Datoric's robotics catalog spans UMI dual-camera annotated bimanual manipulation, custom robot teleoperation programs on buyer-specified robots, tactile-glove and stereo manipulation recordings, paired egocentric RGB and IMU streams, egocentric residential video across 80 non-cooking task categories, multimodal human manipulation with synchronized video, depth, mocap, and IMU, and industrial first-person video with workflow, tool, outcome, and safety labels.
Each row carries capture specifications, consent and provenance records, and task-specific quality review, sourced at the origin for buyers building robotics and physical AI models.

Datoric's robotics training-data catalog for physical AI teams.



Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.



Vision Datasets offers ready-made synthetic datasets for training and evaluating computer-vision models.


Wirestock AI Training Data sources licensed multimodal datasets and custom content for model training.


Cua Environments Catalog offers scoped trajectory data packages for computer-use agents.



Ready-to-license expert-authored datasets for AI post-training across professional, coding, search, and multimodal tasks.


syntheticAIdata Developer Platform is a self-service web platform for generating annotated synthetic image datasets for computer vision.


Appen Data Catalog licenses 597 off-the-shelf AI training datasets for immediate model training, fine-tuning, and evaluation.


A self-service marketplace for discovering, evaluating, and acquiring production-ready AI training datasets with built-in governance and human enhancement.


Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.


Generalist robot policy that controls robots across diverse manipulation tasks.


Roboflow provides computer vision dataset and deployment tooling for production models.


Physical AI platform that captures scientific lab execution as machine-readable records.


Supervisely is a platform for computer vision offering AI-assisted labeling and neural network training.


Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.


Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
micro1 Robotics Data captures expert demonstrations for physical policy models.

Robotics Data Infrastructure is XDOF's data pipeline, collection, and annotation platform for robotics foundation models.

EgoVerse is an ecosystem for curating human egocentric data and learning from it for robot learning.

Vision Datasets offers ready-made synthetic datasets for training and evaluating computer-vision models.

Wirestock AI Training Data sources licensed multimodal datasets and custom content for model training.

Cua Environments Catalog offers scoped trajectory data packages for computer-use agents.

Markov's computer-use and gameplay training-data offering.

Ready-to-license expert-authored datasets for AI post-training across professional, coding, search, and multimodal tasks.

syntheticAIdata Developer Platform is a self-service web platform for generating annotated synthetic image datasets for computer vision.

Appen Data Catalog licenses 597 off-the-shelf AI training datasets for immediate model training, fine-tuning, and evaluation.

A self-service marketplace for discovering, evaluating, and acquiring production-ready AI training datasets with built-in governance and human enhancement.

Expert-curated datasets and reinforcement learning environments for training and evaluating AI models.

Generalist robot policy that controls robots across diverse manipulation tasks.

Roboflow provides computer vision dataset and deployment tooling for production models.

Physical AI platform that captures scientific lab execution as machine-readable records.

Supervisely is a platform for computer vision offering AI-assisted labeling and neural network training.

Shotwell Robotics Observability is the observability layer for robotics, turning the video data robots already record into automatic failure detection.

Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
