"AI systems that predict machine failures before they happen."
Unplanned machine downtime costs Indian manufacturers an average of ₹5–20 lakhs per hour. Our IoT sensors and edge AI give you a live feed of every machine's health — detecting the early signs of failure days before your operators notice anything wrong.
Live Machine Intelligence
FACTORY FLOOR — LIVE MONITORING
* AI detected Press Line #3 bearing degradation 72 hours before failure. Maintenance scheduled. Estimated savings: ₹4.3L in downtime.
AI models trained on vibration, temperature, and current data detect bearing wear, motor degradation, and lubrication failures 48–96 hours before breakdown — schedule maintenance on your terms, not emergencies.
Computer vision cameras on your production line detect defects at 99.4% accuracy — catching rejects before they reach customers, reducing warranty claims and reputation damage.
Real-time temperature, humidity, and shock sensors across your cold chain — with alerts the moment conditions deviate. GPS tracking and full audit trail for FSSAI and pharmaceutical compliance.
AI identifies energy waste patterns across shifts, machines, and seasons. Automated load balancing and predictive demand management — typically reducing energy costs by 12–25%.
IoT-enabled inventory tracking, automated reorder triggers, and AI-guided pick paths — reducing fulfilment errors and increasing warehouse throughput by 30–40%.
AI processes critical data at the edge (on-device) for zero-latency decisions, while syncing to cloud for analytics, reporting, and remote management — works even with intermittent connectivity.
Who This Is For
If you own machines, manage a production floor, run a warehouse, or operate a cold chain — IoT and Edge AI will directly reduce your costs and increase your output. No IT team required.
Installed vibration sensors on 24 CNC machines. AI predicted 7 failures over 6 months — all serviced before breakdown. Previous year: 11 unplanned stoppages costing ₹38L. After: zero. System paid for itself in 3 months.
IoT temperature monitoring across 4 warehouses and 12 delivery vehicles. Detected 3 refrigeration failures before product was damaged. Estimated pharma product loss prevented: ₹22L in one quarter.
Computer vision system on the packaging line catches 97% of defects (foreign matter, seal failures, underfill) — replacing manual inspection that was catching only 70%. Zero recall incidents since deployment.
Most factory owners can't answer this question precisely. We can — in one assessment visit. Book a free IoT readiness consultation.
