Kineviz Desktop brings the AI workspace for connected data analysis to your computer.

Kineviz Desktop is an AI workspace for connected data analysis that runs on your own computer. It ships with an embedded graph database, includes Kineviz Agent — an AI agent built for investigative work that shows every step — and provides in-app sandboxes and tutorials covering everything from first steps to advanced analytics. It is available as a free download from kineviz.com.

With Kineviz Desktop, you drag and drop a spreadsheet, CSV, or even a whole folder, and have an explorable graph in minutes — built by Kineviz Agent, through a mapping you define in Graph Composer, or with visual transforms (extract, shortcut, link, merge). The embedded KoreDB database persists whatever is on your canvas, and Kineviz Agent can also write data straight to it, bypassing the canvas. No separate database setup is required. If you'd rather learn first, in-app sandboxes walk you through the workflow before you load your own data.

Yes — Kineviz Desktop ships with a graph database (KoreDB) built in, so you can analyze connected data locally without standing up a server. Drop in a spreadsheet or folder and it becomes a graph in minutes. And if you already run BigQuery Graph, Neo4j, or another graph source, Kineviz Desktop connects directly and analyzes the data in place.

Kineviz Desktop is a strong option if you want local graph analysis plus an AI agent. It includes its own embedded graph database for file-based work, but it also connects directly to Neo4j, BigQuery Graph, and other graph sources so you can analyze existing databases in place — adding conversational, AI-assisted investigation on top rather than replacing your database.

Yes — your data and your analysis workspace stay on your computer. Kineviz Desktop includes Kineviz Agent, an AI agent built for investigative work on connected data. Ask it to find connections, trace paths, or surface what's unusual in your graph. The AI model itself runs as a cloud service; organizations that need the model on their own infrastructure can host it locally with Kineviz Enterprise. It moves fast, but you stay in control: every step it takes is visible, and nothing goes into a report that you can't verify with your own eyes.

Kineviz Desktop includes in-app sandboxes and tutorials that cover everything from first steps to advanced analytics — open a sandbox and see how each technique works on live data. When you're ready, analyzing your own data is as simple as dragging and dropping a CSV, turning it into a graph with Kineviz Agent, Graph Composer, or visual transforms, and saving the result to the embedded database.

Yes. If you're already running Google BigQuery Graph, Spanner Graph, PuppyGraph, UltipaGraph, Neo4j, or another graph or big data store, Kineviz Desktop connects directly and lets you analyze the data in place — no export or migration needed. For data that isn't in a graph database yet, Kineviz turns relational data, spreadsheets, CSVs, and folders of files into graphs in minutes — ask the agent, map them in Graph Composer, or use visual transforms — and the embedded KoreDB database keeps the result local.