ENTITY INTELLIGENCE
CROSS-SOURCE ENTITY RESOLUTION AT SCALE
Unify fragmented entity data across 40+ authoritative sources into a single, normalized identity graph. Match, merge, and disambiguate entities in real time.
OVERVIEW
One entity. One record. Every source.
Compliance teams waste hours reconciling entity data scattered across sanctions lists, corporate registries, beneficial ownership databases, and PEP datasets. IRIS resolves this by ingesting, normalizing, and linking entities across every source into a unified graph.
Each entity receives a deterministic Naralin ID. Fuzzy matching handles transliteration, aliases, and partial records. The result: a single, auditable entity record that can be queried via API or inspected in LENS.
ENTITY INTELLIGENCE
HOW IT WORKS
[ DATA INGESTION ]
Ingest from 40+ authoritative sources continuously.
IRIS pulls from sanctions lists, corporate registries, leak databases, PEP databases, beneficial ownership records, government debarment feeds, and more. Sources are monitored and re-ingested automatically when upstream data changes.
[ ENTITY RESOLUTION ]
Fuzzy matching across scripts, aliases, and partial records.
Phonetic algorithms, transliteration-aware tokenization, and configurable similarity thresholds link entities across naming conventions. "Владимир" and "Vladimir" resolve to the same entity. Shell structures and layered ownership are traversed automatically.
[ RISK SCORING ]
Composite risk scoring across 8 dimensions.
PRISM evaluates each entity across sanctions presence, PEP status, jurisdiction risk, debarment records, offshore leak appearances, network proximity, shell indicators, and corporate status. Each dimension contributes a weighted component to a 0–100 composite score.
[ INTELLIGENCE OUTPUT ]
Structured, auditable results in under 200ms.
A single API call to POST /v1/entity/lookup returns the resolved entity, risk score, tier classification, matched sanctions, PEP flags, source count, and confidence level. Every field is traceable to its upstream source for audit purposes.
IRIS ENGINE
CAPABILITIES
P01
MULTI-SOURCE INGESTION
Automated ingestion from sanctions lists, corporate registries, leak databases, beneficial ownership records, and 500+ additional sources. New sources onboarded in hours.
P02
FUZZY RESOLUTION
Phonetic, transliteration-aware, and token-level matching. Handles Cyrillic, Arabic, CJK scripts. Configurable similarity thresholds per use case.
P03
IDENTITY GRAPH
Entities linked across sources by shared identifiers, addresses, and ownership chains. Graph traversal exposes hidden relationships and shell structures.
P04
REAL-TIME UPDATES
Continuous monitoring of upstream sources. When a sanctions list updates, affected entities are re-scored and alerts are pushed within minutes.
ENTITY INTELLIGENCE
SOLUTIONS
[ DATA INTEGRATION AND FUSION ]
Consolidate fragmented watchlists into one query layer.
Instead of maintaining separate integrations for individual sanctions and debarment lists, query a single normalized endpoint. IRIS handles source updates, schema differences, and deduplication automatically. Over 40 authoritative sources are continuously monitored and ingested into a unified data pipeline.
[ ALIAS AND TRANSLITERATION ]
Resolve entities across scripts, languages, and naming conventions.
An entity listed as "Владимир" on one list and "Vladimir" on another are automatically linked. Phonetic algorithms and script-aware tokenization handle edge cases that exact-match systems miss. The identity graph connects entities through shared identifiers, addresses, and ownership chains.
[ OWNERSHIP CHAIN ANALYSIS ]
Trace beneficial ownership through layered corporate structures.
IRIS captures and links corporate officers, shareholders, and registered agents across corporate registries, legal entity databases, and leak databases. Multi-hop traversal identifies ultimate beneficial owners behind nested shell entities. Flagged nodes are surfaced with full provenance chains for audit.