Alternatives to Hub

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

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

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

Physical AI platform whose Newton world model fuses sensor, video, and time-series data into real-time operational intelligence.

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

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

Multimodal retrieval platform that turns video, image, audio and document files in your own object storage into searchable, timestamped scenes.

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

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

Open-source data layer for Physical AI: log, query, transform, visualize, and train multimodal robotics data on one toolchain.

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

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

Vision Lab produces expert-validated action labels and hand pose data for robot manipulation policies.

Data, evaluations, and applied research for perceptual AI across audio, video, and emerging modalities.

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

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

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

Reality capture platform that turns drone, robot and 360-camera data into site maps, 3D models and AI-flagged schedule and safety reports.

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

Lumana turns your existing IP cameras into self-learning AI video security agents powered by the VIA-1 model.

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

Google Cloud's vision suite: Cloud Vision API, Document AI, and Video Intelligence APIs for images, documents, and video.

Open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Real estate computer vision AI that converts property photos into standardized condition, feature, and compliance data for MLSs, AVMs, and insurers.

Coram AI turns existing IP cameras into an AI video security system with natural language search and autonomous investigation agents.

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.

Local-first AI memory for your Mac that indexes video, audio, images, and documents so you can search by what's inside them.

Free C/C++ and Python SDK for streaming depth, color, and IR data from Orbbec 3D cameras on Windows, Linux, and ARM.

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