Define what you want to evaluate, generate a synthetic dataset, review the governed result, and continue into its Trust Passport and supporting evidence.

Step 1 of 4

01

EVALUATION OBJECTIVE

What do you want to prove?

Capture only the evaluation context needed for the pilot. Do not enter sensitive source records, credentials, or secrets.

USE CASE Select a workflow Development & testing Research workflow Analytics development Privacy-conscious data sharing Other evaluation

SUCCESS OBJECTIVE Select a success objective Validate synthetic data quality Reduce sensitive-data exposure Accelerate test & development data access Demonstrate governance & auditability Evaluate generation at required scale Validate deployment & integration readiness

Save objective & continue →

02

DATASET SETUP & GENERATION

Create the pilot dataset.

Generation uses the existing authenticated Aethelis workflow with validation, internal diagnostics, governance, provenance, Vault persistence, and a Trust Passport.

Open guided generation →

03

REVIEW EVIDENCE

Inspect the governed result.

Complete a generation to unlock the result review.

Jobs & results → Gate decisions → Vault evidence →

04

COMPLETE EVALUATION

Finish the pilot path.

Once a governed generation is complete, review the evidence and record the guided evaluation as complete.

Complete guided evaluation

Guided-pilot progress is stored in this browser for the current experience. Funnel events record step names and timestamps only; they do not collect dataset rows or sensitive source records.