Decentralized document identity, verifiable lifecycle tracking, and AI‑powered cross‑organizational semantic intelligence.
Start with verifiable document identity. Upgrade to cross-organizational AI intelligence when you're ready.
Decentralized document identity and verifiable lifecycle tracking. Give every document a global ID and cryptographic proof of every event.
What's included
Everything in Core — plus AI-powered semantic summaries, cross-organizational intelligence, and a central analytics layer that understands what your documents are about.
Everything in Core, plus
Documents stay local. Only trust evidence and controlled semantic signals are shared centrally. The center never sees raw content.
Full text, files, attachments, scans. Never centralized. Stays in the originating DMS.
12 metadata blocks (identity, classification, retention, security, provenance) and signed lifecycle events. VeriDocs Core.
AI-generated, anonymized, max 300 chars. Structured topic tags, purpose, urgency, keywords. Per-document sensitivity controls. VeriDocs AI.
From document upload to cross-organizational intelligence — in four steps.
User uploads document in their DMS. SDK AI agent extracts text and generates a structured semantic summary via LLM.
NER pipeline scans for PII and replaces with tokens. User reviews and validates the AI-generated summary before submission.
SDK assigns a document DID, issues a signed DocumentCreated VC with metadata and summary, and submits to the Central Register.
Register indexes the summary in a vector database. AI continuously analyzes aggregated summaries — topics, clusters, warnings, friction.
Every event is a signed W3C Verifiable Credential. Tamper-evident. Cross-institutionally verifiable.
Capabilities that are possible only with centralized semantic summaries. None of these exist within a single DMS or with metadata alone.
Real-time visualization of rising topics across all nodes. Detect that energy-related cases surged 340% across 8 offices this week.
VeriDocs AIAI groups semantically similar cases from different organizations — 400 documents under different labels are actually one systemic problem.
VeriDocs AIDetect weak signals before crisis. Same complaint type in 12 nodes within 10 days triggers a cross-institutional alert.
VeriDocs AIIdentify which specific regulations generate repeated complaints, delays, and institutional back-and-forth. Evidence-based policy feedback.
VeriDocs AIDiscover when multiple nodes work on the same issue independently. Reduce duplicated effort across organizational boundaries.
VeriDocs AIAI-generated periodic situational awareness reports. Replaces anecdotal management reporting with data-driven cross-sector intelligence.
VeriDocs AIAI recommends the right department or handler based on semantic similarity with historical patterns. 30–50% faster first-time routing.
Core + AIFind related documents across all organizations by meaning, not just keywords. Vector-powered cross-node knowledge discovery.
VeriDocs AIFlag documents stuck in transit, unusual routing patterns, missing events, or compliance violations. Real-time monitoring across all nodes.
Core + AIThree open-source repositories. Deploy together or integrate individually.
Central registry for organization DIDs, document DID resolution, VC event aggregation. In AI edition: LLM/RAG engine, vector database, analytics pipeline.
Integration library + AI agent for DMS platforms. DID creation, VC signing, metadata packaging. In AI edition: text extraction, LLM routing, NER anonymization.
Reference DMS with full VeriDocs integration. Document upload, metadata forms. In AI edition: AI summary panel, intelligence dashboard, similar documents widget.
Built on the same open standards underpinning the European Digital Identity Wallet.
Any multi-node environment where documents cross organizational boundaries.
VeriDocs is open source under the MIT license. Deploy on-premises, integrate with existing systems, or use OpenDMS as a starting point. Start with Core, upgrade to AI when ready.