For AI SaaS founders
Make your AI data practices provable.
TrustData checks how your product handles prompts, files, and customer data across GitHub, Vercel, Supabase, OpenAI, and Anthropic. Fix the gaps, publish the evidence, and keep it current.
Audit privately for free. Subscribe only to publish the profile, badge, and continuous monitoring.
The workflow
One path from your stack to buyer-ready proof.
Founder declarations define scope and flag contradictions. Only fresh technical evidence can make a badge control pass.
Connect the exact scope
Link the production domain, GitHub repository, deployed commit, Vercel project, Supabase project, and AI providers.
Collect observable evidence
Static analysis and read-only provider adapters inspect configuration without retaining customer data, secret values, or the complete repository.
Resolve concrete findings
Use plain-language explanations and copyable remediation, then rescan without granting TrustData repository write access.
Verify automatically
When all seven controls pass with fresh evidence and no blocking finding, the product becomes TrustData Verified automatically.
Publish and monitor
Activate the public matrix and dynamic badge; pushes, deployments, and provider refreshes keep the result current.
Evidence boundaries
What TrustData observes, and what it refuses to collect.
Retained
- Repository fingerprints, paths, and bounded references
- Provider configuration metadata
- Schema, policy, and integration names
- Strongly redacted control evidence
- Versioned public AI-provider policies
Never retained
- Reusable GitHub installation tokens
- Environment variable or secret values
- Customer records, prompts, or production content
- Unredacted detected secrets
- Complete repositories after scanning
Get your first technical result before you pay.
The complete private audit and remediation workspace are free. Founding products can activate public proof and monitoring for €29/month; the public price is €99/month.