Nuclideon Full-resolution 3D on shipboard hardware.
Full-resolution 3D on shipboard hardware.
Three constraints every maritime 3D platform fails to solve.
Three constraints every maritime 3D platform fails to solve.
A vessel hull scan generates 40–80GB. A full port infrastructure survey produces 200GB+. A coastal LiDAR campaign covering 100km of shoreline hits 1TB before processing. Your sensors capture all of it. Your rendering tools load 10% of it. Your operators need to make structural, operational, and intelligence decisions on the other 90%.
GPU hardware costs more than most programs account for.
Enterprise GPU workstations cost $16,000–$20,000 per year in total cost of ownership: power, cooling, staffing, and idle capacity multiply the procurement cost. That figure compounds across every vessel and facility in your fleet. Moving to cloud GPU creates a problem that runs deeper than budget: cloud GPU doesn't work reliably at sea. The analyst who needs the data works from a shore-side approximation. The operator making decisions aboard the vessel never has it.
Decimation destroys what the survey captured.
Datasets at this scale exceed what current rendering tools handle at full resolution. Your analysts navigate 10% of what the sensor recorded — a subsampled approximation. The remaining 90% is discarded before the file opens. Structural defects, corrosion signatures, and intelligence features live in the data your current tools never load.
Classified networks cannot use cloud.
Shipboard classified networks permit zero external cloud connections. Every vendor that depends on cloud-hosted rendering hits the same disqualification point when shipboard or shore-facility accreditation requirements enter the evaluation. The architecture requires a network the environment prohibits. Most programmes discover this after procurement, not before.
Built for environments where every other option fails accreditation.
Built for environments where every other option fails accreditation.
The Unlimited Detail engine (US Patent No. 9842425) uses a search algorithm that finds the exact points your screen needs, frame by frame, on standard CPU. It loads what the current view requires: a 200TB dataset uses the same compute as a 2GB one. The rendering load scales with what's on screen, not the size of the dataset.
Full resolution on standard shipboard hardware.
The Unlimited Detail engine renders on the standard-issue laptop your crew carries today. There is no file-size ceiling: a 2GB capture and a 200TB coastal survey run at the same hardware requirement. The algorithm loads only what's in view.
Every point the sensor captured.
Every point the sensor captured reaches the analyst's screen. Vessel scans, port surveys, and offshore captures rendered at full sensor resolution — as the sensor delivered them.
Air-gapped by design.
udStream operates offline. Licence validation is local. All data stays on the device. It works where the network doesn't reach.
From vessel to port to open water. One rendering capability.
From vessel to port to open water. One rendering capability.
Full-resolution 3D digital twins of vessels on classified shipboard networks.
Compartments, hull structures, and topside geometry rendered at full sensor resolution on the standard-issue laptop your crew carries. udStream processes everything on the device. Data stays on the vessel. The US Navy runs it on classified, air-gapped networks. Lockheed Martin embeds it into their C2 systems via udSDK. Neither required new hardware to deploy it.
Above-water and below-water data in a single navigable environment.
Port infrastructure surveys, quay wall scans, and bathymetric point clouds fused into one 3D environment. Port authority teams and survey contractors access the same full-resolution dataset: field teams via udStream on standard laptops, remote stakeholders via a browser link through udCloud. Anyone with a browser link sees the full-resolution data. Clients see results during the campaign, not weeks after.
Multi-sensor survey data at full resolution, on delivery.
LiDAR, photogrammetry, and bathymetric point clouds from field campaigns rendered at full fidelity: the complete capture, not a processed approximation. Survey firms deliver via udCloud during the campaign. The client sees the full-resolution dataset before the vessel leaves the survey area.
Platform inspection data visualized on standard field hardware.
Offshore platform scans, pipeline surveys, and subsea infrastructure data rendered at full resolution on the field laptop at the platform. udStream runs entirely on the device: the hardware your engineer already carries. When bandwidth is available, shore-based teams access the same full-resolution data via udCloud.
Two classified programmes. Neither cleared another vendor.
Two classified programmes. Neither cleared another vendor.
US Navy. Lockheed Martin. Each sent their data. Nuclideon rendered it at full resolution on their hardware. Each signed.
The US Navy cleared it for classified, air-gapped deployment.
The US Navy selected Nuclideon for classified 3D geospatial visualization on air-gapped networks. Naval assets and operational environments render on standard government-issue hardware at full sensor resolution. udStream processes everything on the device. The data never leaves the network.
Lockheed Martin embedded the engine into live C2 infrastructure.
Lockheed Martin integrated the Unlimited Detail engine into their command and control infrastructure via udSDK. The compiled DLL runs unlimited-scale point cloud rendering inside existing C2 and ISR platforms on standard CPU: the hardware already in the C2 stack.
30,000+ production users validated the engine.
Leica Geosystems licensed the Unlimited Detail engine to power their JetStream product line for over a decade. 30,000+ survey professionals ran production workloads on this code inside a Tier 1 Hexagon product. When Euclideon went into administration in 2024, the JetStream product lost access to that engine. Nuclideon is the original engineering team. The engine never changed hands. The company around it did.
Your programme runs the same evaluation path.
Your programme runs the same evaluation path.
The US Navy ran a proof of concept on their own hardware, in their own security environment. Lockheed Martin did the same. Your evaluation follows the same path: your most trusted engineer, your own dataset, your own network. Your data stays in your environment. Your engineer runs the evaluation.
Every architectural decision assumes the network does not exist.
Every architectural decision assumes the network does not exist.
Your programme operates in environments where connectivity is a liability. The table below answers what your security team will ask.
Three products. One maritime capability no competitor delivers.
Three products. One maritime capability no competitor delivers.
Each product maps to a deployment model. Pick the path that matches your maritime environment. Combine them if your programme spans multiple deployment models.
udStream
Shipboard networks, shore facilities, and offshore platforms render at full sensor resolution on the hardware your crew carries. The US Navy runs udStream on classified, air-gapped networks: the environment that disqualifies every cloud-first and GPU-dependent platform.
- → Full-resolution rendering on standard-issue laptops
- → Air-gapped deployment
- → CPU-native rendering
- → Multi-sensor data fusion
- → Measurement, annotation, and analysis tools
udCloud
Port authority teams, survey firms, and distributed maritime stakeholders access full-resolution data through a browser. Clients see survey results during the campaign, not weeks after.
- → Browser-based 3D streaming
- → Low-bandwidth delivery
- → Multi-user collaboration
- → Flexible hosting (private or public cloud)
- → Zero client-side installation
udSDK
Embed maritime 3D rendering into naval C2 systems, maritime operational platforms, and port management software. Your engineering team integrates the compiled DLL. Both parties protect their core IP.
- → Compiled DLL with clean API
- → C2, simulation, and maritime platform integration
- → CPU-native rendering pipeline
- → Air-gapped deployment support
- → Direct engineering support from the team that wrote the code
Every major 3D visualization platform made the same architectural choice. We made the opposite one.
Every major 3D visualization platform made the same architectural choice. We made the opposite one.
GPU-dependent platforms were built for environments where power budgets are unconstrained and classified accreditation is not in scope. Shipboard and shore-facility naval environments are the inverse of those assumptions. GPU workstations cannot pass shipboard weight and power budgets. They cannot clear classified network accreditation. At $16,000–$20,000 per year per unit in lifecycle cost, the cost compounds across every vessel and facility in a fleet.
Cloud-dependent platforms require connectivity. Shipboard classified networks permit zero external cloud uplinks. Offshore platforms operate at 2Mbps satellite bandwidth on a clear day. A 4TB survey dataset sits months out of reach. Every vendor offering scalable 3D visualization encounters the same disqualification when the conversation reaches shipboard or shore-facility accreditation: the architecture depends on a network that does not exist in those environments.
Decimation-dependent platforms reduce your data to fit the tool. The structural defects, corrosion signatures, and intelligence features your sensor captured survive as raw scan data: until the visualization tool subsamples them before the file opens. Your analysts make decisions on an approximation.
Nuclideon's search algorithm works in the opposite direction. It finds the exact points each screen pixel needs, frame by frame, using only CPU. The result is full resolution on the hardware your network permits, in the environments where every other option fails the requirements stage before deployment begins.
| Requirement | GPU-dependent platforms | Cloud-dependent platforms | Nuclideon |
|---|---|---|---|
| Shipboard deployment | ✗ Hardware restrictions | ✗ No connectivity | ✓ |
| Classified network | ✗ Fails accreditation | ✗ Cloud blocked | ✓ |
| Full-resolution data | ✗ Decimation required | ✗ Subsampling required | ✓ |
| Standard hardware | ✗ $16K–$20K/yr per unit | ✗ Requires cloud GPU | ✓ |
| Air-gapped operation | Partial | ✗ Cloud-only | ✓ |
Send us your hardest dataset. We run it on your hardware, in your security environment, on your network.
Send us your hardest dataset. We run it on your hardware, in your security environment, on your network.
Your most trusted engineer runs the proof of concept against your own data, on your own hardware, in your own security environment. The US Navy started with a proof of concept. Lockheed Martin did the same. Your evaluation follows the same path.