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.
ROBOTICS SIMULATION & PHYSICAL AI CONSULTING
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.
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.
We solve all of them — so your team can focus on autonomy, not plumbing.
$ python convert_urdf.py robot_arm.urdf
ERROR Package path 'meshes/' not resolved
ERROR Joint 'shoulder_pan' has invalid axis
ERROR Collision mesh self-intersection
WARN Inertia tensor non-positive-definite
FATAL ArticulationRoot validation failed
# 3 weeks of debugging imports & physics…
# — brought in The Deep Intelligence —
$ ./isaaclab.sh -p validate_asset.py
✓ 6 joints articulated, drive gains tuned
✓ Mass, inertia, friction validated vs CAD
✓ Collision meshes clean (0 intersections)
# Shipped in 48 h. Back to autonomy.
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From raw CAD files to deployed policies on real hardware — six focused practices plus any custom engagement, delivered by specialists who ship production code.
"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.
"Your plant, mirrored live."
Full-fidelity twins of facilities, lines and robot cells. Real-time PLC & OPC-UA sync, live monitoring dashboards, virtual commissioning.
"Trained in sim. Proven on hardware."
System ID, physics calibration, domain randomization, visual transfer pipelines, hardware validation loops — including shipped zero-shot deployments.
"Policies that converge."
Custom environments, reward engineering, GPU-accelerated training across Isaac Lab, Genesis, MimicGen. Multi-GPU pipelines, curriculum design, benchmarking.
"Labelled data, on demand."
Millions of annotated samples via Omniverse Replicator — camera, LiDAR, IMU. Physically-accurate environmental effects included.
"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 →Live clips from recent reference projects. Cards with multiple clips auto-advance and include prev/next controls. Videos stream only when scrolled into view.
This digital twin is a real client facility. We hold it under NDA — happy to walk through it under a mutual non-disclosure on a discovery call.
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.
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.
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.
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.
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.
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.
Pick-and-place, insertion, articulated-object interaction — captured on industrial arms and dexterous hands, scaled 100–1000× in simulation.
Loco-manipulation episodes for humanoid platforms — walk, reach, carry, place — with full proprioception and multi-view video.
Human-demonstration streams from VR teleoperation and egocentric capture — the highest-signal data for VLA post-training.
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 waitlistFree 30-minute consultation to scope the engagement and identify quick wins.
We audit your pipeline, find bottlenecks, deliver a roadmap with effort estimates.
Working proof-of-concept in your sim environment — real results before you commit.
Assets, environments, training, integration testing — transparent check-ins throughout.
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.
reduction in time spent on simulation pipeline issues after onboarding us
typical asset conversion turnaround from broken CAD to validated USD
average time saved per robot integration vs in-house pipeline development
vendor lock-in — you own every artifact we deliver, with documentation
Simulation engineering for industrial infrastructure. Engagement details confidential under NDA.
Memorandum of understanding for joint delivery of simulation, digital-twin and Physical AI programs in the US market.
Production-grade digital twins, line simulations and perception engagements for industrial clients — confidential by design.
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.
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.