Nuclideon 
Your team captured four terabytes of LiDAR. Nobody has seen it whole.
Your team captured four terabytes of LiDAR. Nobody has seen it whole.
Your data is massive. Your tools are not.
Your data is massive. Your tools are not.
is what your analysts have been working from.
Traditional tools downsample, tile and decimate before rendering begins. Your analysts work from a fraction of what the sensor captured.
per GPU over a 5-year lifecycle.
Industry estimates put a GPU workstation at $80K to $100K over a five-year lifecycle. Power, cooling and staffing add to that, and none of it fits in a field kit or on a classified network.
to move your captured dataset to an analyst in the field.
At 2Mbps satellite bandwidth, those 4 terabytes sit six months away from anyone who needs them. Your classified network bans cloud transfers outright. GPU-dependent platforms need infrastructure your operating environment will never have.
Sensors get cheaper. Capture density increases with every product cycle. Your datasets grow, and your tools cannot keep up. They force you to cut the data to fit the tool.
The team that built unlimited-scale rendering, and then bought it back.
The team that built unlimited-scale rendering, and then bought it back.
Paul Fox, Nuclideon's CTO, and the development team, spent over a decade building a CPU-native algorithm that searches trillions of 3D points in real time and renders only what is visible on standard hardware. No GPU. No downsampling. No compromise on what the sensor captured.
Leica Geosystems licensed that engine to power their JetStream product line. 30,000+ users across the global survey industry ran on the Unlimited Detail engine. Production infrastructure for one of the largest geospatial companies on earth, running for close to a decade before the commercial relationship wound down.
The company that commercialised it, Euclideon, entered administration. Commercial execution broke down. The technology never stopped performing.
In August 2025, Paul Fox and Kristian Wares acquired the assets, cleared the debt, and incorporated Nuclideon. The engineering team that built the Unlimited Detail™ engine owns it again.
The team that built the technology rebuilt the company around it. Nuclideon contracted the US Navy and the Queensland Government in the first five months. The patents are granted. The customers are paying. The engine runs.
We made your hardware enough.
Nuclideon's patented Unlimited Detail™ engine searches your entire point cloud every frame, retrieving only the points visible at your current view. Rendering cost stays constant whether the dataset is 1 gigabyte or 200 terabytes. CPU-native. No graphics card.
Trusted where the stakes are highest.
Claims mean nothing without deployment evidence. Here is what Nuclideon delivers in production, today, for organisations with zero tolerance for vendor promises.
US Navy
Full-resolution 3D scans of naval assets, rendered in real time on standard-issue hardware. Full data fidelity, streamed inside your classified network.
Digital Earth: Queensland Geoscience Platform
171,000+ geoscience datasets from the Geological Survey of Queensland, navigable in a single 3D environment. Exploration geologists zoom from state-wide geophysics to individual borehole textures without switching tools. Built with UQ Sustainable Minerals Institute and the Department of Resources.
Leica Geosystems JetStream
Leica Geosystems embedded the Unlimited Detail engine into JetStream and shipped it to 30,000+ users across the global survey industry. The integration ran in production for close to a decade.
Three products. One engine that renders unlimited point clouds on standard CPUs.
Each product maps to a deployment scenario. Pick the path that matches your environment. Combine them if your organisation spans multiple.
udStream
Your experts make decisions on the full captured dataset, not a sample. On-premise, air-gapped, or offline, on the hardware they already carry. Collaborate together via udCloud on whatever device they can access.
- → Full-resolution rendering on standard CPUs
- → Offline and air-gapped deployment options
- → Measurement, annotation, and presentation tools
- → Multi-source data fusion for a single source of truth
- → Windows, macOS, Linux, and browser
- → Deploys on existing IT-approved hardware
- → ThinApp, Installer or browser deployments
udCloud
The same engine in a browser. Open a terabyte-scale dataset from a laptop, mark it up with your team, and share a view without shipping a file. Hosted in the region you choose. For on-premise or sovereign deployment, udServer gives you the same capability inside your own network.
- → Streams only the points you need. Bandwidth scales with your screen, not your dataset
- → Deploy on AWS, Azure, private cloud, or air-gapped classified networks. Same Docker image, same features
- → Multiple users navigate the same live dataset in real time, with annotations and measurements syncing across all participants
- → Role-based permissions to control who sees what
- → Browser access to udStream Web for shared review. No install.
- → Ingest terabytes of LiDAR, photogrammetry, and UAV data and distribute the background work to do deep analysis.
udSDK
The Unlimited Detail engine as a compiled library for approved platform partners. Leica Geosystems shipped it inside JetStream to 30,000+ users. Lockheed Martin integrated it into a C2/ISR system. If you build a GIS, digital twin or defence platform, ask us about partner access.
- → Our core IP stays protected while your platform gets unlimited-scale 3D rendering.
- → No GPU required. CPU rendering reduces hardware requirements across your entire stack
- → Datasets of any size, streamed as needed. Your customers never hit a scale ceiling
- → Proven in Unreal Engine, custom C++ platforms, and enterprise GIS systems
- → Air-gapped and classified deployment options. Same capability behind any security boundary
- → Direct engineering support from the team that built the engine
Six questions. Answered before you ask them.
Six questions. Answered before you ask them.
"If CPU rendering is so good, why does the entire industry run on GPUs?"
GPUs are exceptional at what they were built for: gaming, ML training, real-time graphics with polygon meshes. For those workloads, GPU rendering is the right answer.
Point cloud data is a different problem. Datasets run to terabytes, not triangles. The bottleneck is not shading. It is finding which points to shade. That is a search problem, and search is what CPUs do best.
Nuclideon's patented algorithm works exactly this way: spatial indexing and per-pixel search, running entirely on CPU. No GPU anywhere in the stack. Shipped to 30,000+ users via Leica. Running in US Navy classified environments today.
"Nuclideon is a small, new company. Can you support enterprise deployments?"
Nuclideon is new. The technology is not. The engine represents over a decade of R&D and more than $40 million in development, all of it complete before Nuclideon acquired the IP, patents, and codebase. Five of the original senior developers are shareholders and actively building the platform today.
The company runs on customer revenue, not investor cash. That is a deliberate choice: the previous company's commercial model ran ahead of demand. Nuclideon ships what customers are paying for, and the customers who were paying before administration resumed their contracts almost immediately after incorporation.
"We already have Esri / Hexagon / Trimble. Why do we need another platform?"
You don't. 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 your investment, not compete with it.
The platforms that embed the engine give their customers the capability first. That is the JetStream model, and udSDK exists to repeat it. In the meantime, udStream and udCloud serve the customers whose datasets cannot wait.
"What happened to Euclideon?"
The clue is in the name. Euclideon commercialised the engine and went into administration in 2024, a commercial failure, not a technology one. Nuclideon is the original engineering team: it acquired the assets, cleared the debt, and owns the engine and patents outright. Same technology, same people; new ownership, new commercial model.
"We need this in a classified / air-gapped / disconnected environment."
That is where we started. udStream was built for environments without public internet and no tolerance for data leaving the network. The cloud-connected version came second.
udServer deploys the same behind an air gap as udCloud runs on public cloud. Same features, same permissions model, same collaboration tools. The US Navy runs the engine on classified networks today. No call-home licensing (optional). No data leaves the boundary.
"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: it grows with the depth of the spatial index, far more slowly than the data itself.
Two costs disappear when you licence the engine. The GPU fleet: at 10,000 end users on a platform running udSDK, GPU infrastructure would cost $3.5M to $5.5M a year against $1.07M in udSDK seats, a 69 to 81% saving on hardware nobody buys. The build: writing and maintaining your own rendering engine costs more than licensing udSDK, modelled at 45.8% over three years on our TCO page. udStream seats are published: Studio $3,000, Analyst $900, Previewer free.
See it on your data before you commit to anything.
See it on your data before you commit to anything.
Nuclideon does not ask you to sign a contract based on a slide deck. We ask you to send us your hardest dataset. The one that crashes your current tools. The one your team has been working around for months.
We load it. We render it at full resolution on standard hardware. We walk you through the result. On your network if required.
The Proof-of-Concept Guarantee
Send us your dataset. The proof of concept is free. If it renders, you have the evidence you need to make the decision. No commitment until you have seen the result.
The US Navy and the Queensland Government ran the engine before Nuclideon existed. They stayed with it through Euclideon's administration and resumed their contracts with the new company within months of incorporation. Your proof of concept starts the same way theirs did: with your data, rendered whole.
Lab Director
US Navy
Your data doubles every two years. Your tools don't.
Your data doubles every two years. Your tools don't.
Full resolution, no GPU, on hardware you already own.
Don't accept a fraction. We show you everything.
Unlimited Detail is the patented rendering engine behind every Nuclideon product.