Vizuna vs Valence
Vizuna vs Valence
Valence is a broad AI coaching platform for enterprise leadership. Vizuna is a focused trust measurement system built on a clear trust framework.
How is Vizuna different from Valence? Vizuna measures professional trust through source-protected colleague reflections using the Trust Equation (Credibility, Reliability, Safety, Selflessness), while Valence focuses on ai leadership coaching. Vizuna provides continuous, private measurement rather than periodic reviews.
- Built on the Trust Equation (CRSS) — a focused framework for trust
- Source-protected colleague reflections provide objective external signal, not just AI coaching
- Lighter and more focused — designed for faster trust pattern visibility
Side-by-side comparison
| Dimension | Valence | Vizuna |
|---|---|---|
| Focus | Broad leadership coaching + team diagnostics | Trust measurement + targeted actions |
| Trust framework | Implicit (personality + team dynamics) | Explicit (Trust Equation — CRSS dimensions) |
| Data source | Self-report + personality assessments | Source-protected colleague reflections + self-assessments |
| Time to value | Weeks–months (enterprise rollout) | Depends on rollout and participation |
| Output | AI coaching conversations | Priority actions + trust trend |
| Target | Enterprise CHROs + L&D | Guided cohorts and leadership teams |
Privacy & governance
No names. No ranking. No attribution.
Vizuna is designed to keep organisation-facing reporting aggregate and source-protected, without turning trust into surveillance.
No names. No ranking.
Organisation-facing reporting is designed to reduce attribution risk and avoid linking trends back to one person.
Aggregated, not attributed.
Signals appear only after combining multiple colleague perspectives.
Patterns, not people.
The system is built to prevent monitoring or employee ranking.
Built-in privacy constraint
Built for aggregate, source-protected reporting.
Vizuna is designed so org-facing analytics focus on patterns across multiple reflections rather than exposing who said what.
Signal submitted
Colleague reflection recorded
Aggregated
Combined with multiple others
Pattern only
Individual signals stripped away
Aggregate output
Only aggregate patterns reach the surface
Ready to measure trust more directly than AI leadership coaching?