Data infrastructure to generate billions of accurate simulations

Solving real-to-sim transfer by making
physically accurate assets and environments

Physics Asset Generation

Generate realistic objects with accurate physics metadata and articulation using images, text or videos

3D Scene Reconstruction

Convert video, point cloud or GIS data into interactive digital twins at the scale of rooms, factories or entire cities

Enabling simulation across industries

Field Robotics

Robust, physics-ready assets for agriculture, mining, and outdoor robotics.

Industrial Automation

Accurate simulations for factory automation, assembly lines, robot arms.

General Purpose

Realistic environments and objects to train versatile humanoid and service robots.

World Foundation Models

High-fidelity 3D data pipelines to power large-scale robot training and AI world models.

Simulation assets grounded in reality

Precision Geometry

Highly detailed objects with accurate dimensions and collisions

Sim-ready Topology

Feature aligned meshes that work well with physics solvers and decimation

Realistic Materials

High fidelity PBR texture maps and clean UV unwraps for easy editing

Accurate Physics

Mass, inertia, friction, elasticity, with support for soft body and deformables

Interactivity

Articulated objects and end-effectors with joint friction, torque and constraints

Millions of Variants

Deterministic domain randomization for geometry, materials and physics

Our Data Pipeline

Available on-demand as a web app or an API, our pipeline can generate data at scale and is customizable to your specific data requirements

Mission

From raw data to sim-ready in minutes (not months). The bridge between the real world and training-ready simulations

Partners

Trusted by robotics innovators

Axel Peytavin

CEO
Innate

Palatial is the only partner that we've worked with that has delivered real value.

Their tools helped us train and validate our robot much faster.

Jason Ashton

CEO
Aurum Systems

Palatial was able to generate a realistic 1:1 representation that enabled us to validate and demonstrate our capability quickly. The ability to generate new assets on the fly unlocks the ability to train models on diverse scenarios we wouldn't be able to do otherwise.

Vishal Dugar

Co-Founder
Gritt Robotics

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