Attrition prediction

Production-Ready AI Solution

Workforce · Enterprise Solution

Attrition prediction

Flag flight risk before the resignation letter.

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Lumaara

Breww

LIVE AI ENGINE

Real-Time Execution Pipeline

Attrition prediction · Live Event Stream

STREAMING

STAGE 01INGEST

Enterprise Data

Lakehouse & APIs

STAGE 02ACTIVE

Breww AI Kernel

Multi-Agent Engine

STAGE 03ACTION

Automated Action

Low Latency SLA

EVENT MONITOR · WORKFORCE

ONLINE

[INGEST] Multi-source telemetry batch synced (2,480 items)

p99: 12.4ms

Throughput: 420 ev/s

Accuracy: 99.85%

ZERO-DRIFT SLA

Autonomous AI

2–5× Impact

Enterprise Guardrails

100% Policy Compliant

The problem

What we hear

By the time HR hears "I'm leaving," it's too late and too expensive to save.

Our approach

How we solve it

Attrition-risk models over HRIS, engagement, and performance signals with manager-facing insights (never a "who will quit" list).

Outcomes

Measured impact

Earlier and more human retention conversations
Better use of counter-offer budget
Fewer surprise resignations on key teams

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Performance analytics

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Talk to us

Bring attrition prediction into production.

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Attrition prediction

Attrition prediction · Live Event Stream

What we hear

How we solve it

Measured impact

Other Workforce use cases

Bring attrition prediction into production.

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