100 ms

Streaming resolution latency

100 % In-VPC

Private cloud or air-gapped deployment

Zero Tuning

Day-one accuracy out of the box

4 +

Entity relationship states for explainable decisions

Entity Resolution Built for Real-Time Identity Intelligence

Resolve fragmented records, uncover hidden relationships, and maintain a trusted identity layer across your enterprise data.

Principle-based entity resolution
Non-obvious relationship discovery
Dynamic self-correction
Private, real-time deployment

Blind Spots in Siloed Data Cost Millions in Undetected Risk.

Brittle Deterministic Rules

Legacy MDM tools rely on thousands of hand-coded IF/THEN rules that break when data formats drift.

Overnight Batch Latency

By the time duplicate accounts or flagged actors are detected, funds may have moved.

Shallow Deduplication

Basic matching misses multi-degree connections, shared credentials, and synthetic networks across systems.

01 STEP

Data Ingestion & Normalization

Connect real-time and historical data from enterprise systems while keeping sensitive data within your environment.

02 STEP

Principle-Based Entity Resolution

Resolve fragmented records using principle-based matching without customer-specific model training or complex rules.

03 STEP

Relationship Evaluation & Discovery

Classify identities and uncover hidden connections across people, organizations, devices, and transactions.

04 STEP

Dynamic Identity Intelligence

Continuously update entity relationships and activate trusted identity data across downstream systems.

INDUSTRIES WE SERVE

Proven Impact in High-Stakes Operations.

Frequently asked questions

Deduplication only looks for exact or fuzzy matches between individual records. Entity Resolution evaluates all attributes simultaneously to determine if different records represent the same real-world person or company, even when names, addresses, or identifiers vary or change over time.

Beyond identifying matching profiles, the engine maps connections between distinct entities based on shared attributes, such as common addresses, phone numbers, corporate officers, or devices. This uncovers hidden networks, fraud rings, and conflicts of interest in real time.

No. The engine is principle based and works out of the box. It applies proven mathematical rules of human and corporate identity behavior, eliminating the need to spend months labeling training data or maintaining thousands of fragile IF/THEN statements.

Your data never leaves your environment. DataXWorks deploys natively inside your private VPC, on-premise servers, or air-gapped data centers as an embedded SDK or microservice. No PII or telemetry is ever transmitted to an external cloud.

How does the system handle real-time streaming data versus historical batches?
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Talk with our solutions architects to see how our embedded entity resolution platform turns disconnected data into an authoritative, real-time knowledge graph.

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