Remaining life for a single asset. It forecasts when the asset crosses the line where you have to act, says what is driving it there, and returns nothing at all when the data cannot support a call.
Knowing eighteen months out is what gets you into the procurement queue before the asset fails, instead of years after it.
The most valuable thing PredictPowr does is decline to guess. On stale or incomplete data it abstains rather than answering. In testing it rejected about 70% of degraded rows; error on the rows it accepted fell between roughly 1.5× and 10× on public NASA reference cells.
Where physics earns its place — predicting outside the range an asset has run before — PredictPowr encodes the governing equations rather than borrowing their shape. Where a simpler model wins on a given asset class, we use that instead, and we say so.
What a customer receives is a record, not a chart: a dated forecast with the model, method and data source attached, and a range with confidence rather than a single guess.
The same evaluation view shows the cells it called and the cell it did not. We publish both, because only the pair is informative.
On stale or incomplete inputs the model abstains rather than answering. Knowing when not to predict is the strongest, hardest-to-copy behaviour it has.
Physics-informed where physics earns its place; statistical where it does not. The comparison is run honestly, per asset class.
Every forecast is issued as an auditable record — model, method, data source, and the level of evidence behind it.
On public NASA reference cells the abstention gate rejected about 70% of degraded rows and cut error on the rows it accepted by roughly 1.5× to 10×, depending on how the data broke. The rejection rate is the value, not a caveat. We describe it as exactly that, and not as a headline accuracy number.
Public NASA reference cells · missing-data robustness study, June 2026. Single sample; gap positions randomly drawn.
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.
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.
