So how does Mad Max compare against Astra? We put them head to head with identical prompts and inputs. Mad Max came out ahead in the following areas: -Geometric accuracy (proportions, scale) -Subtle geometry details (normal maps) -Cleaner Topology -More detailed PBR materials -Fully functional mechanical joints Want to compare yourself? Mad Max is free to try for the next week at dashboard.palatial.cloud (4/4)

Bring your reference materials and context, Mad Max reasons about the task, does research and synthesizes messy input data into faithful recreations of real world objects across use cases and industries. Each asset is validated against its target simulator, ensuring stability, working joints and photoreal materials. (3/4)

Introducing Palatial Mad Max, a state-of-the-art parametric generation agent that unlocks scalable Real2Sim for robotics and physical AI. It's a generalized agent that can create extremely detailed SimReady assets with precise articulated parts and grounded physics properties designed for dexterous manipulation tasks. Try it now at dashboard.palatial.cloud (1/4)

In less than 24 hours, we're unlocking a new tier of capability for robotics simulations. Tune in tomorrow 10am PST

Team has been cooking up a huge update for the past couple of months. SimReady assets are about to change forever. Tune in Wednesday.

Most of the teams we work with live in two places: the simulator and the terminal. This week, we're shipping Palatial into both. Download the @nvidia Isaac Sim plugin to generate new or import existing sim-ready assets directly in the stage. Or, use the MCP and ask your coding agent to call Palatial to create complete simulation packages for Isaac Sim, MuJoCo, or Newton. try it out here: palatial.cloud/isaac-sim-plu…

Our talk at @siggraph 2026: Building SimReady 3D Worlds for Physical AI, is now live. We cover what sim-ready actually means, common pitfalls, and the key challenges we solved to automate asset generation at the scale needed for robotics development. Check it out if you missed it and thanks to the @nvidia team for inviting us!

At @siggraph 2026 we announced the world’s first SimReady asset agent and today we’re making it publicly available in open beta. You can now generate and iterate on assets through natural language. Just upload your reference data, tell us your use case and the agent will figure out the best settings. Try it out now @ dashboard.palatial.cloud This kicks off shiptember. We've got a full month of releases lined up!

The pipeline is guided by the Palatial agent: it reads your context, configures the right settings automatically. We accept multimodal inputs: text, images, CAD, or datasheets, just upload and let it do the rest.

The only way to scale robotics is to scale simulation. And sim is bottlenecked by high quality assets. Today we're releasing Palatial V1.0, the first automated pipeline to generate Sim-Ready assets at scale. Agent-guided and multimodal, it supports soft-body, articulation, and is the first and only automated asset generator for Nvidia's Newton simulator. @NVIDIARobotics Start generating: dashboard.palatial.cloud

Scalable sim data is a foundational bottleneck for robotics. and the building blocks are physically accurate 3D assets. Today we're releasing the Palatial Library (library.palatial.cloud), the fastest-growing collection of sim-ready assets for robotics, powered by our automated generation pipeline. Every 60 seconds, a new Palatial asset is created, 24/7. Our goal is 1 asset/second, and 1 million assets generated this year.

✅ Your brick wall is ready! 👀 View in 3D: dashboard.palatial.cloud/vie… 📦 PhysReady

✅ Your cobblestone wall is ready! 👀 View in 3D: dashboard.palatial.cloud/vie… 📦 PhysReady

✅ Your conference room office chair is ready! 👀 View in 3D: dashboard.palatial.cloud/vie… 📦 PhysReady

✅ Your car is ready! 👀 View in 3D: dashboard.palatial.cloud/vie… 📦 PhysReady