One model, many hands
A single cross-embodiment policy runs across grippers and humanoid hands.
GripSim gives any gripper or hand reliable grasping and in-hand reorientation. One cross-embodiment model, trained on a data flywheel, that gets smarter with every grasp.
Built on the NVIDIA Physical AI stack
Hardware stopped being the bottleneck. Manipulation is. We ship the layer that fixes it.
A single cross-embodiment policy runs across grippers and humanoid hands.
Tactyl predicts slip and force before the robot commits to a grasp.
Reactive, in-hand control instead of brittle open-loop scripts.
Drop-in policy, runtime, and skill API for your robot stack.
Trained on deformable, occluded, and novel objects in simulation.
Robotics engineers help you pilot, fine-tune, and ship.
Every deployed hand logs real contact data that sharpens the shared policy. Each new customer starts ahead of the last.
Register your gripper or hand and its sensors with Dextra.
Adapt the pretrained policy to your cell with a small dataset.
Reflex runs the policy on Jetson at control-loop latency.
Sequa chains grasps into full jobs and recovers on failure.
Start where the payoff is daily — warehouse picking and machine tending — then expand to humanoid, service, and medical manipulation.
Each product is a component of the same idea — the manipulation layer for robots.
Cross-embodiment VLA manipulation foundation model + fine-tuning toolkit.
Tactile-and-vision contact world model that predicts grasp outcomes.
On-robot edge runtime for low-latency closed-loop manipulation.
Domain-randomized manipulation simulation + data-generation engine.
Agentic skill API that sequences and recovers grasps into tasks.
“Manipulation was our blocker for two years. GripSim gave us a policy that just works across our grippers.”
“The data flywheel is the real moat. Every cell we add makes the next one easier.”
“Reflex on Jetson hit our cycle-time budget on the first try.”
The manipulation layer teams ship with, not a research demo.
One policy runs across many grippers and hands — no per-robot rewrite.
Tactyl predicts slip and force so grasps react before they fail.
Reflex executes on Jetson at control-loop latency, with safety limits.
Every deployment feeds the shared model through the data flywheel.
Benchmarks, sim-to-real notes, and product updates. No hype, no spam.
Give any hand human-level dexterity. Start free or talk to our engineers.