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Platform · Systown
Train the model that knows your world.
Run the system that proves it.
Forge trains and verifies world models on measured reality. Studio runs and governs what they become. REAL → SIM → REAL, as a product.
The platform
A collective mind, memory
and fleet-wide mission context.
Three technologies. One measured operating picture. Every machine and every person reads the same world.
Brain
NVIDIA Cosmos 3
Open, omnimodal world models for Physical AI. Trained and optimized on measured reality.
Memory
AVEVA PI
Decades of trusted industrial data. The plant’s memory becomes the world model’s memory.
Sense
Wittra 4D sense mesh
Adaptive narrowband + ultra-wideband 3D positioning and sensing. ±50 cm per the Wittra platform specification, indoors and underground.
Forge · train
Train models that know your world.
Without standing up the Cosmos stack yourself.
Turn proprietary environments, embodiments and measured spatial reality into verified world models. One governed lifecycle from synthetic data to production artifact.
- 01
Synthetic data
Generate the long-tail and edge cases that are unsafe, rare or expensive to capture in the field.
- 02
Curate
Shot-detect, caption, filter, dedupe and annotate source material into usable training sets.
- 03
Fuse reality
Time-align Wittra 4D spatial streams to video and action so every frame carries measured position.
- 04
Post-train
Adapt forward dynamics, inverse dynamics, policies, reasoners and generators to the embodiment.
- 05
Verify
Run truth-aligned suites for physical plausibility, position error, regression and drift.
- 06
Lifecycle
Version models, datasets, runs, configs and rollbacks as governed production artifacts.
Training & verifying world models · the evidence ladder, every version carried forward
Domain alignment
Put your embodiments, environments, tasks and measured RF 4D recordings into the run.
Truth-grade eval
Score against measured physical reality — not a generic video benchmark.
Run anywhere
Your cloud, your on-prem hardware, or Systown compute — without locking lineage to one vendor.
Sovereign lineage
Data isolated, runs auditable; every model, dataset, config and artifact traceable.
Studio · operate
Operationalize Physical AI.
From world models to real-world systems.
Build, deploy and govern Physical AI against measured truth. Keep ownership of your data and IP.
01
Build
Compose physical-AI systems from trained world models and live operating context.
02
Iterate
Measure behavior, compare variants, and turn fleet evidence into the next training loop.
03
Deploy
Run consistent behavior across cloud, dedicated, self-hosted and edge operations.
04
Govern
Trace predictions, rollouts, actions and safety gates before a model touches an asset.
05
Accelerate
Reference targets, templates and Inception-aligned compute — from cold start to verified system.
Modality · RF 4D
RF: Adaptive 4D Spatial & Sensor.
The one channel cameras can’t synthesize.
World models imagine. Measured RF 4D makes them know. ±50 cm position per the Wittra platform specification and live sensor data run through training, evaluation, verification and runtime.
Measured, not inferred
Everyone else conditions on spatial signals inferred from pixels. We ingest, fuse, train on and verify against measured RF 4D spatial data.
Through-line
The same measured truth appears at every stage: in the training set, in the evaluator, in the runtime referee.
Adaptive
Adaptive narrowband (sub-GHz) mesh for site-wide coverage. Ultra-wideband click-ons provide ±50 cm 3D precision per the Wittra platform specification.
Where vision ends
Dust, darkness, steam, steel and GPS-denied corridors — the exact failure modes the open world-model docs flag.
Wittra 4D sense meshMeasured ground truthGPS-deniedPositions are RF-belief fixes · labelled on screen
NVIDIA Cosmos 3 · operationalized
Cosmos 3, operationalized.
Not a fork. Held to measured reality.
NVIDIA Cosmos 3 is an open, omnimodal world-model stack for Physical AI. We train and optimize it on measured reality. NVIDIA Inception Program company.
01 · Foundation
Omnimodal by design
One architecture spans world generation, physical reasoning and action across text, image, video, audio and action.
03 · Data engine
Curator + Evaluator
Distributed curation — shot detection, captioning, filtering, dedup — paired with a physical-plausibility evaluation harness.
04 · Our part
Measured truth
We ingest, fuse, train on and verify against measured RF 4D spatial data. Adapters, not forks.
Not a Cosmos forkNot generic MLOpsNo padded proseNo field claims from simulation
Verticals
Where the platform is already pointed.
Humanoid & manipulation
Post-train arm and humanoid policies, then verify dexterity and docking against measured position.
Warehouse & logistics
Validate AMR and humanoid fleet safety by scoring predicted against measured collisions.
Industrial & energy
Align inspection and haul behaviors inside steel, underground and RF-contested plants.
Defense autonomy
Train drone and UGV behavior for jammed, GPS-denied corridors where vision-only stacks fail.
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