claru.ai valid

Claru

Claru provides purpose-built training data for physical AI, robotics, and embodied intelligence — 4M+ human annotations, 500K+ egocentric videos, 10K+ collectors across 100+ cities.

For agents: Claru provides training data for physical AI and robotics: 100+ datasets, egocentric video, teleoperation recordings and annotation for frontier robotics labs.

training dataphysical airobotics dataegocentric videodata annotation

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T08:25:26.399Z. Cached copy · Source on claru.ai

# Claru

> Claru provides purpose-built training data for physical AI, robotics, and embodied intelligence — 4M+ human annotations, 500K+ egocentric videos, 10K+ collectors across 100+ cities.

## Core Pages

- [Training Data for Physical AI](https://claru.ai/): Homepage. Claru is the only training data company 100% focused on physical AI. 4M+ annotations, 500K+ egocentric videos, 10K+ collectors in 100+ cities across 6 continents.
- [Data Catalog](https://claru.ai/data-catalog): Browse 100+ datasets spanning egocentric video, teleoperation recordings, game environments, and multi-view captures with annotation layers.
- [Solutions](https://claru.ai/solutions): Overview of data solutions for robotics, embodied AI, VLA models, and world models — from raw capture to enriched, annotated datasets.
- [About Claru](https://claru.ai/about): Company background, team, mission. Founded 2024, focused on closing the data gap for frontier robotics labs.
- [Compare Data Providers](https://claru.ai/compare): Side-by-side comparisons of Claru vs Scale AI, Appen, Labelbox, and 90+ other data providers for robotics use cases.

## Training Data Solutions

- [Egocentric Video Data](https://claru.ai/solutions/egocentric-video-data): 500K+ first-person video clips from real-world activities. Kitchen, workshop, warehouse, outdoor, and office environments.
- [Manipulation Trajectory Data](https://claru.ai/solutions/manipulation-trajectory-data): Teleoperation recordings with 6/7-DoF action labels for training robot manipulation policies.
- [Teleoperation Data](https://claru.ai/solutions/teleoperation-data): Remote-operated robot demonstrations with synchronized camera + action streams for VLA and behavioral cloning training.
- [RLHF Labeling](https://claru.ai/solutions/rlhf-labeling-data): Human preference annotations for reinforcement learning from human feedback on robot behaviors.
- [Video Annotation](https://claru.ai/solutions/video-annotation-data): Frame-level and temporal annotations for video understanding — bounding boxes, segmentation masks, action labels.
- [Red Teaming](https://claru.ai/solutions/red-teaming-data): Adversarial evaluation and safety testing for AI models with human evaluators.

## Robotics Knowledge Base

- [Glossary](https://claru.ai/glossary): 70+ technical terms defined in depth — VLA, behavioral cloning, action space, diffusion policy, sim-to-real, and more.
- [How-To Guides](https://claru.ai/guides): 40 step-by-step guides for robotics data — collecting teleoperation data, training diffusion policies, building datasets.
- [Model Pages](https://claru.ai/models): Training data requirements for 25 robot learning models — OpenVLA, RT-2, Octo, pi-zero, ACT/ALOHA, GR00T N1, and more.
- [Task Pages](https://claru.ai/training-data): Data requirements for 30 robotics tasks — grasping, assembly, navigation, dexterous manipulation, and more.
- [Dataset Pages](https://claru.ai/datasets): 25 dataset profiles with technical specs, modalities, annotatio
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