
Ingest & Index
Every behavioral signal is ingested, normalized, and indexed into a living behavioral matrix.
ChurnVision decodes the invisible patterns in workforce behavior — predicting retention outcomes before signals become departures.
Each instrument is a functional micro-UI designed to surface intelligence — not decorate a viewport.
Multi-dimensional risk scoring that surfaces churn probability, employee health vitality, and retention potential — all in a single diagnostic pass.
Behavioral pattern analysis from workforce data — structured uploads, HRIS exports, and engagement metrics.
AI-recommended retention playbooks with human-in-the-loop approval — the right action, to the right person, at the right time.
ML-powered perturbation analysis that models how specific changes to satisfaction, workload, or tenure would shift an individual’s churn trajectory.
Twelve-month ELTV projection comparing baseline attrition losses against treatment-adjusted recovery — executive-grade financial clarity.
Segment-level risk stratification that scans every department, surfaces concentration hotspots, and prioritizes intervention budgets.
Natural-language interface backed by RAG and tool-calling agents — ask a question about any employee and receive structured, actionable intelligence.
Retention starts with noticing change early—and giving managers enough context to have a useful, human conversation.

Every behavioral signal is ingested, normalized, and indexed into a living behavioral matrix.

Continuous scanning identifies subtle shifts before they become departures.

Intelligence becomes timely action, giving managers context for the right conversation.
Every customer receives a tailored proposal based on the scope, deployment, and support their retention program needs.