01
Make the requirement testable.
Turn source text, technical standards, and deadlines into explicit product decisions.
Content Authenticity software.
Focused delivery for standards that generic product teams cannot safely simplify.
1
Concrete starting point inside this service area.
A provenance signal, not a truth verdict.
EU AI Act Article 50 requires providers of certain synthetic-content systems to mark outputs in a machine-readable, detectable way, and requires deployers of deepfake-generating systems to disclose their artificial origin — obligations the Commission's guidelines confirm apply from 2 August 2026. C2PA Content Credentials are the leading technical mechanism for that signal, but the standard is explicit that a valid credential is provenance evidence, not a truth verdict.
Building a verification API around that distinction means returning structured evidence — credential presence, manifest validity, signer trust, provenance gaps — rather than a binary “real or fake” label, and pairing it with a documented review policy for KYC, publication or moderation workflows so a validator result feeds a human decision instead of pretending to replace one.
How Content Authenticity becomes working software.
Three decisions keep the project grounded in operations from the first workshop onward.
02
Fit the systems already in place.
Map owners, data sources, approvals, and failure paths before choosing the software shape.
03
Ship evidence with the feature.
Include the operational trail, documentation, and maintainable architecture the requirement demands.
Start with the requirement on your desk.
Each area is scoped around a named buyer problem, then designed outward to cover its systems.
Turn the difficult part into the first milestone.
If content authenticity software is on your roadmap, describe what you run today and where the requirement gets stuck.