ROBOTICS SIMULATION & PHYSICAL AI CONSULTING

YOUR ROBOTS BELONG IN SIMULATION NOT IN A BROKEN PIPELINE.

We take robotics teams from CAD files to robot data to trained policies — in days, not months. The application layer of Physical AI, across Isaac Sim, Isaac Lab, Genesis, MuJoCo and the full stack.

48hCAD → validated USD
10×faster than DIY
100%artifact ownership
ZEROvendor lock-in
TRUSTED BY & PARTNERED WITH
01
// THE PROBLEM

Simulation pipelines are broken in a dozen ways.

3 weeks to import a single robot arm. 6 weeks tuning physics. 3 months closing the sim-to-real gap. These aren't niche issues — they're the dirty secrets of robotics simulation, costing teams months before a single line of autonomy code gets written.

  • Broken URDF / MJCF / STEP importers
  • Physics intrinsics that don't transfer from CAD
  • Articulation constraints rebuilt from scratch
  • ROS2 bridge version mismatches
  • Sim-to-real policies that fail on hardware
  • Training runs that never converge

We solve all of them — so your team can focus on autonomy, not plumbing.

02
// WHAT WE DO

End-to-end robotics simulation consulting.

From raw CAD files to deployed policies on real hardware — six focused practices plus any custom engagement, delivered by specialists who ship production code.

S/01

Sim-Ready Asset Forge

"Broken CAD in. Sim-ready out."

CAD, STEP, URDF, MJCF, Blender in — physics-validated, articulation-ready OpenUSD out. 30+ formats. Collision meshes, convex decomposition, drive gains.

S/02

Digital Twin & Scene Authoring

"Your plant, mirrored live."

Full-fidelity twins of facilities, lines and robot cells. Real-time PLC & OPC-UA sync, live monitoring dashboards, virtual commissioning.

S/03

Sim-to-Real Transfer

"Trained in sim. Proven on hardware."

System ID, physics calibration, domain randomization, visual transfer pipelines, hardware validation loops — including shipped zero-shot deployments.

S/04

RL & Policy Training

"Policies that converge."

Custom environments, reward engineering, GPU-accelerated training across Isaac Lab, Genesis, MimicGen. Multi-GPU pipelines, curriculum design, benchmarking.

S/05

Synthetic Data & Perception

"Labelled data, on demand."

Millions of annotated samples via Omniverse Replicator — camera, LiDAR, IMU. Physically-accurate environmental effects included.

S/06

Edge & Cloud Deployment

"From cluster to robot."

Turnkey delivery to every Jetson (Nano → Thor), DGX Spark, custom edge devices. ROS2, Docker, Kubernetes, CI/CD.

+ Custom engagements. Proprietary simulators, novel sensors, unusual morphologies. If it involves robots, physics and code — we've probably solved something similar.

Start a custom engagement →
03
// WORK IN MOTION

What we've shipped — across robots, simulators and the full stack.

Live clips from recent reference projects. Cards with multiple clips auto-advance and include prev/next controls. Videos stream only when scrolled into view.

ALSO DELIVERED
Hybrid mobile-manipulator pick-and-place VR teleop & egocentric data-collection pipelines for VLA training Custom VLA fine-tuning & embodiment adaptation HIL benchmarking on Jetson Thor × Blackwell RTX 6000 Pro
04
// SIM-READY ASSET FORGE · DATA LAYER

Custom assets, built to the SimReady standard — and the data pipeline that turns them into trained policies.

Physical AI starts with the asset. Most teams hit a wall here: CAD that won't import cleanly, joints that scramble, contact dynamics that lie. We forge the missing piece — OpenUSD-native, physics-validated, articulation-ready — then run the data layer on top: VR / egocentric teleoperation, MimicGen-class data multiplication, end-to-end policy training. The same standard the leading SimReady catalogs ship to Google DeepMind, Figure and AgiBot — delivered as a custom engagement, sized to your robot.

F/01

SimReady-spec, OpenUSD & MJCF

Every asset ships as OpenUSD with SimReady metadata — physics class, materials, kinematic joints, semantics. Dual export to MJCF. Drops cleanly into Isaac Sim, Isaac Lab, Newton, Genesis.

F/02

Physics validated against your CAD

Mass, inertia tensors and centre-of-mass measured from source CAD — or hand-validated where the CAD lies. Friction and damping tuned against real data. Clean collision meshes, no surprise contact forces.

F/03

Articulation & drive gains, tuned

Joint hierarchy reconstructed from URDF / MJCF / STEP, drive types chosen per joint, gains tuned so the asset moves like the real thing under PhysX or Newton — not like a default-friction prop.

F/04

Data layer on top

VR teleoperation (Apple Vision Pro, Meta Quest), egocentric capture, Space Mouse and exoskeleton collection. Isaac Lab Mimic / DexMimicGen scale a handful of demos into a full training dataset — 100–1000× multiplication.

30+input formats — CAD, STEP, URDF, MJCF, Blender, OBJ, GLB
48htypical turnaround — raw CAD to validated, sim-ready USD
100%ownership transferred — every USD, dataset and policy is yours
05
// TRAINING DATASETS LAUNCHING SOON

Task-specific datasets to train Physical AI pipelines.

We're productizing the data layer: curated, task-specific robot training datasets — collected through VR teleoperation, egocentric capture and exoskeleton rigs, multiplied with Isaac Lab Mimic / DexMimicGen, and validated in simulation before they ship.

D/01

Manipulation tasks

Pick-and-place, insertion, articulated-object interaction — captured on industrial arms and dexterous hands, scaled 100–1000× in simulation.

D/02

Humanoid whole-body

Loco-manipulation episodes for humanoid platforms — walk, reach, carry, place — with full proprioception and multi-view video.

D/03

Egocentric & VR teleop

Human-demonstration streams from VR teleoperation and egocentric capture — the highest-signal data for VLA post-training.

D/04

Ready for your stack

LeRobot-compatible formats, episode metadata, quality-assured. Custom dataset commissions available for your specific task and embodiment.

Want early access — or a dataset built for your specific task?

Join the waitlist
06
// TECHNOLOGY EXPERTISE

Deep fluency across the full Physical AI stack.

07DeploymentJetson (Nano→Thor) · DGX Spark · ROS/ROS2 · TensorRTEdge inference · HIL on Jetson Thor × Blackwell RTX 6000 Pro
06World ModelsWorld Foundation & Action Models · Video-gen · Physics predictorsFine-tuning · data factory · visual sim2real · post-training
05Foundation Models & VLAsGR00T · π · SmolVLA · OpenVLA · HOVER · DreamZero · othersVLA post-training · LeRobot format · embodiment adaptation
04Training FrameworksIsaac Lab · Mimic / DexMimicGen · Genesis · PPO/SAC/AMP · ILCustom envs · reward shaping · 100–1000× data multiplication
03SimulationIsaac Sim · MuJoCo · Gazebo · PhysX / Newton · RTX SensorsScene authoring · physics tuning · sensor calibration
02Asset PipelineOpenUSD · MJCF · CAD/STEP/URDF · Sim-Ready ForgePhysics validation · collision meshes · SimReady-spec
01InfrastructureOmniverse · RTX · Kubernetes · Multi-GPU · DGX · BlackwellCluster design · storage · cost modeling · hybrid edge
07
// HOW WE WORK

From first call to production deployment.

  1. DAY 0

    Discovery Call

    Free 30-minute consultation to scope the engagement and identify quick wins.

  2. WEEK 1

    Technical Assessment

    We audit your pipeline, find bottlenecks, deliver a roadmap with effort estimates.

  3. WEEK 2–3

    Rapid Prototype

    Working proof-of-concept in your sim environment — real results before you commit.

  4. WEEK 3–8

    Full Implementation

    Assets, environments, training, integration testing — transparent check-ins throughout.

  5. ONGOING

    Validation & Handoff

    Sim-to-real on your hardware, documentation, team training. You own everything.

Need it sooner? Tell us your deadline — we compress timelines, run parallel tracks, or sprint when the deadline demands it.

08
// PROVEN IMPACT · PARTNERS

Real numbers. Real engagements.

90%

reduction in time spent on simulation pipeline issues after onboarding us

48h

typical asset conversion turnaround from broken CAD to validated USD

3wk

average time saved per robot integration vs in-house pipeline development

0

vendor lock-in — you own every artifact we deliver, with documentation

ACTIVE ENGAGEMENT

Hitachi USA

Simulation engineering for industrial infrastructure. Engagement details confidential under NDA.

STRATEGIC PARTNER · MOU

Fluid Tech Solutions USA

Memorandum of understanding for joint delivery of simulation, digital-twin and Physical AI programs in the US market.

UNDER NDA

Digital Twin & Industrial Programs

Production-grade digital twins, line simulations and perception engagements for industrial clients — confidential by design.

UNDER NDA

Manipulator & Humanoid Programs

Franka, UR and humanoid platforms across industrial, research and startup clients.

Security-first, NDA-ready from day one. Whatever we build with you stays between us. You own every artifact we deliver.

// GET STARTED

STOP FIGHTING THE PIPELINE.
START BUILDING AUTONOMY.

Book a free 30-minute discovery call. Tell us about your robot, your simulation challenges, and your timeline. We'll tell you exactly how we can help — and what it'll cost.

  • Free 30-minute consultation
  • NDA-ready
  • No vendor lock-in

QUICK INQUIRY

We reply within one business day.