Spiking anomaly detection
Spiking neural networks watch vibration, acoustic, and electromagnetic signatures continuously, firing only on change. The result: anomaly recognition on the sensor itself, at power budgets a battery can carry for years.
Edge I&C at the sensor
Instead of hauling every waveform to a historian, neuromorphic nodes reduce data at the point of measurement — events up, silence otherwise. Wiring shrinks, latency collapses, and the control room sees signal, not noise.
Reflex layer for BoP
Between the machine-protection system and the supervisory layer sits a gap: reactions that must happen faster than software but smarter than a relay. An event-driven reflex layer for pumps, valves, and breakers fills it.
What this is — and isn't.
This is a research program, not a product page. We prototype on commercially available neuromorphic silicon and standard event-camera and MEMS front-ends, and we integrate results into our shipping Plant Intelligence software as they mature. Partners interested in co-development — labs, universities, energy operators with hard sensing problems — are exactly who we want to talk to.
Co-develop the reflex layer.
If your facility produces more data than your historian can drink, we should talk.
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