Better data, faster robots.

What we do

Agentuor is a unified data infrastructure platform for building, evaluating, and deploying Physical AI and embodied robotics systems. We cover the full data journey — collection, multimodal annotation, quality and review, model evaluation, and agent intelligence — and deliver it as self-serve SaaS, managed services, or a hybrid of the two.

What makes the platform different is the agentic feedback loop. Agents analyze annotation work in real time, incorporate reviewer input, and recommend labels and workflow next steps with confidence and provenance. People stay in control of every decision, and the dataset keeps improving as a result.

Why we started

Robot learning has a data problem that looks different from the one computer vision solved a decade ago. Episodes are long, sensors are many, outcomes are ambiguous, and the cost of a bad label shows up as a robot doing something unsafe. The tools available were built for flat images and simple classes. We wanted infrastructure built for the messiness of the physical world, with the judgement of domain experts scaled by agents rather than replaced by them.

How we work

• Humans decide. Recommendations are suggestions until a person confirms them. Always.
• Provenance is not optional. If a label is in the dataset, you can see why.
• Research to production, one schema. The lab dataset and the fleet pipeline should never need a migration.
• Quiet software. The best data tool is the one your annotators stop noticing.

Where to find us

Agentuor
Calle Carril de las Asomadillas
Orcera, Andalucía, 23370
Spain

Contact us · hello@agentuor.com