AI governance and privacy platform that detects PII, masks prompts and audits LLM traffic
The unified context layer for enterprise data
Stage
Not given
Not given
Founded
Not given
2023
Based in
ES
US
Pricing model
Paid
Freemium
Pricing
Starter: €150/month or €120/month (annual). Growth: €250/month. Business: €400/month or €320/month (annual). Scale: €700/month. Enterprise: €1,250/month. Enterprise+: €2,500/month. Volume-based pricing available for >5M requests/month. 14-day free trial available. Additional requests: €15 per extra
Free plan: 10,000 credits per month. Flex plan: $125/month with 50,000 credits included, then $25 per 10,000 credits. Flex Plus: $375/month with 200,000 credits included, then $75 per 40,000 credits. Enterprise: custom credits with negotiated rates. Credits consumed based on Episode size: 1 credit p
Key features
Multi-provider LLM routing for OpenAI, Anthropic, Mistral, Groq, and OpenAI-compatible endpoints
Immutable blockchain-certified audit logs via iCommunity Blockchain Services
Governance dashboard with visibility into AI usage, policy enforcement, and audit logs
Privacy-first governed chat interface for enterprise teams
Output scanning to detect and anonymize sensitive data in model responses
Context optimization reducing token usage by up to 57% on logs and tool outputs
Exportable DPO reports in PDF for compliance documentation
RAG protection with Privaro Ingest and Retrieval Guard with per-chunk access control
Sub-200ms context retrieval at scale
Temporal context graphs with point-in-time queries
What makes it different
Blockchain-certified immutable audit trail provides legally admissible evidence for compliance and regulatory audits
Works with any LLM provider through unified multi-provider routing without vendor lock-in
Reduces LLM costs through context optimization that compresses logs and outputs before model inference
Built specifically for regulated industries with pre-configured use cases for legal, healthcare, and fintech
No integration friction with endpoint-level proxy requiring only an endpoint change in LLM calls
Reduces token use by up to 90% compared to traditional retrieval
Temporal context graphs that track how business information changes over time
Enterprise-scale Context Lake supporting millions of graphs