genSense provides a wireless predictive maintenance platform that continuously streams full‑spectrum vibration data from critical equipment and uses AI to create a digital fingerprint for each machine. The system detects early‑stage bearing, alignment, and mechanical issues months before failure, then automatically generates work orders in your CMMS, enabling planned repairs and reducing unplanned downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial rotating equipment such as compressors, motors, pumps, and fans often fail unexpectedly because traditional vibration monitoring relies on threshold alerts and requires expert interpretation, leading to late detection, unplanned downtime, and high repair costs.
Solution
genSense provides a predictive maintenance platform that continuously streams full‑spectrum vibration data from magnet‑mount wireless sensors. Its AI engine creates a digital fingerprint for each machine, detecting subtle changes in bearing, alignment, and lubrication conditions months before a failure occurs. Detected issues are translated into plain‑English diagnoses with urgency scores, and work orders are automatically pushed to the user’s CMMS, enabling scheduled repairs without the need for vibration specialists.
Target Audience
Primary customers are plant managers, reliability engineers, and maintenance teams in manufacturing, process, and energy facilities that operate large fleets of rotating equipment.
Features
- Magnet‑mount wireless sensors that install in minutes and require no wiring
- Continuous full‑spectrum vibration capture, producing a unique digital fingerprint per asset
- AI‑driven analytics that identify bearing, alignment, and mechanical faults months ahead of failure
- Plain‑language fault diagnosis with priority ranking and recommended corrective actions
- Automatic generation of CMMS work orders for scheduled maintenance
- Scalable monitoring across all rotating equipment in multiple facilities
- Prioritized, actionable alerts that reduce alarm fatigue