Alternatives to Deepfabric

AfterQuery builds expert reasoning training data — SFT, RL rubrics, agent environments, and computer-use trajectories for frontier models.

Snorkel AI builds expert-curated training data and runnable eval environments for frontier models and agents

Free open-source data annotation for text, image, audio, video, and AI agent traces — configured in YAML, self-hosted.

Human-recorded computer-use datasets that teach AI agents to operate real software the way people do.

BioStack Platforms supplies structured clinical datasets and RL environments for healthcare AI teams.

Velvet sources, verifies, and delivers curated video datasets so AI labs can train interactive and world models with spatial reasoning.

Prolific connects AI and research teams to 300,000+ verified participants for human feedback, preference tuning, and safety evals.

Load, stream, and preprocess training datasets in one line of Python — open source, Arrow-backed, Hub-native

CVAT is an open-source data annotation platform for image, video, 3D point cloud, and audio labeling.

Outlier AI pays subject-matter experts to train AI models remotely through flexible, project-based prompt writing and answer grading.

Early-stage San Francisco robotics lab building policies for robots that do real work, and hiring its first researchers.

GameEngineBench scores frontier AI models on real UE5 game-engine programming tasks, not static coding puzzles.

Applied AI for aviation: pilot-controller training datasets, the Y4 Aviation Understanding Model, and real-time runway incursion risk detection.

A free 70,000-image Zalando clothing dataset built as a drop-in replacement for MNIST.

Cortex AI collects real-workplace egocentric video and robot trajectory data, annotated per frame, to train embodied AI and robot foundation models.

Licensed audio datasets for teams training speech recognition, translation, and voice interaction models

Custom audio datasets for training and evaluating voice AI, scoped to your model's spec.

Physical AI data infrastructure that turns real-world task capture into multimodal robot training datasets

Mercor connects AI labs with vetted domain experts to build training data, evals, and APEX benchmarks for frontier models.

Training data, RL environments, and red-teaming for LLM and computer-use agent teams

Prodigy is a downloadable Python annotation tool for building training and evaluation data for custom AI, ML and NLP models.

MOSTLY AI generates privacy-safe synthetic tabular data via its TabularARGN engine and Apache v2 SDK.

Raiinmaker builds rights-cleared custom video datasets and runs real-time human evaluation for AI video models.

Hub recruits the physical world to capture egocentric, teleoperation, hand-tracking and tactile training data for embodied AI.

Markup turns PDFs and long text into structured NLP and ML datasets with AI-assisted annotation in the browser

Enterprise dataset management platform for AI training teams

Sureform turns your operational data into a licensable AI training asset that pays you per deal

Mundo AI builds culturally-aware audio and video training data, evaluations, and applied research for teams working on perceptual AI.

Private-deployment data annotation platform for multimodal AI training, from BasicAI.

Open-source data labeling and AI evaluation across every data modality, self-hosted.