Related productAvailable today
Solar Intelligence Platform
Physics-calibrated performance intelligence for solar fleets — every megawatt-hour of loss attributed to a cause.
Water
Architecture readyIntelligence that tolerates thin instrumentation.
Treatment, distribution, and pumping systems with sparse instrumentation.
The operating problem
- 01
Networks are instrumented sparsely and unevenly, so most of the system is inferred rather than measured.
- 02
Pump efficiency degrades slowly and is usually only noticed through the energy bill.
- 03
Losses are quantified annually in aggregate, which is far too late and far too coarse to act on.
How Peryx applies
- 01
Hydraulic and pump models fill the gaps between sensors instead of requiring a sensor at every point.
- 02
Energy consumed per unit delivered becomes a continuously modeled quantity rather than a monthly ratio.
- 03
Anomalies are localised to a network segment rather than reported for the system as a whole.
Under the hood
The pipeline does not change between sectors.
Only the physics model in the middle is sector-specific. That is the whole argument for expanding beyond solar.
Sensors
Telemetry
Physics model
Digital twin
Insights
Recommendations
Decisions
Where we actually are
Architecture readyModeling approach designed and ready for a scoped pilot.
Architecture ready. The hydraulic and pump models are designed and ready to calibrate against a real network.
Solar is the sector where this architecture has been proven against real operational data. If you operate water assets and want to know whether it transfers to yours, the honest answer comes from looking at your data together — not from a page like this one.
See the platform
Bring your hardest question.
Mixed vendors, sparse instrumentation, an anomaly nobody can explain. The first call is with someone who can discuss the detail.