Alternatives to Xtreme

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

Custom multimodal data infrastructure for perceptual AI training, emphasizing cultural and contextual richness.

Decentralized training data verified by public consensus

Mercor: Vetted AI experts for model evaluation and training data

Custom, ethically sourced video datasets via human validators for AI video training

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

Open-source data annotation platform for vision AI teams

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

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

Global real-world data platform for training physical AI models

Enterprise dataset management platform for AI training teams

Open-source data engine for multimodal AI pipelines at scale

Web data platform for AI training and agentic web access

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

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

Open-source multimodal lakehouse for AI curation, feature engineering, and search.

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

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

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

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

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

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

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

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

Self-hosted annotation tool for custom AI, ML, and NLP pipelines.