Your team captured four terabytes of LiDAR. Nobody has seen it whole.
No GPU. No downsampling. Deploy on your network or ours.
Send any popular point cloud format, including E57, LAS, LAZ and PLY. We render it whole and walk you through it in a free 90-day proof of concept.
Your sensors outgrew your software.
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.
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.
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.
Claims mean nothing without deployment evidence. Here is what Nuclideon delivers in production, today, for organisations with zero tolerance for vendor promises.
Full-resolution 3D scans of naval assets, rendered in real time on standard-issue hardware. Full data fidelity, streamed inside your classified network.
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 (now the Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development).
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.
Each product maps to a deployment scenario. Pick the path that matches your environment. Combine them if your organisation spans multiple.
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.
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.
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.
A customer-owned deployment of udCloud with all its features. Runs in your own cloud, on premise or air-gapped, with your security, your SSO and your own user management.
Six questions. Answered before you ask them.
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 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.
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 the investment you already made.
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.
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.
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. In offline mode there is no telemetry and no licence call-home. That is a mode you enable, not the default. No data leaves the boundary.
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.
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.
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.
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. Name withheld at customer's request.
Full resolution, no GPU, on hardware you already own.
Send the dataset that crashes your current viewer. We render it whole and walk you through it.
Unlimited Detail is the patented rendering engine behind every Nuclideon product.
Your GPU queue is 26 weeks. Memory prices are up 90%. NVIDIA shelved its professional line through 2028. That is not a shortage. That is a permanent reallocation. The architecture was already failing you before it happened.
Now available as an SDK
The capture pipeline improved by a decade. The delivery architecture did not move. Survey firms ration access to their best data because delivering it to thirty people costs thirty times what delivering it to one person costs.
Nuclideon