If the result cannot survive review, it is not enough.
BivectorAI evidence is designed to support customer decisions without exposing the protected core. The useful unit is a bounded, reproducible customer-visible result.
The problem you already have
A vendor demo is not acceptance evidence.
Engineering, security, compliance, procurement and program review need artifacts they can inspect after the meeting.
Methodology disputes can erase the value of a good result.
The evidence package has to make the input, output, scope and test condition explicit enough that review does not collapse into an argument about hidden assumptions.
What BivectorAI actually hands you
Contract evidence
Declared input schema, output schema, scope and limitations.
Execution evidence
Customer-visible verdicts, reports, rankings, traces or acceptance artifacts.
Test evidence
Regression, benchmark or acceptance results that can be shared without exposing protected implementation.
Commercial evidence
Reference ID, product boundary, deployment mode and current licensing path.
What we will never ask you for
Evidence review does not require disclosure of protected implementation, and Defense evidence does not create a public Defense API.