Datoric Multimodal and World-Model Datasets
Product
Datoric's world-model and agentic training-data catalog.
- Currently Offered
Datoric's multimodal and world-model catalog covers agentic computer-use traces pairing screen states with UI actions, outcomes, and optional DOM and accessibility metadata, action-conditioned gameplay data with synchronized video, inputs, state, event, and outcome logs, and build-to-spec programs for world-model teams needing custom egocentric or action-conditioned collection.
Dataset rows carry consent, provenance, and usage terms recorded at the source, with spec-driven quality review before licensing.
Datoric's world-model and agentic training-data catalog.
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Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
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.
Wirestock AI Training Data sources licensed multimodal datasets and custom content for model training.
Digital World Models predict and simulate agent actions in digital workflows for AI training.
Appen Data Catalog licenses 597 off-the-shelf AI training datasets for immediate model training, fine-tuning, and evaluation.
Vision Datasets offers ready-made synthetic datasets for training and evaluating computer-vision models.
A data lab that collects and synchronizes multimodal embodied intelligence data to train robotics and physical AI systems.
syntheticAIdata Developer Platform is a self-service web platform for generating annotated synthetic image datasets for computer vision.
Besimple AI's conversational audio training-data offering.
A self-service marketplace for discovering, evaluating, and acquiring production-ready AI training datasets with built-in governance and human enhancement.
Scale Data Engine collects, curates, and annotates data to train, evaluate, and improve machine-learning models.
vAIsual Ready Made Datasets offers synthetic and rights-cleared visual data for AI training.
Selfr's analytics agent answers structured-data questions using a non-autoregressive model built not to hallucinate.
Unified governance and discovery layer for data, models, apps, agents, and related AI assets.
Synthetic data platform that generates physically accurate, fully labeled imagery for computer vision model training.
Ango Hub is iMerit's human-in-the-loop data platform for AI development, combining annotation, workflow design, validation, and analytics.
Instance verifies robot task completion from camera footage, returning grounded success evidence for every episode.
