Alternatives to Vision Lab

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

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

Open-source data labeling and AI evaluation for all data modalities

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

Human-recorded computer-use datasets for training AI agents

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

Zero-shot auto labeling platform that turns raw images into labeled datasets in minutes.

Synthetic data platform for privacy-safe analytics and AI data access

Decentralized training data verified by public consensus

Mercor: Vetted AI experts for model evaluation and training data

AUV and cloud platform for high-resolution seabed intelligence

AI-driven factories reindustrializing American defense manufacturing with its Opus platform.

Agile legged inspection robot for industrial and hazardous environments.

RL data engine for AI teams building frontier models and enterprise agents

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

Open-source data annotation platform for vision AI teams

Private-deployment data annotation platform for multimodal AI training.

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

Real-world egocentric video and robot data for embodied AI training

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

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

Autonomous robots for continuous data center inspection and maintenance.

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

Physical AI platform that fuses sensor data into real-time intelligence with Newton.

Open-source depth SDK for Intel RealSense stereo cameras, powering real-time spatial vision in robotics and automation.

Open-source Python library for fast, memory-efficient AI dataset loading and preprocessing.

Interactive data exploration and curation for unstructured datasets

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.