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Object detection & tracking
Real-time detection and multi-object tracking for retail, manufacturing, and safety monitoring.
Artificial intelligence
Vision systems, proven in production.
Detection, tracking, OCR, and pose estimation running in real time — proven with EngageMax, our production pose-detection platform for engagement analytics.
What we build
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Pose estimation
Human pose and movement analytics — the technology behind our EngageMax platform.
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Visual inspection
Automated defect detection on production lines with accuracy thresholds you set.
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Document OCR
Layout-aware extraction from scans, forms, and IDs feeding straight into your workflows.
How we deliver
Step 01 — Assess
Use-case discovery, data and platform readiness, and a business case with measurable outcomes for computer vision.
Step 02 — Build
Senior-led delivery in weekly increments — architecture, security, and quality gates baked into every sprint.
Step 03 — Operate
Production monitoring, SLAs, and continuous improvement through our managed services team in Chennai.
Tools & platforms
PyTorchYOLOOpenCVMediaPipeTensorRTAWS PanoramaEdge devices
In depth
Computer vision proven in production, not just papers
Our computer vision practice grew out of shipped systems — including EngageMax, a real-time human pose estimation platform running predictive detection at production scale. That experience shapes how we build: models are only half the problem; the other half is video pipelines, edge deployment, and keeping accuracy honest under real-world lighting, angles, and occlusion.
We build detection, tracking, OCR, and pose-estimation systems for quality inspection on manufacturing lines, shelf and footfall analytics in retail, document digitization in insurance, and safety monitoring across logistics and industrial sites. Deployment lands wherever latency demands — cloud GPU, on-prem server, or edge device.
Every engagement includes labeled-data strategy, model evaluation against your acceptance criteria, and integration with the dashboards and alerts your teams already watch. Vision systems earn trust by being measurably right — so we measure everything.
Production pedigree
Built and operated real-time pose estimation at scale — not just proof-of-concepts.
Edge to cloud
Models deployed where latency and bandwidth demand: device, plant floor, or GPU cluster.
Measured accuracy
Acceptance criteria defined up front; precision and recall reported continuously.
Frequently asked questions
Have a different question? Talk to an engineer, not a salesperson.
Can it run on our existing cameras?
Usually yes — we work with standard RTSP/IP cameras and size the compute (edge or cloud) to your frame-rate and latency needs.
What accuracy can we expect?
We agree a measurable target per use case during assessment, then validate against a labeled sample of your real footage before full rollout.
Does video leave our premises?
Not necessarily — edge deployment keeps frames on site and ships only events and metrics to the cloud.