Rayform

Where Rayform fits.

There are many tools between a robot's recordings and a training run: log platforms, reconstruction libraries, capture apps, digital twins, generated worlds. Rayform takes your recordings, reconstructs them in 3D over time with the robot state aligned, and serves them to your trainer. Here is how that compares, and when another option is the better fit.

At a glance.

Eight things robot learning teams ask about a data pipeline. “Partly” means some products or some of the data, or that it needs extra work. Select a name for the full comparison.

CapabilityRayformFoxgloveNVIDIA NuRecNiantic SpatialParallax WorldsLightwheelWorld Labs
Works with your own recordingsUpload from your own robots, rigs or phones.YesYesYesYesYesPartlyPartly
3D reconstructionSplats, meshes and collision geometry built from your recordings.YesNoYesYesYesPartlyNo
Sensors and robot state alignedRGB, depth, LiDAR and joints on one clock and one coordinate frame.YesPartlyPartlyNoNoNoNo
Interactions on the timelineGrasps, placements and moved objects detected and marked.YesNoNoNoNoNoNo
Search across recordingsFind every grasp, scene or condition across all your data.YesYesNoNoNoNoNo
Versioned training slicesFrozen selections that always return the same data.YesPartlyNoNoNoNoNo
Export to training formatsLeRobot, RLDS or WebDataset for training; USD for simulators.YesPartlyPartlyPartlyPartlyYesPartly
Self-serve accessStart without a sales call.PartlyYesYesYesNoPartlyYes

Based on public pages and press as of October 18, 2026. Rayform’s column describes the product in private preview; self-serve access is partial until the waitlist is gone.

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