Machine 7 was going to fail. We told him on Tuesday.

Ankur Polymers is a Tier-2 auto parts manufacturer in Chakan, Pune, supplying interior plastic components — door handles, AC vents, dashboard trims — to Tata Motors, Mahindra, and Bajaj Auto. They run 18 injection molding machines across two shifts, employ 240 people, and clock around ₹85 Cr in annual revenue.

Plant Head Rohan Kulkarni spends most Mondays in OEM penalty review calls. What keeps him up: the 11 PM WhatsApp from a shift supervisor saying "Sir, Machine 12 is down again."

In FY24, Ankur logged 67 hours of unplanned downtime per month across the floor. Each downed machine cost roughly ₹52,000/hour in lost production plus expedited spare-part runs to Bhosari market at odd hours. A maintenance team of six was reactive by design: a barrel heater would burn out, a hydraulic pump would seize, and only then would someone call a vendor.

False operator alerts ("machine sounds weird") ate another 30% of their bandwidth.

Vynara retrofitted all 18 machines with vibration sensors on hydraulic pumps and servo motors, current clamps on the main supply line, and thermocouples on barrel zones. Sensor data streams to an industrial edge gateway on each machine, then to a central server running anomaly detection models trained on Ankur's own failure history.

When a vibration signature drifts or current draw shifts beyond baseline, the system files a work order in their existing maintenance app and pings the right technician on WhatsApp with the expected failure window. Diagnosis, repair, and the "take it offline now or after shift?" call stayed human. Build: 10 weeks.