Customer data ingestion
Pulls in documents, databases, and systems from sources like SharePoint, Jira/Confluence, Git, email, and files.
SharePoint, Jira, email, files, unified into one layer.
Two ways this gets used
Unstructured data intelligence
Turn PDFs, audio transcripts, filings, chats, and imagery metadata into queryable ontology members. Not a siloed RAG corpus, disconnected from transactional truth.
Enter1Nine ingestion turns documents into structured, queryable entities — not just searchable text. An analyst moves from a transactional anomaly straight to the evidence that explains it, without switching between systems.
- OCR plus layout-aware parsers feed structured classes automatically
- Versioned artefacts track superseded filings
- Graph queries unite structured KPIs with supporting source excerpts
Entity resolution at scale
Deterministic merges miss nuance. Semantic reasoning links records using institutional context, not just token similarity.
MDM spreadsheets can't capture beneficial ownership across shell hierarchies or transliterated identities. Knowledge graphs with adaptive schemas ingest full counterparty dossiers, then reconcile them against probabilistic certainty bands you control.
- Graph-native identity survivorship rules
- Regulatory lineage for why two records merged or split
- Downstream AML / fraud models ingest resolved entities — not guesswork snapshots
Written for these sectors
- SectorsPublic sectorLegislation and case consistency, transparency workflows, and explainable retrieval for accountable institutions.
- SectorsPolice, defence & intelligencePolice, defence and intelligence work runs on scattered records, partner formats and classification rules. KnowledgeHub joins them in one governed layer, on your own infrastructure, so analysts spend their time on judgement rather than reconciliation.
- SectorsFinancial institutionsFinancial institutions don't fail compliance because employees stop caring. They fail because the evidence that matters lives in seven systems that were never designed to talk to each other.
- SectorsPharma & life sciencesSubmission hubs, pharmacovigilance signals, GMP document control, and Part 11 / Annex 11 trails.
- SectorsEnergy & utilitiesAsset-linked documents, regulatory evidence packages, and operational knowledge that outlasts shift changes.
- SectorsIndustrial enterpriseIndustrial companies run on specifications, work instructions, maintenance history and supplier contracts spread across ERP, PLM, file shares and inboxes. KnowledgeHub makes that knowledge searchable and citable, without moving it out of the systems you trust.
Scenarios in practice
Deployed together or one at a time
Easy to start. Safe to stop.
The pilot runs at a fixed price: we map the workflow, deploy it in your environment and prove it on your own cases. Then you decide.
Fixed price · Fixed timeframe
- 01
Map the workflow
Two weeks with your people where we document what happens today, including the parts nobody wrote down.
- 02
Deploy in your environment
Inside your tenancy, on your data residency terms, with no exports and nothing leaving through the side door.
- 03
Prove it under audit
Controlled evaluation against your own cases with compliance and the process owner signing off before go-live.
- 04
Run in production
We stay on with retraining, reporting and ongoing oversight for as long as the workflow runs.
Fixed price, Fixed timeframe. 8–12 weeks pilot: Continue (Expand once you know it works) / Stop.