One unit. Any surface. Any angle. Learns while it works.
GPU-native swarm units that traverse real geometry — not approximated floor plans. Built for environments that defeat every other system on the market.
Every major autonomous system projects 3D environments onto 2D floor plans. Walls, curves, overhead structures, and inverted surfaces are simply unreachable. The real world is none of those things.
Current robots execute predefined scripts. They cannot read a blueprint and determine what is a fastener, what is welded, and what needs to be done in what order. Every task requires manual programming.
Engineering teams have detailed 3D models of every environment and assembly. Autonomous systems can’t ingest them. That gap costs months of custom integration work before a robot touches the real world.
Feed the swarm a car chassis CAD model and the available parts. It parses the assembly sequence, assigns roles across units, and executes — fastening bolts, positioning components, verifying torque. No human programming per model variant.
A mining truck is overheating. The swarm detects the thermal condition, reasons that airflow reduces heat, and coordinates multiple units as directed fans. No predefined response. No human dispatch. The swarm improvises from understanding.
VOXARN ingests a blueprint and builds a semantic understanding of the work — which features are fasteners, which joints are welded, which surfaces need treatment. The model becomes the work order. No hand-coded waypoints. No custom integration.
Given parsed intent and available units, the swarm builds a distributed work plan autonomously. Roles are assigned. Dependencies are respected. If a unit fails or conditions change, the plan adapts in real time without human intervention.
Units reach the work surface, apply the right tool and force, and verify completion before moving on. Every deployment builds training signal — the swarm that runs your environment in twelve months is measurably better than the one that started.
Current automation executes instructions. It doesn’t understand work. It navigates approximations of environments. It can’t read a blueprint and figure out what needs to happen. VOXARN can.
| Current generation | VOXARN | |
|---|---|---|
| SURFACE RANGE | Floor-plane only. Ramps at reduced confidence. Walls, ceilings, and curved surfaces are not navigable. | Any surface at any angle — walls, curves, inverted surfaces. Full geometric fidelity from the actual structure. |
| UNIT INTERFACE | Fixed hardware geometry. Each unit is designed for one surface type. Multi-surface deployment requires multiple hardware configurations. | Conformable architecture. Brushless DC drive and servo-actuated contact surfaces adapt to whatever geometry the unit encounters. |
| UNIT BEHAVIOUR | Homogeneous fleet. Every unit runs identical logic. One unit fails — nothing compensates. | Specialized roles, dynamic coordination. Units divide labour and compensate for failure in real time without manual intervention. |
| ENVIRONMENT INPUT | Sensor-mapped during deployment. Weeks of integration before a unit touches the real environment. | Direct from your existing engineering models. The structure your team already has becomes the traversal map. |
| FIELD IMPROVEMENT | Static from deployment. Performance on day one equals performance on day three hundred. | Continuous improvement through operation. Field time builds capability specific to your environment. |
| FLEET SCALABILITY | Fixed architecture. Adding or replacing a unit typically requires downtime and system reconfiguration. | Hot-swap capable. Add a unit — it joins immediately. Replace one — the fleet adapts. No reconfiguration. No downtime. |
The actual 3D structure of your environment becomes the traversal surface. No information loss. No translation step. No weeks of pre-deployment integration.
Brushless DC drive and servo-actuated contact surfaces adapt to the geometry encountered. Flat deck, curved pipe, vertical wall — no hardware modification required.
Every deployment cycle compounds. Performance improves continuously — without manual retraining, without update cycles, without downtime.
One stabilizes a structure while another executes precision work. One monitors environmental conditions while another reroutes around an obstacle. The swarm functions as a trained crew.
Hot-swap a unit out — the fleet compensates immediately. Expand capacity — new units integrate without reconfiguration. Built for operational continuity.
Units track position as barycentric face coordinates on the raw triangle mesh — no projection, no approximation. Walls, curves, and inverted surfaces navigated with the same precision as a floor.
Your engineers’ existing 3D models become the traversal map directly. No hand-crafted waypoints. No sensor calibration pass. The structure your team already has is all VOXARN needs.
All path planning runs on GPU — CUDA and ROCm/HIP, covering both NVIDIA and AMD hardware. Hundreds of units planned simultaneously with no sequential bottleneck.
No external navigation dependencies. No third-party planning library. No vendor lock-in on any critical path. Every layer is owned and optimised for swarm performance.
VOXARN is in early development and selectively engaging with investors, manufacturers, operators, and research institutions who understand what autonomous assembly intelligence changes.
If you have a physical assembly or maintenance problem that current automation can’t solve — or you want to be part of building the category — let’s talk.
Dev reviews every inquiry personally.
If it takes a little longer than expected — apologies in advance.
You will hear back.