Palatial provides automated tools to generate physically accurate 3D assets and environments for simulation training. The platform converts real-world data like images, video, or CAD models into domain-randomizable objects with industrial-grade physics and visual fidelity. This pipeline bridges the gap between real-world data and training-ready simulations for robotics and industrial automation.
Funding
Funding not disclosed
Founders
Product
Problem
Indie 3D developers and small teams often face challenges in optimizing virtual environments within Unreal Engine, leading to increased development time and costs. Repairing and optimizing 3D scenes manually is a time-consuming and repetitive process, requiring significant technical resources. Inefficient scenes can result in lower frame rates and larger file sizes, hindering performance across VR, mobile, desktop, and cloud applications.
Solution
Palatial provides automated optimization tools for Unreal Engine, streamlining the content creation workflow for 3D developers. The software intelligently identifies and applies fixes for selected objects or entire projects, automating tedious and repetitive tasks. Palatial's tools enable developers to optimize and repair scenes up to 20x faster, reducing draw calls and memory footprint while increasing frame rates. By automating optimization best practices, Palatial helps developers build stunning experiences more efficiently and effectively utilize rendering hardware.
Target Audience
Palatial primarily targets indie 3D developers and small teams using Unreal Engine who seek to automate and accelerate their virtual environment optimization processes. The platform also caters to robotics teams needing to convert real-world data into sim-ready environments.
Features
- Automated instancing: Detects and replaces mesh copies with lightweight instances.
- Normal repair: Fixes orientation of face normals for correct mesh appearance.
- Merging: Combines meshes based on selected properties to reduce unique object count.
- Nanite conversion: Converts meshes to support Nanite and enables it for compatible geometry.
- LOD setup: Auto-generates Level of Detail (LOD) chains based on selected parameters.
- De-duplication: Replaces repeated texture, material, and mesh copies to reduce memory footprint.
- CAD repair: Repairs common errors when importing 3D models from Revit, Rhino, and 3dsMax.
- Automated physics asset generation: Generates realistic objects with accurate physics metadata and articulation using images or text.
- 3D scene reconstruction: Converts video, point cloud or GIS data into interactive digital twins.