AI governance and privacy platform that detects PII, masks prompts and audits LLM traffic
Connect your AI agent to App Store data
Stage
Not given
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Founded
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Based in
ES
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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 tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip
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
23 MCP tools for iOS app analysis
Keyword ranking history by storefront
Competitor tracking and keyword overlap inspection
Apple Ads campaign data integration
RevenueCat subscription and revenue snapshots
Read-only Apple Ads tools
Hosted MCP endpoint with remote access
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
Maintains separate data boundaries between sources to avoid false attribution
Separates missing ranks from measured drops in analysis
Connects paid and organic data with revenue context in one investigation