Nuclideon Frequently asked questions
What is Nuclideon?
Nuclideon develops the Unlimited Detail engine, a patented CPU-native point cloud search system that renders datasets above 200TB at full resolution in real time, with no GPU required or used. The company was founded in August 2025 by the engineering team that built the engine, and holds the IP and patents outright.
What happened to Euclideon?
Euclideon, the company that commercialised the engine, entered administration in February 2024. In August 2025 Paul Fox and Kristian Wares, with the engineering team, acquired the assets, cleared the debt and incorporated Nuclideon.
Do I need a GPU to render point clouds?
No. Instead of pushing geometry through a GPU graphics pipeline, the Unlimited Detail engine uses a search algorithm that finds only the points each pixel needs, running entirely on CPU. Render cost is fixed to screen resolution, not dataset size. The floor spec is a 4-core CPU with 8GB RAM and an SSD; integrated graphics handle display output only.
How large a point cloud can be rendered in real time?
The Unlimited Detail engine has demonstrated rendering above 200TB with no file-size ceiling, on a multi-core CPU with 8GB RAM. Render cost scales with screen resolution, not dataset size: the engine loads the points each pixel needs plus the index levels required to find them, so bandwidth and compute grow far more slowly than the data, not in proportion to it.
Can point cloud software run air-gapped or offline?
Yes. udStream can run fully offline in an air-gapped configuration: no telemetry, no licence call-home, local licence validation. That is a mode you enable, not the default, and the US Navy runs it that way on classified networks on standard government-issue hardware today. udServer brings the same browser-based streaming to an air-gapped network, deployed inside your own boundary.
What are udStream, udCloud, udServer and udSDK, and how do they relate?
One engine, four products. udStream is a desktop application that opens the full dataset on the hardware you carry. udCloud runs the same engine in the browser: rendering happens on the client CPU via WebAssembly, and only the points the current view needs travel over the network, so bandwidth tracks the screen and grows far more slowly than the dataset. There is no server-side rendering. udServer is a customer-owned deployment of udCloud with all its features, in your own cloud, on premise or air-gapped, with your own security, SSO and user management. udSDK embeds the engine inside your own platform as a compiled library. Pick the one that matches your environment, or combine them.
What file formats are supported?
Nuclideon ingests LAS, LAZ, E57, PLY, PTS, XYZ, and proprietary formats from many scanners including RIEGL. Datasets convert once to the UDS streaming format; after that they are never tiled, meshed, or re-processed again.
What hardware do I need?
For running udStream and converting datasets to UDS, the minimum is a 4-core CPU, 8GB RAM, and an SSD, with integrated graphics for display output only, no dedicated GPU. For larger datasets, multi-source fusion, or faster conversion, an 8-core CPU with 16GB RAM is recommended. udStream runs on Windows, macOS, and Linux. Viewing in udCloud needs only a modern browser.
How accurate are measurements?
Measurements run against every point the sensor captured, not a tiled or subsampled copy. Nuclideon does not introduce error at the rendering layer: a Leica ScanStation captured at plus or minus 3mm is measured at plus or minus 3mm. The accuracy your instrument delivers is the accuracy your deliverable reflects.
Does Nuclideon replace Esri, Hexagon or Trimble?
No. Nuclideon is not a replacement for your GIS, BIM, or asset management tools. It solves the problem they can't: rendering and streaming massive point cloud datasets at full resolution, on commodity hardware, at any scale. udSDK embeds directly into your current systems. udStream and udCloud sit alongside them. Your existing workflows stay intact. We extend the investment you already made.
How do I evaluate it?
Send us your hardest dataset. We render it at full resolution on standard hardware and walk you through the result. The proof of concept is free. Evaluation runs on your data, your hardware, and your network, with a direct reply from the CEO or CTO.
How much does it cost?
udSDK is licensed per end-user seat, from $85 to $150 per seat per year depending on volume, with minimum annual contract values from $10,000. Air-gapped deployments add 15%. The full tier table is on the pricing page, and the TCO calculator models the total against building in-house. udStream is priced per named user per year: Studio $3,000, Analyst $900, Previewer free. udCloud and udServer are priced on request.
Operate with all your Data, not a sample.
Operate with all your Data, not a sample.