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01 — Demo

Get a 30-min personalized demo

See Kineviz running on a use case relevant to your team. A real engineer will walk you through it, not a sales rep.

Book a time

02 — Sales

Talk to our team about your use case

Share what you're working on and we'll follow up within one business day. No canned pitch, no pressure.

hello@kineviz.com

03 — Community

Join our Discord community

Get product updates, connect with other Kineviz users, and chat directly with our team in real time.

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Built for analysts

No-code graph exploration that data teams use daily.

Connects to your data

Native integrations with Neo4j, Google BigQuery, Spanner, and more.

Trusted in regulated industries

From global banks to government agencies investigating financial crime.

See How Your Team Can Investigate Connected Data Faster

Share what you're working on, and we'll set up a personalized walkthrough. You'll hear back from one of our team members, typically within one business day. No canned pitch, no pressure.

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Case Studies

From counter-terrorism to medicine, journalism to manufacturing.

View all case studies

Using network visualization to deplatform an extremist group from social media

A multinational law enforcement agency found whack-a-mole ineffective against extremist recruiters on social media. To disrupt the recruitment operation, the LEA needed to deplatform the entire network of extremist-affiliated accounts simultaneously.

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Visualizing Geospatial and Time Series Data for Law Enforcement

The Dutch police used Kineviz to transform OSINT data into dynamic geospatial maps and provide rapid visualization and graph analysis, revealing unexpected patterns in illegal drug production.

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Real-time big data threat detection in online gaming

When an online gaming platform needed to analyze a massive 40 million events per day, standard BI tools were overwhelmed—missing subtle signs of collusion and fraud. By integrating a real-time detection system with advanced big data analytics, they were able to quickly identify evolving threats and take action before it was too late.

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Fighting collusion in gaming using graph

A horse racing regulator sought to create a faster, more effective workflow that its small team of investigators could use to tackle fraud, expose criminal networks, and strengthen data integrity. The most pressing focus was to examine instances of potential collusion, while maintaining high confidence in the accuracy of their findings.

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Frequently Asked Questions

How do I get a Kineviz or GraphXR demo?

You can book a 30-minute personalized demo directly from the Kineviz contact page. A real engineer — not a sales rep — walks you through Kineviz running on a use case relevant to your team. You can also share what you're working on via the contact form to get a personalized walkthrough, with a response typically within one business day.

How do I contact Kineviz sales?

Email hello@kineviz.com with your use case and the Kineviz team will follow up within one business day — no canned pitch, no pressure. Alternatively, book a 30-minute engineer-led demo or join the Kineviz Discord community to get product updates and chat with the team in real time.

What data sources does Kineviz connect to?

Kineviz offers native integrations with Neo4j, Google BigQuery, Spanner, and more. It provides no-code graph exploration built for analysts, so data teams can investigate connected data daily without writing queries — and it's trusted in regulated industries, from global banks to government agencies investigating financial crime.

Who uses Kineviz for investigations?

Kineviz is used by law enforcement, financial institutions, and regulators across counter-terrorism, fraud, supply chain, customer 360/KYC, cybersecurity, and game analytics. Published case studies include a multinational law enforcement agency deplatforming an extremist network on social media, the Dutch police visualizing OSINT geospatial data on drug production, real-time threat detection across 40 million daily gaming events, and a horse racing regulator fighting collusion.