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Founded Year

2023

Stage

Series A | Alive

Total Raised

$57.65M

Last Raised

$46M | 10 mos ago

About DatologyAI

DatologyAI specializes in automated data curation for the artificial intelligence sector, focusing on optimizing the data used to train machine learning models. The company offers tools that automatically select and curate data, essential for training efficient and effective deep learning models without the need for manual labeling. Its tools are designed to be modality-agnostic, capable of handling various data types such as text, images, and video, and scalable to support large datasets. It was founded in 2023 and is based in Redwood City, California.

Headquarters Location

1001 Main Street

Redwood City, California, 94063,

United States

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ESPs containing DatologyAI

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Data Management

​​The machine learning training data curation market offers solutions to support data quality control in the AI algorithm training process. These solutions help organizations complete key tasks, such as selecting the best subsets of data for training models, triaging datasets for bias, and identifying labeling errors. Ultimately, these solutions help minimize the downstream effects of poor-quality…

DatologyAI named as Challenger among 6 other companies, including Scale, Snorkel AI, and Voxel51.

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Research containing DatologyAI

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned DatologyAI in 1 CB Insights research brief, most recently on Jul 2, 2024.

Expert Collections containing DatologyAI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

DatologyAI is included in 3 Expert Collections, including AI 100 (2024).

A

AI 100 (2024)

100 items

A

Artificial Intelligence

7,146 items

G

Generative AI

1,306 items

Companies working on generative AI applications and infrastructure.

Latest DatologyAI News

DatologyAI, which aims to help researchers better curate AI training datasets, raised a $46M Series A led by Felicis, after a $11.65M seed in February 2024 (Stephanie Palazzolo/The Information)

May 8, 2024

Stephanie Palazzolo / The Information: DatologyAI, which aims to help researchers better curate AI training datasets, raised a $46M Series A led by Felicis, after a $11.65M seed in February 2024  —  For all that's leaked about the sizes and architectures of the advanced large language models developed by OpenAI and its ilk …

DatologyAI Frequently Asked Questions (FAQ)

  • When was DatologyAI founded?

    DatologyAI was founded in 2023.

  • Where is DatologyAI's headquarters?

    DatologyAI's headquarters is located at 1001 Main Street, Redwood City.

  • What is DatologyAI's latest funding round?

    DatologyAI's latest funding round is Series A.

  • How much did DatologyAI raise?

    DatologyAI raised a total of $57.65M.

  • Who are the investors of DatologyAI?

    Investors of DatologyAI include Amplify Partners, Radical Ventures, Felicis, Amazon Alexa Fund, M12 and 14 more.

  • Who are DatologyAI's competitors?

    Competitors of DatologyAI include Tasq.ai and 5 more.

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Compare DatologyAI to Competitors

Labelbox Logo
Labelbox

Labelbox develops a training data platform for machine learning teams to build real-world artificial intelligence (AI) solutions. The platform consists of label editor tools for batch and real-time labeling workflows, collaboration, quality review, analytics, and more. It serves the government, retail, insurance, manufacturing, and healthcare sectors. It was founded in 2018 and is located in San Francisco, California.

SuperAnnotate Logo
SuperAnnotate

SuperAnnotate is an AI data platform that creates, manages, and evaluates training data for AI models across various sectors. The company provides tools for data management and building CI/CD pipelines, as well as services for integrating and processing data from multiple sources. SuperAnnotate serves sectors that require AI development, including large language models, computer vision, and natural language processing. It was founded in 2018 and is based in San Mateo, California.

Medcase Logo
Medcase

Medcase operates within the telehealth and medical data sectors. It connects organizations with healthcare professionals for virtual care services and offers data solutions, including medical data annotation and labeling. Medcase serves the pharmaceutical, biotechnology, telehealth infrastructure, clinical staffing, and medical device industries. Medcase was formerly known as Edgecase AI. It was founded in 2021 and is based in Hingham, Massachusetts.

Select Star Logo
Select Star

Select Star develops an artificial intelligence data crowdsourcing platform. The company provides a service that performs client-requested data collection/semi-automatic labeling through the users of its mobile app Cash Mission, examining all tasks to ensure high-quality data. Select Star was founded in 2018 and is based in Daejeon, South Korea.

Datasaur Logo
Datasaur

Datasaur specializes in NLP data labeling and LLM development platforms. It offers a suite of tools for customizable data annotation, quality control management, and automation to enhance the efficiency of NLP and LLM projects. Datasaur's products are designed to meet the complex needs of industries such as legal, healthcare, financial, media, e-commerce, and government. It was founded in 2019 and is based in Livermore, California.

Lightly Logo
Lightly

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.

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