Agentic investigation workspace for professionals working with large document collections
Open protocol for AI agent identity, DNS-anchored and post-quantum native, governed by a nonprofit
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
MX
Pricing model
Not given
Open source
Pricing
Free with pay-as-you-go option. Pro plan: $49/month with 20 credits. Team plan: $99 per user per month with 20 credits per user. Enterprise: Custom pricing.
Free to use. L0 credentials issued today. L1 enabled in agent.bar demonstration. L2 and L3 specified but not yet issued.
Key features
1 billion context window to analyze very large document sets
Complete-record analysis without retrieval blind spots
Shared data room for team collaboration and investigation
Agent-native artifacts for reports, spreadsheets, and presentations
Exact-page citations linking findings to source documents
Preserve and display conflicting information from sources
Zero document retention for temporary tasks
HIPAA-ready workflows for healthcare investigations
W3C Verifiable Credentials (AID format)
Four trust levels (L0-L3) with progressive verification
DNS anchoring starting at L1
ML-DSA-65 + Ed25519 composite signatures
ARIA AP for signed requests and receipts
Append-only Trust Ledger with credential lifecycle events
Revocation capability with signed status lists
Public REST API verification endpoint
TypeScript SDK for credential verification
What makes it different
Complete-record reasoning across all uploaded files rather than retrieval-based Q&A with blind spots
Professional-grade evidence standards with citations preserved through investigation
Zero document retention and no use of customer data for AI model training
Persistent Projects for recurring investigations of the same documents
Flexible investigation criteria to control what to find and how to present results
Post-quantum native from launch, not a migration plan
Governed by nonprofit to prevent capture
Complements existing protocols without replacing them