Alternatives to Enhanced Radar

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

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

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

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

Generate LLM training datasets with DAG topic graphs and real sandboxed tool-calling traces

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

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

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

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

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

Licensed conversational audio datasets for training speech and omni-models, with samples in 48 hours.

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

Enterprise dataset management platform for AI training teams

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

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

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.

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

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

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.

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

Labelbox builds Reinforcement Learning environments frontier labs train on and background agents engineering teams hand their backlog to.

LabelGPT auto-labels images from a text prompt—zero-shot bounding boxes and segmentation in minutes.

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

PublicAI is a Web3 data infrastructure platform that pays a global workforce in crypto for multi-modal annotation, coding trajectories, and LLM benchmarks.

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

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

Browser and offline desktop data labeling for image, text, document, and video annotation.

Free MIT Python CLI that turns AI coding assistant chat history into one normalized JSONL dataset for fine-tuning and analytics.