AI platform for game development that works inside Unity and Godot
GPU-accelerated rigid-body dynamics solver for robot learning
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Freemium
Open source
Pricing
Free plan with small monthly credit allowance, no card required. Pro $20/month with monthly credits. Pro+ $60/month with 4x Pro's monthly credits. Ultra $100/month with 7x Pro's monthly credits. Annual billing costs one month less than monthly.
Not given
Key features
Specialist Crew led by Maestro that brings in Builder, Juicer, Systems Smith or Playtester as the work needs
Start new Godot games with Managed Godot that automatically downloads, installs and runs Godot 4.6.1
Works inside existing Unity 2021.3+ and Godot 4.0+ projects without converting them
Two workspaces: Cockpit for AI-first workflow and Classic Editor for full code editing
Project context and Code Graph that auto-indexes scripts, connections, inheritance and signals
Checkpoints and review with diffs, allowing undo of individual agent turns
Export desktop builds for macOS, Windows and Linux with custom icons and version numbers
Playtesting options: try changes yourself, send the Playtester, or enable Auto Playtest
Asset Store to search and download reusable game assets from external sources
3.8× PhysX throughput on 20 benchmarks geometric mean
13.0× performance on heterogeneous task mixtures
Per-environment work scheduling for efficiency
Reduced-coordinate articulation dynamics
Differentiable simulation
Rigid-deformable coupling support
Compliant and hydroelastic contact
62% less GPU memory than PhysX at matched batch size
3.90 million environment steps per second peak throughput
What makes it different
Works at the engine level with scenes, nodes, components and signals, not just source code
Runs the game after changes to verify specific behaviors occurred as a form of evidence
No surprise bills: credit overages are never charged automatically, and month refreshes without downgrading models
Supports both managed and self-hosted workflows for maximum flexibility
Designed for heterogeneous workloads with different robots and tasks simulated together efficiently
Integrated into open-source Newton for seamless adoption without separate physics stack
Supports diverse physical interactions beyond rigid bodies
Enables scaling of diverse robot experience for general-purpose learning