DITHby Kaedim
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Validated sim-ready 3D datasets. On demand.

Input your reference photos and generate high-fidelity, validated-to-behave 3D datasets at scale. Train faster, test more, and deploy with confidence — without the painstaking data sourcing.

The problem

Sim-ready 3D hasn’t existed both validated and at scale. Until now.

For robotics to advance, training has to move into simulation. But the 3D environments required — realistic enough to actually transfer to the real world — take months to source and process, and only the largest, best-funded labs can afford to try. The sim-to-real gap is a data-quality-at-scale gap.

$10k-$50k

Per site installation

Manual capture, modeling, cleanup, and physics validation before training can even begin.

100 billion

Training hours needed

With only 500k hours of high-quality robot interaction data available

+37.9%

Accuracy improvement

For policies co-trained on real-world and simulation over real-only data.

The solution

Scene into sim-ready 3D. Zero cleanup.

Feed in photos or just a text description. Our state-of-the-art AI pipeline produces hundreds of validated, sim-ready 3D assets — ready to run in your simulator out of the box.

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3D is the hero

Validated to behave. Not just to load.

Most 3D assets look the part but break under real physics. EDITH delivers geometry, materials, and physics that behave correctly in simulation — validated, engine-ready, and produced at scale.

Quality

Our AI-powered pipeline delivers the highest quality for both geometry and textures. Evenly dispersed geometry deforms naturally in simulation — contributing to stable contacts and reliable behavior. Textures are future-proofed to the latest OpenPBR standard, with the highest photorealism.

Others: Messy geometry, generic texture maps, unpredictable deformation in sim.

Mesh
Geometry & Texture
Texture
UVs

Speed & scale

Process any image inputs you already have, into hundreds of sim-ready assets, all delivered the same day. Take photos capturing your robot’s real-life environment, see them turn into dozens of 3D assets and layered in a scene as a digital twin to the reference image. No special capture rig, no waiting months for a vendor to manually recreate your environments for sim.

Others: Months of manual work for delivering a sim-ready environment or dataset. Controlled capture conditions are also required.

Reference image to sim-ready scene

Physics validation

True-to-life mass at real-world scale, material behavior, restitution, and elasticity — instead of generic defaults. Every asset is validated for physical accuracy before it reaches your simulator.

Others: Generic physics defaults — mass, friction, and deformability are guessed or approximated.

Other automated pipelinesOthers
EDITH outputEDITH

Engine-ready

Standards-compliant and ready to run. SimReady structure and OpenPBR materials, with physics pre-configured for your simulator — so you can drop assets straight in without manual setup.

Others: Assets need manual rigging, physics tuning, and format conversion per engine.

Early access

Ready to close the gap?

We’re onboarding a small group of robotics teams. If you’re building robots or models for robots and need sim-ready data that actually transfers to the real world — we’d love to work with you.

Built on Kaedim’s 3D AI platform — trusted by EA, Amazon, and 1,000+ companies worldwide.

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We’ll get in touch to send more information and a sample dataset.