Enterprise-grade content moderation with ML-powered classification, configurable policies, human-in-the-loop review, and immutable audit trails.
React Frontend
Rate Limiting, CORS, Auth
HuggingFace ML
Configurable Rules
{
"content": "Hello...",
"source": "demo"
}
{
"action": "allow",
"category_scores": {...}
}
{
"id": "e1000000-0000-...",
"control_id": "MOD-001",
"decision_id": "d0000000-...",
"automated_action": "block",
"category_scores": {
"toxicity": 0.92,
"hate": 0.95
},
"submission_hash": "sha256:a7f3b...",
"immutable": true,
"integrity_hash": "sha256:c9d2e..."
}
Art. 9, 13, 14, 15, 17
MAP, MEASURE, MANAGE, GOVERN
Clause 6, 8, 9
Art. 22, 35
CC6, CC7, CC8
112 nodes • 138 relationships • Neo4j Aura
Direct HTTP integration with JSON payloads
Native iOS/Android with offline queue
Pre/post-processing for LLM outputs
Event-driven notifications
Core moderation, policy engine, review queue, audit trail
Multi-language support, custom ML models, real-time streaming
Multi-tenant, SSO, advanced analytics, SLA dashboard
Enterprise-grade content moderation, ready for production
API reference, integration guides, and examples
proth1@gmail.com
MIT Open Source