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Founded Year

2023

Stage

Series A | Alive

Total Raised

$57.65M

Last Raised

$46M | 6 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 / Development

​​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 2 Expert Collections, including AI 100 (2024).

A

AI 100 (2024)

100 items

A

Artificial Intelligence

6,888 items

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, Amazon Alexa Fund, M12, Felicis 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 focuses on artificial intelligence and data management. The company offers a platform for building, iterating, and managing AI models using training data. It provides advanced annotation and quality assurance tools, data curation, automation features, and data governance. SuperAnnotate primarily serves sectors such as agriculture, healthcare, insurance, sports, autonomous driving, robotics, aerial imagery, natural language processing, and security and surveillance. It was founded in 2018 and is based in San Mateo, California.

Dataloop Logo
Dataloop

Dataloop provides an enterprise-grade data platform for vision artificial intelligence (AI) systems in development and production. It specializes in high-volume and complex data and helps a wide range of deep-learning teams automate their data preparation processes. The company was founded in 2017 and is based in Herzliya, Israel.

Scale Logo
Scale

Scale provides a data engine platform. The platform provides generative artificial intelligence (AI) strategies, including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise applications. It serves industries such as retail, electronic commerce, logistics, and more. Scale was formerly known as Scale Labs. It was founded in 2016 and is based in San Francisco, California.

D
Diffgram

Diffgram focuses on artificial intelligence (AI) data management. It offers a platform for labeling, workflow, and storage of AI data, with features such as human supervision for data labeling, data workflow for data movement between AI applications, and a user interface (UI) Catalog for visual exploration of the AI datastore. The company primarily serves the artificial intelligence industry. It was founded in 2019 and is based in Irvine, California.

E
Edgecase

Edgecase is a company that specializes in the development of high-quality, human-annotated training data and synthetic data for machine learning and artificial intelligence, operating within the AI and Image Recognition industry. The company offers services such as data labeling and the generation of synthetic data, which are used to train AI and ML systems. Edgecase primarily serves sectors such as retail, agriculture, medicine, security, and industry 4.0. It was founded in 2017 and is based in Hingham, Massachusetts.

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