Terralyn Analytics

Platform / Risk Engine

Compound risk scoring that's explainable.

Every risk score includes confidence intervals, explainable drivers, and full data provenance. No black boxes. No false precision. Just defensible numbers.

How It Works

Three layers of risk intelligence.

01

Asset-Level Risk

Each asset is scored individually based on age, condition, replacement cost, maintenance history, and criticality to operations.

02

Environmental Amplifiers

Real-time weather data, flood zones, elevation, and seasonal patterns modify base risk scores using documented multipliers.

03

Compound Interactions

When multiple risk factors converge — aging HVAC + incoming storm + poor drainage — the engine identifies cascading failure potential.

Governance

Built for audit, not just analytics.

Confidence Intervals

Every prediction reports uncertainty bounds — not a single number pretending to be precise.

Explainable Drivers

Each risk score comes with a ranked list of contributing factors, so stakeholders understand why an asset is flagged.

Data Provenance

Full traceability from raw data source to final score. Every input, weight, and calculation is documented.

Audit Trail

All model runs, parameter changes, and decision recommendations are logged with timestamps.

Deterministic Core

We use targeted ML where it adds clear value — for pattern detection and anomaly identification. The core risk engine uses deterministic, reproducible logic.

See the risk engine in action.

We'll walk you through a real risk assessment with your facility type.

Request a Walkthrough