Powered by RegSeal
Cryptographic proof of AI compliance. Search, verify, and trust.
111
Models Registered
9
Verified Attestations
5
Frameworks Covered
Three steps to verifiable compliance
Step 1
Fingerprint your AI model with a SHA-256 hash. Creates a unique, tamper-proof identity in the public registry.
Step 2
Run compliance assessments against EU AI Act, NIST AI RMF, ISO 42001, Colorado AI Act, and PQC frameworks.
Step 3
Receive a cryptographic attestation certificate. Anyone can independently verify your compliance status.
Find models by type
Regulatory frameworks covered
Latest models added to the registry
Machine learning model that predicts customer churn likelihood from behavioral, transactional, and engagement data to enable proactive retention campaigns.
Radiology image classification system for diagnostics, assisting radiologists in detecting anomalies in X-ray, CT, and MRI scans with 99.2% sensitivity.
Automated candidate evaluation system that scores resumes against job requirements, shortlists candidates, and generates structured interview guides.
Top verified models by compliance score
Create a tamper-proof record of your AI system in the public registry. Fingerprint registration is free. Full compliance assessment available with a RegSeal account.
National Institute of Standards & Technology AI Risk Management Framework
Real-time machine learning pipeline for transaction fraud scoring, processing millions of financial transactions daily with sub-50ms latency.
AI-powered content moderation and safety classification system for detecting harmful, toxic, and policy-violating content across text and images.
General natural language processing library for Node.js with tokenization, stemming, and classification.
Fraud Detection Pipeline v3
RegSeal Demo