See failures before they happen.
GearMind connects to the sensor data you already have and flags equipment drifting toward failure. No new hardware. No data science team.
Connect. Analyze. Predict. Act.
A real process, in order — the path your data takes from sensor to work order.
Connect existing data
No new sensors, no hardware install. Bring in readings from your SCADA, PLC, or historian over OPC-UA, Modbus, or MQTT — or upload a CSV to start today.
AI analysis engine
GearMind reads vibration spectra, thermal patterns, and power signatures to spot a machine drifting from its own normal — often before a technician would notice on a walk-through.
Failure prediction
When a pattern matches a known failure signature, GearMind estimates a timeline — what's likely to fail, and roughly when — so maintenance gets scheduled, not scrambled.
Actionable recommendations
Every alert ships with next steps: what to inspect, which part to order, and how urgent it really is. Not just a red light.
Works with what you already have.
Eight equipment categories, each with its own sensor mix and failure patterns.
Motors & Pumps
Compressors
Conveyors
Mixers & Agitators
HVAC Systems
Generators
Cooling Towers
Packaging Lines
Start free.
Scale when it's paying for itself. Self-serve on every plan except Enterprise.
- 50 machines
- Unlimited history
- Full AI predictions
- CMMS integration
- SMS alerts
- Priority support
- Unlimited machines
- On-premise deployment
- Custom model training
- Real-time streaming
- Dedicated success manager
- 99.9% SLA
Built for the factory floor.
The essentials, before you connect anything.
Encryption
Data encrypted in transit and at rest.
On-premise option
For teams that can't send data off-site.
Your data stays yours
Never used to train models shared across other customers.
Questions?
Who's building this.
Building AI-powered predictive maintenance for industrial operations across Africa and globally, from Lagos, Nigeria.