Platform

Three surfaces. One loop.

A private employee experience, an intelligence layer that turns signals into evidence, and a console where leaders act — then show what changed.

Employee app

Mobile-first. Talk or type, keep it private, or contribute an anonymized signal after previewing exactly what's shared.

Signals become clusters with corroboration counts, evidence quality, confidence and suppression applied before release.

Emerging risks, opportunities, Missions, actions and guarded Q&A over aggregates. Drill into evidence, never into people.

Intelligence pipeline

The target production pipeline. In this demo, redaction runs as on-device heuristics and console intelligence is synthetic.

01
Capture
Voice or text in a private vault with minimal retention.
02
Consent
Nothing leaves the vault until the employee previews and approves.
03
Extract
Structured facts, category and context — not sentiment scores.
04
Redact
PII and quasi-identifiers removed; re-identification risk scored.
05
Cluster
Semantic grouping within one tenant only — no cross-tenant embeddings.
06
Corroborate
Independent observations deduplicated; evidence quality graded.
07
Explain
Observation, hypothesis and recommendation kept visibly separate.
08
Release gate
Only aggregates above the cohort threshold reach leaders.
09
Ask
Executive Q&A retrieves over approved aggregates only.
10
Measure
Actions tracked to outcomes and shared back to employees.

Workflows

Weekly signal review

Leaders scan emerging clusters, check corroboration, and promote credible themes to the action pipeline.

Mission sprint

A scoped question goes to eligible teams; responses aggregate only once the cohort threshold is met.

Close the loop

Each action records an outcome. Employees see a “You said / We changed” summary — never the source.