Seetruu reads your documents from SharePoint, Documentum, OpenText, and more, then uses AI to generate the exact Veeva Vault configuration you need and flag every gap in your existing Vault, before a single document is migrated.
Reads documents from every ECM you already use
Most teams don't know what Vault configuration they need until documents are already broken. Or they spend months in workshops to find out.
Teams inherit thousands of legacy documents with unknown metadata. Designing a Veeva Vault config from scratch takes months of manual analysis.
Source documents require document types, lifecycle states, or metadata fields that simply don't exist in the target Vault. These gaps are discovered only after migration fails.
Configuration workshops are expensive, slow, and rely on consultants who don't know your actual document landscape.
Gaps discovered post-migration mean costly vault reconfigurations, data cleanup, and compliance re-validation.
Seetruu's AI scans your existing repositories, learns your document landscape, and produces two precision outputs. All before any migration begins.
Seetruu connects to your existing ECMs via secure connectors. It reads document content, metadata, folder structures, and existing classification schemes.
Language models analyse document content, extract implicit metadata, infer document types, classify lifecycles, and build a complete understanding of what Veeva will need to store and manage your content.
Seetruu delivers a generated Vault configuration covering document types, lifecycles, metadata fields and object types, plus a gap analysis report flagging every mismatch between your documents and your existing Vault.
See exactly what Seetruu produces: a machine-readable Vault configuration and a prioritised gap report, ready to action.
Built for regulated industries where a misconfigured Vault costs months to fix.
AI produces a complete, importable Veeva Vault configuration covering document types, subtypes, lifecycles, states, metadata fields, object types, and picklists, derived directly from your source documents.
Point Seetruu at your current Vault and your source repository simultaneously. It cross-references every document against your live configuration and flags mismatches by severity: Critical, Warning, or Info.
When source documents lack metadata or use non-standard taxonomy, Seetruu reads the document content itself to infer the correct Vault document type, lifecycle state, and required fields.
Each gap flag comes with a precise remediation instruction: the exact Vault Admin configuration change needed, the affected document count, and the downstream risk if left unresolved.
Every analysis decision is logged with the source evidence, AI confidence score, and a tamper-evident hash, ready for validation documentation and regulatory inspection.
Re-run gap analysis after each Vault configuration update to see gaps close in real-time. Seetruu tracks progress and confirms when a configuration change resolves a flagged issue.
Seetruu's AI layer is model-agnostic. For organisations that cannot send documents to external APIs, it runs entirely on-premises using Google Gemini deployed via Google Distributed Cloud or Vertex AI Private, keeping all document processing within your own infrastructure and meeting air-gapped compliance requirements.
Native read connectors for every major ECM. No data movement, no staging environments required.
Connect your source ECM, point Seetruu at your existing Vault, and have a complete configuration blueprint and gap report within hours, not months.