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Real-time entity resolution · on AWS

Know who’s who before it matters.

Senzing brings real-time identity intelligence to AWS — resolving people, organizations, and relationships across your messiest data with no training and no tuning. It runs inside your own AWS account, so your data never leaves.

Start free on AWS Marketplace →See how it works

Available in AWS Marketplace · Free evaluation edition (250k records) · Deploys in minutes, runs in your account

<1sBoots — no training, no tuning
BillionsRecords on a single node
Sub-secondResolution on live data
50+Languages & character sets
ExplainableFull audit trail on every match
What Senzing is

A library in your code — not another platform to stand up.

Senzing is real-time entity resolution delivered as an SDK you embed in Python, Java, C#, Rust, or Node.js. It’s an engine, not a SaaS platform or a data-warehouse feature — accurate the moment you deploy.

Real-time & explainable

Sub-second resolution on live streams, with a full audit trail behind every decision — why, why-not, and how.

No training, no tuning

Principle-based and preconfigured for people and organizations. No rules to write, no data-science team to staff.

Runs in your AWS account

Deployed in your own VPC — your data never leaves your infrastructure. Air-gapped deployment supported.

Scales tens → billions

From a laptop to billions of records on a single node, self-correcting as new data arrives with Entity Centric Learning™.

Runs natively on AWS

Deployed inside your AWS account, in minutes.

Subscribe on AWS Marketplace and run Senzing entirely in your own environment — no data ever flows back to Senzing. A typical architecture:

YOUR AWS ACCOUNT · VPC · data never leavesData sourcesAmazon S3 · KafkaRDS · files · appsSenzing SDKAmazon EC2 / EKSor Fargate / Lambdaresolve · no tuningResolved storeAmazon AuroraPostgreSQL / RDSDownstreamNeptune · BedrockOpenSearch · QuickSightfraud · C360 · graphs · AI
YOUR AWS ACCOUNT · VPC · data never leaves
  1. Data sourcesAmazon S3 · KafkaRDS · files · apps
  2. Senzing SDKAmazon EC2 / EKSor Fargate / Lambdaresolve · no tuning
  3. Resolved storeAmazon AuroraPostgreSQL / RDS
  4. DownstreamNeptune · BedrockOpenSearch · QuickSightfraud · C360 · graphs · AI
🔒 Data sovereignty: everything runs in your VPC — no data ever flows to Senzing, Inc. Air-gapped deployment supported.
Who uses it

One engine, every identity problem.

Fraud · AML / KYC

Real-time detection and sanctions screening with an audit trail regulators accept.

Customer 360 · MDM

One trusted view of each customer across every system, with far fewer false positives.

Public sector · Investigations

Explainable relationship detection for fraud and investigations — proven at agency scale.

Agentic AI · Knowledge graphs

Clean, resolved identity data — the foundation RAG, agents, and graphs actually need.

Insurance · Risk

Standardize entity resolution across acquisitions; connect policies, claims, and records.

Sanctions · Perpetual vetting

Continuous, real-time screening across 50+ languages and character sets.

Proof

Independently validated. Publicly referenceable.

226%
ROI over 3 years
$19.7M
Net present value
<6mo
Payback period
95%
Less data-engineer time per new source
Verisk · Insurance

1.6 billion records resolved to 420 million unique identities, with sub-second search — initial AWS deployment handled by a 5-person team, with no rules or tuning.

USCIS · Government

Explainable fraud analytics across applicants and their representatives, running on Amazon EKS — new data sources added in hours, not a week.

Financial figures from a commissioned Forrester Total Economic Impact™ study (2025); results are for a composite organization based on interviews with four Senzing customers.

Built for agentic AI

The identity layer your agents are missing.

Agents act fast on whatever data they’re given — so bad identity data becomes bad decisions at machine speed. Senzing is the real-time, explainable resolution layer underneath them. The Senzing MCP Server is a certified Kiro power — the first entity-resolution power for AWS’s agentic IDE.

Model Context ProtocolCertified Kiro powerCold-starts <1sExplainable, not a black boxFeeds RAG & agents
# In Kiro — one click, then:
agent > profile & map new source → Senzing
agent > resolve entities // no tuning
agent > ask: “who is related to Acme Ltd?”
✓ resolved · full evidence chain attached
Deploy on AWS

Stand up entity resolution in minutes.

Subscribe on AWS Marketplace, run the free evaluation edition on your own data (250k source records), and see resolved, explainable identities the same day.

Get it on AWS Marketplace →Talk to our team