — NVIDIA Jetson, Coral, custom SBCs. On-device inference with no cloud dependency.
Training and fine-tuning vision models for your specific use case. Data collection strategy, annotation, training pipelines, deployment.
Scalable vision pipelines on your infrastructure or ours. GPU-accelerated processing, real-time streaming, API integration.
Real systems we've built, shipped, and scaled. Each one started as a problem — here's what we delivered.
AR-powered diagnostic platform. Customers point their camera, AI recognizes issues, AR guides solutions — support at infinite scale.
Camera-powered retail analytics — footfall counting, customer journey mapping, shelf monitoring, and store performance insights.
Edge AI camera system engineered for transit. On-device passenger detection, 24/7 operation in extreme conditions, live reporting.
We don't make slide decks about AI. We write the code, train the models, build the hardware, and ship production systems.
From data collection and model training to edge deployment and monitoring.
We deploy wherever your system needs to run — embedded devices, on-premise servers, or cloud.
Not demos. Real systems running 24/7 in harsh conditions, handling real workloads.
Optics, embedded software, ML models, APIs, dashboards — one team, one codebase.
Computer vision engineering is the process of building software systems that extract meaningful information from images and video. This includes detecting and tracking objects, recognizing faces, reading text, measuring distances, and understanding scenes — then turning those observations into actions like alerts, analytics, or physical controls.
It depends on complexity. A prototype on your data typically takes 4-6 weeks and costs $5K-15K. A production-ready system with edge deployment, dashboards, and ongoing support ranges from $15K-50K. We scope every project before quoting — no surprises.
A working prototype on your actual data and environment takes 4-6 weeks. Production hardening (error handling, monitoring, edge cases, integration) adds another 8-12 weeks. Total concept-to-deployed system is typically 3-5 months.
We work with whatever you have. Most projects use existing CCTV or IP cameras. If the camera quality or placement isn't suitable for your use case, we'll recommend specific hardware — but we always evaluate your existing setup first.
We've shipped CV systems for retail (store analytics), transit (passenger counting), and industrial applications. The engineering principles are the same across industries — detection, tracking, classification, and action. If your problem involves cameras and data, we can likely help.
Have a computer vision challenge? We'll help you scope it, architect it, and ship it. No fluff — just engineering.