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PERYX.AI

Renewables

In discussion

Mixed-technology portfolios, one baseline.

Wind, hybrid, and storage assets under one operating picture.

The operating problem
  1. 01

    Wind, solar, and storage are reported in separate systems with incompatible definitions of availability and performance.

  2. 02

    Hybrid sites are settled as one connection point, but diagnosed as three unrelated asset classes.

  3. 03

    Storage degradation is tracked by cycle count rather than by observed capacity against duty.

How Peryx applies
  1. 01

    Each technology gets its own physics model; the portfolio gets one normalised performance layer above them.

  2. 02

    Curtailment, availability, and genuine underperformance are separated instead of blended into a single availability figure.

  3. 03

    Storage state of health is estimated from operating data rather than assumed from cycles.

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.

  1. Sensors

  2. Telemetry

  3. Physics model

  4. Digital twin

  5. Insights

  6. Recommendations

  7. Decisions

Where we actually are
In discussionIn active deployment conversations with operators.

In active conversation with operators running mixed portfolios, with the wind and storage models in development.

Solar is the sector where this architecture has been proven against real operational data. If you operate renewables 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.

Related productAvailable today

Solar Intelligence Platform

Physics-calibrated performance intelligence for solar fleets — every megawatt-hour of loss attributed to a cause.

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.