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Four ways to get started

From a quick chat to hands-on code — there’s a path that fits how you work.

Whether you want a guided conversation, your own AI agent doing the work, a self-serve setup in your own environment, or a live demo with our team — pick the path that fits.

1
Instant
Ask Senzing

Chat with our AI assistant

Ask Senzing answers your questions and can send you a free evaluation license, delivered straight to your email. It’s connected to our MCP server so you get authoritative, Senzing-specific answers — not pre-scripted ones. You can even get working code examples. No forms, no wait.

The Ask Senzing chat widget is available on every page — look for it in the lower right corner.

Not sure what to ask? Start with your use case — fraud detection, KYC, MDM, sanctions screening — and Ask Senzing will take it from there. Or just ask for an eval license and it’ll send one to your email immediately.

Try prompts like:

› “Which platforms and databases does Senzing support?”
› “How does Senzing fit into our data architecture?”
› “What are common use cases for entity resolution?”
› “What ROI do organizations see with Senzing?”
2
Agentic
Use Senzing in Your AI Agent

Add the Senzing MCP Server to your agent

Already working in an MCP-capable assistant like Claude Code, GitHub Copilot, or Kiro? Add the Senzing MCP server, then tell your agent what you’d like done and where. It uses Senzing’s tools to map data, generate SDK code, and build reports — and the work runs locally, so the server never sees your data.

Our setup guide walks you through connecting it to your client.

Then just ask, in plain language. Try prompts like:

› “Send me an evaluation license.”
› “Convert this XML file to Senzing format.”
› “Analyze these files with Senzing and give me a report on the results.”
› “Install Senzing on my local macOS box.”
3
Self-serve
Run It Yourself with Quickstarts

From install to resolved entities in minutes

The Quickstart guides take you from install to resolved entities in minutes — no developer experience required. Set it up in whatever environment fits how you work: local on Linux or macOS, containerized, on AWS, or on Azure, with the database you already run.

Load the sample data and explore results interactively with tools like sz_explorer, or build on the SDK in Python, Java, or C# (with community-supported Rust and TypeScript).

You’ll need an evaluation license to try with more than 500 records.

4
Guided
Talk to the Team

Get a demo or a deeper technical conversation

Want a guided demo or a deeper conversation about architecture, scale and sizing, or whether Senzing fits your data? We’re easy to reach.

Not sure where to start?

Ask Senzing — our AI assistant will help you figure out the right path, answer your questions, and get you an evaluation license on the spot.