Benchmark privacy
Pytheus shows how you compare to peers without ever exposing another organization's data.
Last updated September 22, 2026
The Pytheus Index lets you see how your performance compares to peers in your sector and size band. That comparison is privacy-preserving by design. You see how you stack up against an aggregate, never against an identifiable organization.
How comparison stays private
When Pytheus shows a cohort comparison, it compares your performance to pooled aggregates, not to any single company's record. The data behind those aggregates stays inside each tenant. You learn where you sit relative to the group, and no one in the group learns anything about you. Cohorts below a minimum sample are suppressed, and the extremes are withheld, so small cohorts cannot expose their members.
This is why a peer comparison shows a delta, a performance difference, rather than a gap. A gap is the distance between your current and target maturity, which is internal to your program. A peer delta simply tells you whether you are ahead of or behind the cohort. One is a goal you set. The other is a reference point.
What you see and do not see
You see your position against a pooled cohort for your sector and size.
You do not see another organization's scores, inputs, or identity.
They do not see yours.
A peer delta is context, not a target. Being above the cohort does not mean a compliance-required capability is where it needs to be. Set targets from criticality, not from the crowd.
Benchmark privacy rests on the separation described in Tenant isolation and the suppression described in Privacy and suppression. For how raw data is held and removed, see Data protection.