Customer data ingestion
Pulls in documents, databases, and systems from sources like SharePoint, Jira/Confluence, Git, email, and files.
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- Versioned artefacts track superseded filings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
Scenarios in practice
Written for these sectors
Financial Institutions
Financial 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.
Law enforcement
Operational neutrality. Enter1Nine stitches case, intelligence, and operational datasets so analysts spend time on judgement, not reconciliation.
Intelligence
Sovereign, air-gap-capable schema management with no vendor-trained models touching classified holdings unless you authorise it.
Defence
Varied coalition data, multiple classification ladders, and allied formats normalised into traversable tactical knowledge.
Government
Programme-level fragmentation becomes a governed shared layer, without ripping out departmental systems wholesale.
Insurance
Claims narratives, underwriting files, and the structural complexity of Lloyd's syndicates, joined as evidence for AI and investigators alike.
Enterprise
For CIOs, CDOs, and AIOps leaders who have exhausted data lake optimism, ontology-first grounding is what makes AI portfolios dependable.
Legal
Contract intelligence, precedent search, privilege-safe deployment, and lawyer-in-the-loop review.
Energy & utilities
Asset-linked documents, regulatory evidence packages, and operational knowledge that outlasts shift changes.
Public sector
Legislation and case consistency, transparency workflows, and explainable retrieval for accountable institutions.
Financial services
KYC and AML intelligence, MiFID suitability evidence, regulatory change tracking, and DORA-ready operational proof.
Pharma & life sciences
Submission hubs, pharmacovigilance signals, GMP document control, and Part 11 / Annex 11 trails.
Maritime & shipping
Fleet certificates and PSC readiness, MRV and FuelEU evidence, and multi-flag compliance documentation.
Deployed together or one at a time
We've been up all night. To give you a good nights sleep.
Bring us one workflow you cannot afford to get wrong. We'll tell you honestly whether AI belongs in it.