Qualia builds Q Core, a VLA (Vision-Language-Action) ops platform for training and deploying spatial AI agents and robots.
Qualia builds Q Core, a VLA infrastructure platform for training and deploying robot foundation models and spatial agents. Founded in 2025 by a team spanning robotics, deep learning, product design, and compute engineering, the company focuses on making robot model fine-tuning and deployment accessible beyond specialist research labs.
In 2026, Qualia was described as one of the European robotics startups to watch, reflecting broader interest in infrastructure companies that help teams operationalize VLA and reward-model workflows rather than only shipping standalone robot hardware.
Qualia was founded in 2025 by a team with experience across robotics, compute engineering, product design, and deep learning. The company set out to build an opinionated product layer for training and deploying robot foundation models rather than another robotics research demo.
During 2025, Qualia introduced Q Core as a platform for fine-tuning vision-language-action models, integrating datasets, managing training jobs, and iterating on reward-distillation loops for spatial agents. The stack was positioned around models such as Pi 0, Pi 0.5, Gr00t, and SmolVLA.
In 2026, Qualia was described as one of the European robotics startups to watch, reflecting broader interest in infrastructure companies that help teams operationalize VLA and reward-model workflows rather than only shipping standalone robot hardware.
Qualia is building infrastructure for the robot foundation-model layer rather than a single robot product. Its focus is on giving teams a practical way to fine-tune, evaluate, and deploy VLA models and reward loops without having to rebuild the surrounding compute and tooling stack from scratch.
