Kineviz are scientists, engineers, artists and problem-solvers, crafting solutions that allow you to transform complex data into valuable insights through visualization.

Founded in 2015, Kineviz was built on a foundation of technology and creativity. As our technology advances, our community expands, providing support to world-class businesses, agencies, and nonprofits while maintaining self-sustainability.

Explore their products: 

GraphXR

SeekerXR

SightXR

Future-proofing the planet, one precinct at a time.

Imagine a world where industrial precincts go beyond functionality. They’re resilient, dynamic ecosystems, thriving on innovation and championing sustainability.

​Our vision is to lead the digital transformation of the industrial sector – reducing the environmental impact of precincts; developing green supply chains; driving economic growth; and cultivating resilient, self-sustaining communities through relentless innovation.

​The implementation of our revolutionary Advanced Intelligence platform will play a pivotal role in this evolution.

Corporate data tends to be pushed to its limits when queried within the SQL ecosystem. Specifically, analyzing complex chains of data in SQL often requires multiple complex joins and sub-queries. Luckily, there are some types of databases that make navigating this data much more straightforward, namely, graph databases. Unfortunately, the complexity of setting up a graph database for such a use case can be quite a lift.

What if you could get the benefits of a graph database without the overhead? Turns out you can, with a powerful, performant combination of the graph query engine built by Puppygraph , and the enhanced graph visualization and analytics of the Kineviz GraphXR platform.

Puppygraph is the first and only real-time, zero-ETL graph query engine that transforms relational data into a graph model in under 10 minutes — without the cost, latency, or maintenance of traditional graph databases. It scales to petabytes, runs 10-hop queries in seconds, and eliminates the need for complex ETL processes — like loading relational data into a separate graph database. By letting you query SQL and other relational databases as a graph using Gremlin or Cypher, Puppygraph enables you to traverse data connections with graph query languages for more intuitive, efficient analysis. This approach minimizes performance bottlenecks and empowers faster, more streamlined exploration of supply chain data and the insights hidden within it.

Combining technologies from PuppyGraph and Kineviz gives you a clear, shared picture of what’s happening across your organisation.