Related productAvailable today
Solar Intelligence Platform
Physics-calibrated performance intelligence for solar fleets — every megawatt-hour of loss attributed to a cause.
Infrastructure
Architecture readyDistributed assets, centrally understood.
Distributed physical assets that report continuously and fail expensively.
The operating problem
- 01
Assets are geographically scattered, so physical inspection is the expensive default for answering any question.
- 02
Telemetry arrives from a dozen vendor systems that were never designed to be read together.
- 03
Failures are expensive and public, which pushes operators toward over-maintenance rather than accurate maintenance.
How Peryx applies
- 01
Vendor telemetry is normalised into one schema so assets can be compared across the estate.
- 02
Each asset carries its own model, so 'normal' is defined per asset rather than per fleet average.
- 03
Inspection is directed by modeled condition instead of by rotation.
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. Vendor normalisation is the piece that transfers most directly, and a scoped pilot is the next step.
Solar is the sector where this architecture has been proven against real operational data. If you operate infrastructure 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.