Best Machine Learning Training Data Curation Companies

Scale provides data labeling, model training, and curation services for artificial intelligence (AI) applications, along with a generative AI platform that uses enterprise data to improve AI models. Scale serves the technology sector, government agencies, and the automotive industry. It was formerly known as Scale Labs. The company was founded in 2016 and is based in San Francisco, California.

Voxel51 operates within the artificial intelligence (AI) software industry. The company provides a platform for the curation and evaluation of datasets and AI models to improve the performance of machine learning systems. Voxel51 serves sectors that utilize AI and computer vision technologies, including agriculture, healthcare, robotics, aviation, manufacturing, security, defense, retail, sports, and driving. It was founded in 2018 and is based in Ann Arbor, Michigan.

Snorkel AI focuses on programmatic AI data development within the enterprise AI sector. The company provides a platform that transforms enterprise data and domain knowledge into AI models, facilitating the creation and deployment of AI applications. Snorkel AI's services are used in sectors such as banking and finance, healthcare, insurance, and the public sector. It was founded in 2019 and is based in Redwood City, California.

DatologyAI provides automated data curation for the artificial intelligence sector. The company offers tools that assist in selecting training data for deep learning models, aiming to reduce the need for human intervention. Their solutions aim to integrate into existing infrastructures, handle various data modalities, and utilize unlabeled data to support AI model training. It was founded in 2023 and is based in Redwood City, California.

Lightly focuses on data curation for machine learning, specifically within the realm of computer vision. The company offers services that help in selecting the most impactful subsets of data for model accuracy, reducing data redundancy and bias, and enhancing model training through active and self-supervised learning algorithms. Lightly primarily serves sectors that require efficient data management and machine learning pipeline optimization, such as technology companies with large datasets for computer vision applications. It was founded in 2019 and is based in Zurich, Switzerland.

Lucent creates behavioral datasets for frontier research across various sectors. Its offerings involve compiling data based on real-world product usage to support research. The company serves sectors that require empirical research data, such as academia and market research. It was founded in 2025 and is based in Sacramento, California.

micro1 specializes in AI-driven human data operations and talent recruitment within the artificial intelligence and data science sectors. The company offers services including the recruitment of experts, management of human data operations, and the production of datasets for AI training and development. micro1 serves AI labs, enterprises, BPOs, and robotics companies with its recruitment and data solutions. It was founded in 2022 and is based in Palo Alto, California.

Nillion focuses on decentralized data processing and privacy-enhancing technologies within the blockchain sector. The company offers a secure computing network that enables the confidential training and inference of AI models, as well as the storage and processing of sensitive data using advanced cryptographic methods. Nillion's services cater to industries that require high levels of data security and privacy, such as healthcare, finance, and IoT. It was founded in 2021 and is based in Zug, Switzerland.

Poseidon provides structured datasets for the AI sector, focusing on robotics, multi-modal agents, and other applications. The company offers IP-cleared training data collected with explicit consent, ensuring ownership, licensing, and provenance, which are essential for AI development. Poseidon's services include humanoid robotics, audio transcription, autonomous vehicles, and multi-modal pre-training for foundation models. It was founded in 2025 and is based in Delaware, United States.

Sahara AI offers a decentralized AI blockchain platform that provides a marketplace for AI models and data, tools for AI model development and monetization, and a blockchain infrastructure for asset management. It serves AI developers, resource providers, and application developers interested in building, training, and monetizing AI models and applications. It was founded in 2023 and is based in Camana Bay, Cayman Islands.

Superb AI provides AI and MLOps solutions for various industries. The company offers a platform for the development, deployment, and operation of custom AI models, using real-world industrial data to enhance performance. Superb AI's services are designed for sectors such as autonomous systems, physical security, logistics, and manufacturing. It was founded in 2018 and is based in San Mateo, California.

Surge AI specializes in data labeling and reinforcement learning with human feedback (RLHF). The company offers a platform that provides quality human data for training large language models and AI systems, as well as services for content moderation, search evaluation, and various other use cases. It primarily serves the artificial intelligence and machine learning sectors. It was founded in 2020 and is based in San Francisco, California.

Unstructured specializes in data extraction and transformation and focuses on the technology sector. The company provides services that capture unstructured data from various documents and convert it into AI-friendly formats, such as JSON, facilitating the integration with large language models (LLMs). It was founded in 2022 and is based in Rocklin, California.