Four products, one engine. We tell you what’s going to fail, when, and why — while there’s still time to do something about it. You find out what that is worth on data you already have, before anyone talks to you about hardware.
Each product is usable on its own and stronger with the others. Prediction tells you how much life is left; the decision layer turns that into an action with a justification record attached.
Remaining-useful-life per asset. Forecasts when an asset crosses end-of-life, attributes why — and abstains when the data cannot support a call.
How one asset's degradation reshapes its neighbours' limits. System risk, not component risk — the whole facility as one connected system.
The commercial decision layer. Turns remaining life into a cost-optimal action — act now or wait, here is the window, and here is the justification record.
Degradation-aware market dispatch. Capture grid revenue without spending more asset life than the revenue is worth.
The stack runs bottom-up: your assets, the data path, the prediction, and a decision in dollars. Value is proven on the telemetry you already have.
Cost-optimal intervention timing and degradation-aware dispatch — each recommendation issued as a dated record with its assumptions labelled as assumptions.
Remaining useful life per asset, and how that degradation reshapes the limits of the equipment coupled to it. The right technique chosen per asset class.
Your existing telemetry where it exists; Spearix EMI-hardened sensing where it does not. Models run on-site on an NVIDIA Jetson Orin NX module, with cellular backhaul over a private carrier APN — so raw data stays inside your perimeter and predictions continue if the link drops.
Batteries, power electronics, the whole data-center power path, and EV fleets — the assets where being wrong is expensive.
Two physics models running concurrently for four hours on an NVIDIA Orin NX — the class of device that ships with a deployment. Latency, endurance and headroom, measured.
Measured on an NVIDIA Orin NX during an edge-deployment benchmark, May 2026 (SOW-EDGE-5). These are deployability measurements — latency, endurance and GPU headroom — not accuracy claims. CPU ran near its ceiling at peak, so how many assets one box can carry is a separate validation.
A read-only assessment proves the forecast on your own data before any hardware conversation. You see the record; you decide what it is worth.
