01
Entity Resolution API
Know who it isCanonicalize partial or ambiguous records while retaining alternate candidates.
Entity Intelligence
Turn fragmented records into connected, evidence-backed intelligence
Resolve identity, enrich facts, connect context, and monitor material changes in one governed workflow.
Canonical identity Evidence on every fact Suggestions remain reviewable
Resolved entity
Northstar Logistics Oy
4 sources · 18 accepted facts · 6 graph links
Identity resolvedConfidence 96%
ICanonical identityRegistry + domain + address
Resolved company0.96
Accepted
GVerified relationshipAccepted facts only
Parent group · FI0.92
Connected
SIntelligence suggestionEvidence-linked and reviewable
Account expansion signal0.81
Review
Resolved identityCandidates stay visible
Evidence-backed factsSource and freshness attached
Connected contextAccepted relationships only
Reviewable suggestionsNo silent decisions
One intelligence chain
Five capabilities that become stronger together.
Each layer preserves the evidence and decision state created before it, so downstream intelligence remains explainable.
02
Data Enrichment
Know the factsAdd accepted facts with provenance, observed time, freshness, and confidence.
03
Knowledge Graph
Know the contextConnect resolved entities through accepted relationships and shared facts.
04
Intelligence Suggestions
Know what to reviewPropose evidence-linked insights and next actions without turning them into silent decisions.
05
Alerts & Changes API
Know what changedCompare accepted snapshots and deliver material changes without losing evidence.
The published Entity Intelligence API v2.7 includes Alerts & Changes operations, generated SDK methods, and signed delivery workflows.
From records to intelligence
Stop asking every system to interpret fragmented data alone.
Entity Intelligence creates one governed interpretation that applications, analysts, and agents can use with the same evidence.
The same entity appears repeatedly
Duplicates and near-matches fragment history across systems.
A canonical entity preserves source records and alternate candidates.
Facts arrive without context
Values overwrite each other without evidence or relationship history.
Accepted facts remain traceable and connect into a shared graph.
Signals become opaque decisions
Teams cannot see what an automated recommendation was based on.
Suggestions link back to evidence and remain subject to policy or review.
The Entity Intelligence platform
Resolve, enrich, connect, and suggest in one governed model.
Start with the capability you need today and preserve a consistent identity and evidence model as the use case grows.
Explore the current APIEntity Resolution API
Match partial records to the most defensible canonical entity before any automation uses them.
- Names and identifiers
- Domains and addresses
- Alternatives retained
Evidence-aware Data Enrichment
Add missing facts through a provider-independent result contract.
- Field-level provenance
- Freshness and confidence
- Controlled acceptance
Knowledge Graph
Build connected context from resolved entities and accepted relationships.
- Stable entity IDs
- Evidence-linked edges
- Shared organizational context
Intelligence Suggestions
Surface explainable insights and next-step proposals for policy or human review.
- Evidence-linked reasoning
- Configurable review gates
- Accepted or rejected explicitly
Alerts & Changes API
Observe accepted entity snapshots and deliver only material changes.
- Evidence-backed before and after values
- Rules by severity and change type
- Retryable webhook and email delivery
One governed workflow
Resolve. Enrich. Connect. Suggest.
A visible path from incomplete input to connected context and a reviewable next step.
Resolve
Select the most defensible entity match and retain alternatives.
Identity · candidates · ambiguityEnrich
Retrieve facts and accept them through explicit evidence policy.
Facts · provenance · freshnessConnect
Link accepted entities, facts, and relationships into shared context.
Entities · relationships · graphSuggest
Generate evidence-linked proposals for policy or human review.
Insight · action · reviewBuilt for explainable operations
Give every team the same trusted entity context.
“Enrichment and graph context make segmentation and account signals easier to verify.”
“Entity IDs, accepted facts, and relationships stay stable as sources change.”
“Every operational proposal can be traced back to accepted evidence and policy.”
Build the first trusted intelligence chain on your own data.
Bring a representative set of fragmented records and the decision they need to support. We will map the resolution, enrichment, graph, and suggestion layers needed for the pilot.