T7 builds computer-vision inspection systems that catch defects at line speed, learn from every escape, and give quality leaders a trail auditors trust.
Manual visual inspection misses subtle defects, fatigues over a shift and can't keep up with new product variants.
Off-the-shelf vision APIs don't run at line speed, don't handle your defect classes and can't be audited.
Custom-trained vision models per defect class, deployed to edge devices for sub-second inference next to the line.
A closed-loop labelling console lets QA leads confirm or correct edge decisions — retraining happens weekly on real production data.
Every decision is logged with image, model version, confidence and reviewer — a governance trail that survives audit.
Line cameras stream to an edge box; QA labels seed the first model per defect class.
Sub-second inference triggers a reject signal to the PLC or a review flag on the HMI.
Weekly retraining on confirmed escapes; every decision retained with full lineage for auditors.
Custom vision models for quality control, retail analytics, medical imaging and more.
Explore serviceProduction ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceFor a well-defined defect class, we can seed a first model with 500–1,500 labelled images and reach production accuracy within 6–8 weeks of line feedback.
Yes — inference runs on-edge with no cloud dependency at the line. Training and dashboards sync when connectivity is available.
Industries where this workflow ships, the insights behind it, and the tradeoffs to weigh.
AI for the factory floor
AI for power, oil, gas and renewables
AI for farming, agri-inputs and supply chains
How mid-market Indian manufacturers are deploying computer vision quality control and predictive maintenance — with realistic timelines, ROI and rollout patterns from T7 engagements.
Jetson, OpenVINO, Coral and the model-optimisation tricks that make production CV run offline at the plant.
Exposing enterprise systems to AI: REST vs MCP
n8n vs Zapier for AI-native workflow automation
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.