Completeness asks what is present
Imagine a profile with every requested field filled in: founding date, revenue, customers, funding and team experience. It is complete relative to that form. That does not tell you whether the information is current or whether the claims are supported.
Confidence asks what supports it
Now imagine that those fields all come from a single company presentation. A second profile might contain fewer fields, but each observation is supported by current documentation and independent corroboration. Those profiles have different evidence characteristics even if one looks more finished.
Both need definitions
A completeness percentage requires a denominator: which fields, for which stage and research scope? A confidence label requires an explicit basis: source quality, freshness, consistency and corroboration. Without those definitions, both labels risk creating an impression of precision without the information needed to assess it.
The ZORAA principle
The proposed framework treats evidence coverage and confidence as separate dimensions. Neither should be confused with startup quality or likelihood of success. The sample labels on this website illustrate the distinction; they are not validated measurements.