OpenLedger uses AI agents to automatically match code evidence with privacy disclosures and enforce user consent in real-time. No more privacy theater.
Automatically scans your codebase and generates evidence of data usage patterns
Multi-agent AI system classifies data usage and generates plain-language disclosures
Users can toggle data usage on/off instantly with signed consent receipts
A complete transparency pipeline from code to consent
Static analysis extracts API calls, data fields, and usage patterns
Gradient AI agents classify data usage and generate disclosures
Continuous monitoring detects when code changes without policy updates
Runtime gates enforce user consent with signed audit receipts
OpenLedger solves the fundamental problem of privacy theater in fintech. Instead of manually written privacy policies that may not match reality, we provide automated, evidence-backed transparency.
Clear, evidence-backed explanations of how your data is used, with instant control over that usage.
Automated compliance without hiring legal teams. Evidence-backed policies that actually match your code.
Signed receipts and code evidence provide verifiable proof that disclosed practices match implementation.