Data mesh, not a walled garden
Canopy supports integrating condition, asset and network data directly from the systems that own it. Canopy federates a single, queryable view across them.
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.
Interactive demonstration · scripted product answers
Offline demo only. A live Canopy deployment queries your organisation's approved asset data.
A clear, auditable model that turns network asset data into a shared basis for intervention decisions.
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 meshScore asset condition against relevant modifiers, retaining the drivers behind every result.
Output · HI 1–10 + driversConnect health to probability and consequence of failure, including monetised risk and known defect populations.
Output · risk + defect evidenceBuild budget and health planned scenarios, compare them against budget and risk targets, and export the results into forward work and reports.
Output · scenario planning + insightsCanopy supports integrating condition, asset and network data directly from the systems that own it. Canopy federates a single, queryable view across them.
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.
Build and compare intervention scenarios driven by configurable strategies. Stress-test budget and risk-appetite trade-offs and see how each scenario reshapes the plan before it reaches an investment committee and field work.
Canopy supports the questions that sit between asset data, operations and investment planning.
Per-asset health and risk scoring with driver attribution, integrated with defect information and the forward works schedule.
Reports along with powerful three dimensional mapping and visualisation of asset health, risk and planned scenario outputs.
Compare interventions against prebuilt and customisable strategies across budgets and risk appetite.
Use plain language to interrogate asset cohorts and explain the decision logic.
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.
Bring a representative asset cohort. We will walk through the model, the evidence it produces and how it could fit your workflow.