Alternatives to Mundo AI

Web3 data network paying contributors in crypto for text, audio, video, code, and mapping data that trains AI models.

Open-source, multimodal data annotation platform for image, video, 3D point cloud, and audio labeling—self-hosted, cloud, or fully managed

Applied research lab that captures expert reasoning and structures it into SFT, RL rubric, agent, and computer-use training data for frontier models.

Daft is an open-source multimodal data engine for turning video, images, audio, and sensor data into training-ready datasets.

Open-source platform for data labeling, AI evaluation, and human-in-the-loop workflows across every data modality.

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

Sahara AI is a blockchain-backed platform for building, deploying, and monetizing autonomous AI agents across trading, enterprise automation, and data services.

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI models.

Clickworker turns a verified global crowd of 10M+ people into on-demand data collection, labeling, and validation work for AI, retail, and research teams.

A human data platform connecting AI teams and researchers to 300,000+ verified participants for preference tuning, safety evals, and online studies.

Velvet sources, verifies, and delivers curated video datasets that help AI labs train interactive and world models with real spatial reasoning.

Universal Data Tool is a collaborative data labeling platform for images, text, documents, and video datasets.

Hub collects real-world multimodal data for embodied AI — egocentric video, teleoperation, hand tracking and tactile — with custom collection delivered in

Generate privacy-safe synthetic data with MOSTLY AI's Apache v2 SDK and TabularARGN engine.

Mercor is a human intelligence marketplace for AI model evaluation and training data, paying vetted domain experts an average of $109/hr.

RL environments and expert-labeled data for frontier models and enterprise agents

Managed training data, RL environments, and safety red-teaming for teams building AI agents, coding models, and LLM/VLM pipelines.

Offline AI image annotation for YOLO and VOC datasets — local SAM2, SAM3 and YOLO-World, one-time purchase from $49.

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

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

Web data platform for AI training and agentic web access — pre-collected datasets, live scraping APIs, and a proxy network under one account.

Open-source framework that turns any GitHub repository into training data for software engineering agents.

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

GameEngineBench benchmarks and UE5 training data for AI agents that write real game-engine code.

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

MIT-licensed Python CLI to export AI coding assistant chat history into one normalized JSONL dataset.

A downloadable Python annotation tool and web app you run yourself to build training and evaluation data for custom AI, ML and NLP models.

Hugging Face Datasets: open-source Python library to load, stream, and preprocess AI datasets for training

Spotlight is Renumics' open-source Python library for turning messy unstructured datasets into interactive 2D and 3D similarity maps you can curate in your

Snorkel AI builds expert training data, evals, and runnable environments for frontier models and agents.