Predictive intelligence

Turn Building Data Into Early Operational Warning

A single comparable risk position per asset, built from telemetry, alarm behaviour and maintenance history, and ranked so a portfolio can be triaged consistently.

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The business problem

Every system reports differently, so nothing is comparable

One building reports chiller performance in supply temperature, another in approach. Alarm counts mean different things on different panels. Without a common scoring basis, a portfolio manager cannot say which of forty buildings carries the most operational risk this week.

No common basis for comparing asset riskAlarm volume mistaken for severityCriticality not reflected in prioritisationPortfolio triage done by reputation rather than data

The IntelliGrid approach

One score, weighted by what matters operationally

Each asset is scored against its own baseline, then weighted by criticality and service impact. The result is comparable across asset classes and buildings, so the highest-consequence risk surfaces first regardless of which system detected it.

Per-asset baselines normalised to a comparable scoreCriticality and service impact weighted into rankingContributing signals shown so the score is explainablePortfolio-level ranking for triage and resourcing

Risk across a demo portfolio

Predictive intelligence dashboard showing asset risk scores and contributing signals

Interface shown with illustrative demo data.

Capabilities

What the engine produces

Risk score

A comparable figure per asset, refreshed as new data arrives.

Trend analysis

Direction and rate of change, not just the current position.

Failure likelihood

An indicative probability band over a defined horizon where history supports it.

Anomaly contribution

Which signals are driving the score, so it can be challenged.

Asset criticality

Consequence weighting from the asset register applied to raw severity.

Work order recommendation

A specific proposed intervention attached to the finding.

Portfolio risk ranking

Buildings and sites ordered by aggregate exposure.

Workflow

Scoring pipeline

Ingest Baseline Detect Score Weight Rank Recommend

Business benefits

Portfolio triage on a consistent basis Explainable scores that engineers can interrogate Consequence, not just severity, driving priority Capital cases supported by observed degradation Resourcing directed at genuine exposure