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PERYX.AI
Aerial view of wind turbines and solar arrays across farmland

Renewable energy intelligence

Find the losses your monitoring system cannot explain.

Peryx works out what each asset in your portfolio should have produced, explains the gap, and ranks what deserves attention. Deployed today on solar.

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What Peryx does

  1. 01

    Find

    Where each asset is producing less than it should.

  2. 02

    Explain

    Why the gap happened, with the evidence behind it.

  3. 03

    Prioritise

    What to fix first, ranked by what it is costing you.

Product overview

Watch Peryx find a loss in about a minute.

peryx.ai · Product overview

What Peryx solves

Three problems operators bring us.

For renewable-energy operators who already have monitoring and still cannot explain the gap between what a plant should produce and what it did.

The fleet is down on budget and nobody can say why.

Reports show the shortfall. They cannot tell you whether it came from the weather, a slow decline, or a fault someone could have fixed. The gap gets discussed every month and closed by nobody.

Performance arguments come down to whose spreadsheet wins.

A maintenance contract dispute, a warranty claim, or an availability penalty needs evidence tied to specific equipment over a specific window. Threshold alarms and portal exports are not that.

The numbers have to survive someone else's review.

Lenders, investors, and boards ask why generation missed forecast. An answer that cannot be traced back to operating evidence does not hold up in the meeting.

What you get

Six things that arrive on your desk.

The platform is AI built on engineering context. This is what it produces.

A ranked list of what is costing you generation

Every material shortfall, ordered by what it costs to leave it alone.

The cause behind each shortfall, with evidence

Named causes and the affected equipment, with the operating data an engineer can check.

Degradation flagged while it is still gradual

Drift identified before it crosses the threshold that would have raised an alarm.

One operating picture across a mixed fleet

Different suppliers, sites, and technologies measured on the same terms.

Reporting that holds up outside your team

Performance positions traceable to operating evidence, for lenders, owners, and contractual reviews.

Findings inside the tools you already use

Output lands in your work-management and reporting systems, not only in another portal.

Industries

Built for the whole renewable portfolio.

Deployed today on solar. Wind, storage, grid, and wider infrastructure follow.

Fits your stack

Works with what you already run.

Peryx is a layer above your existing systems, not a replacement for them.

Reads from
The control, monitoring, and data systems you already run, including supplier portals and weather data.
Writes to
Your work-management, ticketing, and reporting systems, so a finding becomes a job without rekeying.
Replaces
Nothing. Peryx sits above your existing stack. No migration and no new field hardware to start.
Handles
Equipment from many suppliers as the normal case. Every source is checked and brought into one consistent view before it is used.
Protects
Per-tenant isolation with nothing pooled across customers, encryption in transit and at rest, role-scoped access, and audit logging.

Getting started

Two to four weeks to a validated first site.

A new plant goes from first connection to live findings in weeks, not months. No new equipment and no heavy lifting on your side.

  1. 1Stage 1

    Connect

    Peryx connects to the systems already running at the site.

  2. 2Stage 2

    Configure

    Each asset is set up with what it should be producing.

  3. 3Stage 3

    Validate

    First findings are checked against site records before release.

  4. 4Stage 4

    Go live

    Findings flow into the tools your team already uses.

In the product

What a finding looks like.

Each finding shows how far an asset is from what it should be producing, the evidence behind it, and a suggested next step for your team.

Plant analysis
Synthetic sample

Expected vs measured

Site performance

Review
Expected Measured

Finding

Localised underperformance

Output is materially below what this site should be producing.

Evidence
Operating data showing the gap
Suggested next step
Review affected equipment
Evidence attached
Illustrative product composition using synthetic data. No customer results are shown.

Evaluation questions

What teams ask before sharing plant data.

Need a more specific answer? Ask an engineer.

Bring one plant and one question.

We’ll show you what Peryx would find across your portfolio, and how quickly a first site can go live.

Book a technical walkthrough