T7 Solution builds AI-driven production systems that connect the shop floor to the boardroom — real-time visibility, automated quality control, and predictive uptime.
Every manufacturer we work with is drowning in data and starving for insight. Machines emit telemetry, cameras watch every line, and ERPs record every transaction — but decisions still happen in WhatsApp groups and Excel. T7 Solution closes the loop with production ERP, computer-vision QC and predictive maintenance that turn raw signals into real actions.
We work with SMEs and multi-plant enterprises across engineering, textiles, pharma, chemicals, food and packaging. Our deployments run on the cloud, on-prem or at the edge — whichever fits your OT constraints.
Every model ships with a shop-floor dashboard for operators and a KPI dashboard for the plant head, so AI outputs turn into shift-level decisions.
Reactive maintenance costs 3–8x more than predictive — but requires sensor data and models to work.
Human QC misses defects, fatigues over shifts and can't scale with line speed.
Plant heads discover problems days after they happen — too late to intervene.
Procurement, inventory and production are planned in silos, causing stockouts and excess.
Detect defects on the production line in real time using custom vision models.
Forecast machine failures before they happen from sensor and telemetry data.
GST-ready manufacturing ERP with BOM, work orders, and multi-plant reporting.
AI models that optimise procurement, routing, and inventory across the network.
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 serviceExtract structured data from invoices, forms, IDs and reports with 95%+ accuracy.
Explore serviceExplore how T7 Solution delivers manufacturing AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Yes. We deploy on NVIDIA Jetson or industrial PCs at the edge — fully offline inference with local dashboards.
Vibration, temperature, current and pressure are the common four. We can also work from PLC/SCADA data alone for many use cases.
Yes. We integrate via APIs, IDoc, OPC UA or database-level connectors, and can complement (not replace) an existing ERP.
Typically 4–6 weeks from camera install to a working defect model on one line, with iterative accuracy improvements after.
Use cases, insights and comparisons chosen for manufacturing teams evaluating AI.
Sub-second defect detection on the line — with a governance trail.
Straight-through processing for accounts payable — from PDF to ERP.
S&OP-grade forecasting, replenishment and scenario planning.
How mid-market Indian manufacturers are deploying computer vision quality control and predictive maintenance — with realistic timelines, ROI and rollout patterns from T7 engagements.
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