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Meet the Heuriva platform

A complete client-health intelligence engine built on heuristics and explainable AI.

3D behavioural clusters

Your Portfolio Forms Natural Behavioural Patterns

Customers don’t behave randomly — they form clusters based on usage, sentiment, support interactions and renewal posture.

Heuriva reveals these hidden patterns; going beyond simple R.A.G. colours to show the extreme cases and highlight which groups are stable, drifting, or trending toward risk.

It’s your entire customer base — revealed clearly, for the first time.

Semi-Supervised Machine Learning — Explained Simply

Heuriva doesn’t rely on labelled churn data. Instead, it learns the natural behavioural structure of your customer base using clustering and anomaly detection techniques.

This allows Heuriva to:

  • Detect early drift
  • Work even when churn data is sparse
  • Adapt as your customer base evolves

In practice, this means Heuriva supports your Client Managers in managing churn risk long before the client escalates.

Semi-supervised behaviour map
Explainability panel

Every Customer Receives a Clear, Explainable Narrative

Heuriva doesn’t just show risk — it explains why.

Narrative, plain-English summaries are generated from your actual behavioural data:

  • Which signals changed
  • How strongly they moved
  • Why it matters for revenue risk

It’s explainability built for Client Managers — not spreadsheet wizards.

Weighted Metrics: Not All Signals Matter Equally

Some customer metrics are powerful churn predictors (like support tickets or latency). Others are contextual. Heuriva lets you adjust the extent each metric's weight of influence carries, giving a far more realistic view of risk.

  • High-weight metrics → early churn indicators
  • Medium-weight metrics → behaviour context
  • Low-weight metrics → supportive signals

The result? A model that reflects the reality of your business.

Weighted metrics and health signals
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