Logistics integrator [placeholder]
Moved from pilot to fleet after dexterity hit target reliability.
Read case study →
Customers
Robots that finally grasp
Teams across logistics, manufacturing, and humanoid robotics use GripSim to ship dexterity. [Logos and metrics are placeholders pre-launch.]
Teams building on GripSim
NVIDIA InceptionIsaac LabGR00TJetson ThorOmniverseCosmos
Case studies
Real deployments, real metrics
Humanoid OEM [placeholder]
Shipped a humanoid with reliable grasping via Dextra + Reflex.
Read case study →Manufacturer [placeholder]
Faster machine tending across part variants.
Read case study →3PL [placeholder]
Sequa sequenced kitting with automatic re-grasp.
Read case study →Service robotics [placeholder]
Reliable picks in messy, real-world spaces.
Read case study →Research lab [placeholder]
Used GripSim as a manipulation baseline.
Read case study →
Why they choose us
What wins teams over
Dexterity that works, on hardware they already have.
It actually grasps
Reliable on deformable, occluded, novel items.
Runs on-robot
Real-time control at the edge.
Gets better
The flywheel improves every deployment.
Proof
Measured against baselines
We benchmark pick success and cycle time against open and hand-coded baselines — and publish the deltas.
- Public manipulation suite
- Real bin-pick benchmark
- Sim-to-real transfer results
Onboarding
How customers get live
1
Scope
Define the task and ROI metric.
2
Pilot
Prove it on one cell.
3
Deploy
Roll out with Reflex.
4
Expand
Add tasks and robots.
4.8
Average rating
Pilot→Fleet
Common path
Days
To first results
In their words
Customer quotes
“GripSim unblocked our whole roadmap.”
“The benchmarks convinced our team.”
“Support felt like an extension of us.”
Customers FAQ
Questions
Can I talk to a reference?
Once live, we can connect you with reference customers under NDA.
Do you publish benchmarks?
Yes — we share transfer and success-rate results.
How fast can we pilot?
We scope pilots to hit a benchmark on one cell quickly.
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.
Be our next case study
Ship dexterity on your robots — let's scope a pilot.