Pricing

Start free. Scale to a fleet.

Transparent, usage-based pricing for the manipulation layer. Pilots are project-based; production scales per robot or fleet. Indicative, pre-launch.

The same NVIDIA-powered stack at every tier

NVIDIA InceptionIsaac LabGR00TJetson ThorOmniverseCosmos
Plans

Pick a tier that fits your stage

Start free. Scale to a fleet. Pricing shown is indicative, pre-launch.

Starter

Free

Explore the platform and simulate grasps

  • Simdex sandbox
  • Dextra demo policy
  • Community support
Get started

Enterprise

Custom

For large fleets and custom needs

  • Custom SLAs
  • On-site engineers
  • Roadmap input
  • Dedicated training
Get started
What's included

Every plan gets the essentials

GPU-accelerated training, edge runtime, and expert help scale with you.

Foundation policy

Access to Dextra cross-embodiment models.

Edge runtime

Reflex on Jetson with safety limits.

Expert support

Robotics engineers help you ship.

Cost control

Pay for what you deploy

Runtime is per-robot or per-fleet; the skill API is usage-based. No surprise compute bills — training credits via NVIDIA Inception help offset cost.

  • Per-robot or per-fleet licensing
  • Usage-based skill API
  • NVIDIA cloud credits eligible
Getting started

From free to fleet

1

Try free

Simulate grasps and explore a demo policy.

2

Pilot

Run a scoped pilot on your hardware.

3

Scale

License per robot or fleet as you roll out.

4

Optimize

Tune cost and performance with our team.

Free
To start
Usage
Skill API pricing
Fleet
Volume discounts
Value

Teams on pricing

“Usage pricing matched our rollout pace.”
Finance Lead
Integrator [placeholder]
“Inception credits cut our training cost.”
CTO
OEM [placeholder]
“We scaled per cell without surprises.”
Ops Lead
3PL [placeholder]
Pricing FAQ

Common questions

Is there really a free tier?
Yes — start in the Simdex sandbox with a demo policy at no cost.
How is production priced?
Per robot or per fleet for the runtime, plus usage-based skill API.
Do you offer credits?
Eligible startups can use NVIDIA Inception cloud credits to offset training compute.
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.

Ready when you are

Start free today or talk to sales about fleet pricing.