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Introduction

Qualia is a cloud platform for fine-tuning Vision-Language-Action (VLA) models. VLAs enable you to build spatial agents that can reason about their surroundings, plan, and execute skill-based tasks.

Upload ROS 2 MCAP, LeRobot 2.1, or LeRobot v3 sources, curate episodes into immutable dataset versions, and fine-tune models such as SmolVLA, Pi0, and ACT on cloud GPUs.

These docs cover the complete workflow for training and deploying VLA models:

  1. Data Collection - Record demonstrations using LeRobot and prepare your dataset
  2. Dataset versioning - Freeze an exact, reproducible episode selection
  3. Fine-tuning - Train on an immutable dataset version using the dashboard or SDK
  4. Inference - Deploy your fine-tuned model locally on your robot
  1. Sign up at app.qualiastudios.dev
  2. Create a project and start a fine-tuning job from the dashboard
  3. To use the SDK or API, create an API key in Settings in the dashboard