Data mesh, not a data lake
Canopy supports integrating condition, asset and network data directly from the systems that own it. Canopy federates a single, queryable view across them.
Asset health and management · CNAIM / CBRM Know the risk on every asset.
DEMO
Know the risk on every asset.
Defend every decision.
Canopy is an asset-health and management model for electrical networks. It translates condition data into traceable health, risk and intervention evidence that engineers and investment teams can act on.
Ask Canopy
Interactive demonstration · scripted product answers
Offline demo only. A live Canopy deployment queries your organisation's approved asset data.
How it works
From condition evidence to a defensible investment plan.
A clear, auditable model that turns network asset data into a shared basis for intervention decisions.
- 01
Connect via data mesh
Federate data and observations from EAM, GIS, historian and field systems in place — each source keeps ownership of its data, Canopy composes it into one queryable asset model.
Sources · EAM · GIS · data mesh - 02
Compute Health Index
Score asset condition against relevant modifiers, retaining the drivers behind every result.
Output · HI 1–10 + drivers - 03
Translate risk
Connect health to probability and consequence of failure, including monetised risk and known defect populations.
Output · risk + defect evidence - 04
Plan and justify
Build condition, risk and defect-based scenarios, compare them against budget and risk targets, and export the evidence trail for review.
Output · scenario comparison + rationale
Open APIs
Health scores, risk evidence, defect data and scenario outputs are all available through open, documented APIs, so Canopy composes with your existing GIS, EAM, reporting and BI tools rather than replacing them.
Scenario planning & analytics
Build and compare intervention scenarios driven by condition trends, monetised risk or known defect populations. Stress-test budget and risk-appetite trade-offs and see how each scenario reshapes the plan before it reaches an investment committee.
Capabilities
Asset intelligence that stays connected to the evidence.
Canopy supports the questions that sit between asset data, operations and investment planning.
Health Index scoring
Per-asset health scoring with driver attribution, traceable to underlying condition evidence.
Monetised risk
Consequence dimensions combined into understandable asset-level risk evidence.
Intervention scenarios
Compare refurbish, replace and run-to-fail options across budgets and risk appetite.
Conversational analysis
Use plain language to interrogate asset cohorts and explain the decision logic.
Designed for decisionsClarity in the field,
Clarity in the field,
Clarity in the boardroom.
Traceable Every result should show the evidence, assumptions and model version behind it.
Comparable Bring assets, cohorts, scenarios and investment choices onto a common basis.
Practical Give engineers a faster path from model output to intervention rationale.
Resource library
Explore the Canopy approach.
Download an introduction, technical explanation or concise product data sheet. We will send the chosen file after a short enquiry.
Canopy whitepaper
An introduction to a more traceable approach to asset-health and investment decisions.
Health, risk and intervention
How asset condition evidence informs health scoring, risk and planning.
Canopy at a glance
A concise view of the model, its core capabilities and intended users.
Start a conversation
Talk to an engineer →See Canopy against your asset register.
Bring a representative asset cohort. We will walk through the model, the evidence it produces and how it could fit your workflow.