SUNURA product

One customer workspace for Article 50 transparency operations.

SUNURA helps teams turn scattered AI transparency decisions into repeatable workflows, accountable review, evidence capture, and exportable records.

Core workflow

Every SUNURA workflow follows the same practical pattern: classify the AI use case, configure the disclosure rule, capture operational evidence, and export an evidence pack.

1

Classify

Identify the Article 50 transparency area and the affected AI system, media item, or publication.

Use-case record

2

Configure rule

Set notice timing, language, visibility, reviewer ownership, exception handling, and customer responsibility notes.

Policy decision

3

Capture evidence

Record notice delivery, acknowledgement where needed, source status, reviewer decisions, privacy references, and retention evidence.

Hash-chain event

4

Export

Generate evidence reports, attestations, and evidence packs for internal review, procurement, legal review, or customer questions.

Evidence pack

Product modules

AI interaction disclosure

Create persistent notices, disclosure sessions, acknowledgement evidence, and first-interaction gate evidence.

Synthetic content labelling

Apply visible labels, watermark IDs, provenance metadata, verification receipts, and C2PA-compatible evidence where configured.

Biometric categorisation and emotion-recognition notices

Record customer-provided privacy references, controller details, retention references, notice text, and review status.

Deepfake and publication review

Classify manipulated or public-interest content and retain editorial decisions, exception rationale, and disclosure evidence.

Website and CMS integrations

Install notices through the connected WordPress plugin or JavaScript embeds for Webflow, Shopify themes, websites, and customer applications.

Evidence resources