Computer Vision built for production.
Not demos.
TensorLab designs, deploys, and operates production-ready computer vision systems — detection, recognition, and end-to-end ML pipelines built for real-world workloads.
Services
Practical, production-focused computer vision work — from feasibility to deployment to long-term reliability.
Feasibility & Prototyping
Structured validation of your use case: data assessment, baselines, risks, and success metrics.
- Data + labeling plan
- Baseline model & metrics
- Go / no-go recommendation
Production CV Systems
End-to-end pipeline design and implementation: training, inference, deployment, and performance optimization.
- Training + inference workflows
- Deployment (GPU/CPU) & optimization
- Integration with your stack
Monitoring & Support
Keep systems reliable after launch: monitoring, drift checks, retraining, and incident response.
- Monitoring + alerting
- Data drift & model quality checks
- Planned iterations & fixes
Scaling face detection & recognition to production
Refactored an existing CV system to reduce manual human input and rebuilt it to be GPU-accelerated and reliable under production-scale data volumes.