Most organisations working with large-scale 3D spatial data hit the same wall. The datasets are too big to render in real time. Teams downsample, wait, or spend on hardware that still can't keep up.

Nuclideon removes all three constraints.

Our patented rendering engine runs on the CPU — the standard processor in every computer — not a dedicated GPU. It loads terabyte-scale data at full resolution, every time. And it runs on-premises, air-gapped, in the cloud, or disconnected — wherever the mission requires.

The platform serves defence, mining, survey, infrastructure, and maritime organisations through four components: udStream (desktop viewer), udCloud (browser-based sharing), udSDK (embeddable engine for existing systems), and udServer (enterprise data management).

The US Navy, Lockheed Martin, the Queensland Government, and 30,000+ Leica Jetstream end users have run this technology in production. This is not a roadmap. It is deployed.

Nuclideon was founded by the team that wrote the code, designed the architecture, and delivered the deployments. The IP and patents were acquired outright from Euclideon. There is no knowledge gap, no third-party dependency, and no licensing chain between the customer and the people who support the product.

If your organisation is sitting on massive spatial datasets and struggling to make them usable — or if you need real-time 3D in environments where connectivity and GPU hardware aren’t available — we should talk.

Send us a message or visit nuclideon.com

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