Alternatives to Cortex AI

Curated video datasets and evals for training spatial reasoning in multimodal AI.

Verifier-grounded training data for frontier AI models, built on formal proofs, simulators, and oracles.

Collect high-quality human data from verified participants for AI training, evaluation, and research.

Human-recorded computer-use datasets for training AI agents

Modular humanoid robot platform for embodied AI builders

Open-source data annotation platform for vision AI teams

Expert-curated reasoning data that trains frontier models to think like specialists.

Open-source Unreal Engine plugin for synthetic data generation and computer vision research.

Expert data development for frontier AI models and agents

Open-source synthetic data generation grounded in real tool execution traces.

Spatial reasoning data and game-engine benchmarks for AI agents.

Open-source annotation for text, audio, images, video, and AI agents with YAML setup.

Real-world multimodal human data for embodied AI training.

Domain-specific clinical data and RL environments for healthcare AI

Custom, ethically sourced video datasets and real-time human feedback for AI video model training.

Offline AI image annotation with SAM2 & SAM3, one-time price, no subscription

A drop-in MNIST replacement for benchmarking fashion image classifiers.

AI observability and reliability for cyber-physical systems with continual learning

Global real-world data platform for training physical AI models

Omni-bodied robot brain that learns skills from human video for any robot, any task

Decentralized training data verified by public consensus

Mercor: Vetted AI experts for model evaluation and training data

Managed training data for AI agents and LLMs — agentic skills, coding, AI safety.

Private-deployment data annotation platform for multimodal AI training.

Tactile capture hardware that records touch-aware demonstrations for dexterous robot training.

B2B crowdsourcing platform for AI training data and data services from 8M+ verified workers.

Autonomous robots for continuous data center inspection and maintenance.

Industrial data layer for robotics with VLM-driven high-density action labeling and human-in-the-loop validation.

Collaborative data labeling for images, text, documents, and video

Open-source Python SDK for training and deploying physical AI on robots.