Alternatives to DataSuite

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

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

Human-recorded computer-use datasets for training AI agents

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

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.

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

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.

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

Interactive data exploration and curation for unstructured datasets

Global real-world data platform for training physical AI models

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

Web data platform for AI training and agentic web access

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

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.

Freelance platform where experts train AI models remotely and earn weekly pay.

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

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

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

SWE-smith: Auto-generate 100s of task instances from any GitHub repo in ~10 minutes.

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

Expert data development for frontier AI models and agents

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