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Renewable Intelligence

Available today

Explain the gap between expected and actual generation.

Peryx works out what each asset should produce, compares it with what it did, and turns the difference into findings your team can act on.

Who it's for

Three people, three different questions.

The same platform answers all three, because they are asking about the same gap from different sides.

Asset owners and investors

Protect the return on long-lived generation assets.

Today

Reporting says output was below budget. It does not say how much was weather and how much was a problem someone could have fixed.

With Peryx

Every shortfall explained and quantified, so the recoverable part is clearly separated from the part that was never recoverable.

Operations and maintenance teams

Keep a distributed portfolio running with a limited crew and limited site time.

Today

The work queue is built from alarms, ticket age, and whoever called last. Slow decline never raises an alarm at all.

With Peryx

A queue ordered by what each issue is costing, with the evidence attached, so every site visit is justified before it happens.

Asset and portfolio managers

Explain performance to lenders, investors, and contractors who will question it.

Today

Numbers are assembled by hand from several systems, which makes them slow to produce and hard to defend.

With Peryx

Every material figure linked to the operating evidence behind it.

Modules

Three capabilities. One operating picture.

Where you are losing output, why, and what to fix first.

  1. 01

    Performance intelligence

    See where each asset is producing less than it should, measured against what that specific asset is capable of.

  2. 02

    Loss attribution

    Understand why. Every material shortfall is explained and quantified, so teams know what deserves attention.

  3. 03

    Prioritised findings

    Act on what matters most. Issues arrive ranked by cost, with the evidence an engineer needs to verify them.

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.

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.

Versus standard monitoring

Both read the same data.

The difference is whether anything in the system knows what each asset was supposed to be doing.

  • What it tells you

    Standard monitoring

    What happened

    Peryx

    Why it happened, and what it is costing

  • Baseline

    Standard monitoring

    Nameplate ratings or a rolling average of recent behaviour

    Peryx

    What this specific asset should produce under the conditions it actually saw

  • Diagnostic context

    Standard monitoring

    Site-level summaries hide short or localised problems

    Peryx

    Enough detail kept to investigate properly

  • Loss attribution

    Standard monitoring

    One aggregate shortfall figure

    Peryx

    Separated into named causes and quantified independently

  • Detection

    Standard monitoring

    Alarms at fixed limits, which slow decline never reaches

    Peryx

    Catches decline while it is still slow

  • Mixed portfolios

    Standard monitoring

    One portal per supplier, none of which agree on what normal looks like

    Peryx

    Suppliers, sites, and technologies in one operating picture

  • Output

    Standard monitoring

    A dashboard someone has to remember to open

    Peryx

    Ranked findings with evidence, delivered into your existing tools

Bring the anomaly nobody can explain.

The first conversation is about your assets, your data, and the question your current systems cannot answer.

Talk to engineering