Most predictive-maintenance pitches are cloud dashboards over noisy data. Ours is engineering.
Edge AI · not cloud trips
Our anomaly model and RUL estimator run on a Cortex-M7 next to the sensor. Only the metadata — fault name, severity, recommendation — goes up. No LAN saturation, no internet dependency, no waiting on a cloud round-trip to know your bearing is failing.
Wireless retrofit · 4-min mount
5-yr battery sensors with magnetic mounts. Drop them on the motor or pump while it's running — no MCC trip, no shaft access, no cabling. Plant stays at full output during install. Critical assets get a PoE variant with 51.2 kHz sample.
Fault by name · not threshold
ISO 10816 bands tuned per machine class — not a generic vibration limit. The model flags BPFO, BPFI, BSF, FTF, broken rotor bars, cavitation, slugging by name and points at the FFT line that proves it. Reliability engineers stop arguing with the data.
End-to-end. Not just a device.
A solution is hardware in the field plus the infrastructure that makes the data useful — secure ingestion, a dashboard your team actually opens, and APIs to whatever runs your business.
// Deployments can run on Sensoverse Cloud, on your VPC, fully on-prem, or hybrid. Data residency: India (Mumbai) and UAE (Dubai) regions available.
Eight asset classes. One model family.
Pick a row — see what we listen to.
Handheld rounds catch faults after they happen.
Most plants still run quarterly vibration rounds with a handheld analyser. Cloud-only services moved the data online but kept the same lag. Edge AI on a wireless sensor closes the loop — continuous monitoring, no cloud dependency, fault by name.
What your team sees.
Live KPIs, drill-downs, scheduled reports, and role-based access — out of the box. Custom widgets and white-label themes available.
- Vibration band C/D
- Bearing temp > limit
- Anomaly score > 0.85
Built for plant & campus IT.
Industrial sites have non-negotiables — segmentation, audit trails, and the ability to run when the WAN drops. We design for that on day one.
How customers use it.
Real applications, real outcomes. Every site is engineered — these are reference deployments to anchor a conversation.
What ships in the box.
Vibration sensors, MCSA clamps, oil-debris probes, edge AI gateway, PLC tap and the Sensoverse platform. Sized to your plant — talk to engineering for a one-call scoping.
Engineering data.
// Indicative — full datasheet on request.
Where it's running, right now.
Automotive manufacturer · Central India
MTBF +23% on critical pumps and fans. Two catastrophic-failure prevents in Y1 — feedwater pump and AHU drive flagged 11 days and 38 days ahead.
Cement plant · Rajasthan
Kiln-drive bearing failure predicted 11 days early — planned shutdown saved ~₹3.4 Cr in lost output and emergency-fabrication cost.
Municipal Corporation · Pump network
Cavitation events root-caused on three stations; pump replacement schedule rebuilt around real wear, not service hours. NRW dropped a further 1.4%.
Instrument 20 critical assets in 2 weeks.
Send an asset list and we'll come back with a sensor map, sample reports and a fixed-price quote within 48 hours. Pilots run for 90 days — at the end we hand you a list of named faults and the dates we predicted them.