Massively parallel sim
Thousands of parallel envs generate contact-rich episodes fast.
Simdex · GripSim
Simdex
Domain-randomized manipulation simulation + data-generation engine.
Overview
What Simdex does
A simulation and synthetic-data pipeline that spins up domain-randomized, contact-rich grasping scenarios across morphologies and objects, then exports labeled training data for Dextra and Tactyl.
- Massively parallel sim
- Domain randomization
- Digital twins
- Multi-morphology
Key features
Inside Simdex
Built to be GPU-essential, NVIDIA-aligned, and production-ready.
Domain randomization
Varies objects, lighting, physics for sim-to-real robustness.
Digital twins
Build twins of customer cells for targeted fine-tuning data.
Multi-morphology
Generate data across many gripper and hand shapes.
Labeled exports
Vision + tactile + outcome labels ready for training.
Powers the flywheel
Bootstraps models before a single real deployment exists.
Specs
Technical specifications
| Engine | NVIDIA Isaac Lab / Isaac Sim |
|---|---|
| Synthetic worlds | NVIDIA Cosmos |
| Twins | Omniverse / OpenUSD |
| Compute | NVIDIA DGX / HGX + RTX |
| Output | Labeled multimodal datasets |
| Hosting | Omniverse Cloud |
Gallery
Simdex in action
Use cases
Where Simdex fits
- Pre-training Dextra before deployments
- Generating rare long-tail scenarios
- Per-customer twin fine-tuning data
- Sim-to-real research
Pricing
Ways to deploy Simdex
Start free. Scale to a fleet. Pricing shown is indicative, pre-launch.
Pilot
Project
- Scoped pilot
- Engineer support
- Benchmark report
Scale
Usage
- Production license
- Fleet updates
- Priority support
Enterprise
Custom
- Custom SLAs
- On-site support
- Roadmap input
FAQ
Simdex questions
Does it require NVIDIA hardware?
Yes — Simdex is GPU-essential; see the specs above for the exact stack.
Can I use it standalone?
Yes, Simdex works on its own and integrates with the rest of the GripSim stack.
How do I get started?
Talk to our team for a scoped pilot tailored to your robot and task.
Related
Explore the rest of the stack
Dextra
Cross-embodiment VLA manipulation foundation model + fine-tuning toolkit.
Explore Dextra →
Tactyl
Tactile-and-vision contact world model that predicts grasp outcomes.
Explore Tactyl →
Reflex
On-robot edge runtime for low-latency closed-loop manipulation.
Explore Reflex →Why GripSim
Built for production robotics
The manipulation layer teams ship with, not a research demo.
Cross-embodiment by design
One policy runs across many grippers and hands — no per-robot rewrite.
Closed-loop with touch
Tactyl predicts slip and force so grasps react before they fail.
Runs on the robot
Reflex executes on Jetson at control-loop latency, with safety limits.
A moat that compounds
Every deployment feeds the shared model through the data flywheel.
Stay in the loop
Manipulation research, in your inbox
Benchmarks, sim-to-real notes, and product updates. No hype, no spam.
Put Simdex to work
Tell us your robot and task — we'll scope a pilot.