Aspinity / Applications / Industrial IoT
Industrial · Edge AI PdM
Anomaly detection that lives on the machine.
Aspinity's analog AI learns a machine's normal signature and flags anomalies right at the source. No cloud, no custom training, no recurring cost. Mount it, let it learn, and it monitors for years on a battery.
The challenge
Predictive maintenance stalls on cost and complexity.
Cloud-based monitoring means connectivity, data plumbing, per-asset model training, and recurring fees — so it rarely reaches the long tail of equipment that actually fails.
Wired power and gateways make retrofits expensive, and battery budgets can't sustain always-on digital inference.
On-machine anomaly detection · alert on event
The Aspinity approach
Self-learning, on-device, for years on a battery.
How it works
- LearnThe core learns each machine's normal signature in place without a data collection campaign.
- DetectIt flags deviations by analyzing the analog signal before digitization.
- EndureUnder-100µA operation means 3+ years on a battery, no wiring.
- OwnFully on-device. Low cloud dependency and low recurring cost.
3+ yr
Battery life
On-device
Low latency & no cloud dependency
Continuous
Vibration monitoring
Self-learning
No training set
Rotating equipmentPumps & compressorsPredictive maintenanceStructural monitoring
Get in touch
Have equipment to protect? Let's talk.
Tell us about the assets and signatures you care about, and we'll show how the core maps to them.
Or email us directly at info@aspinity.com