Enterprise Tech / Data ManagementBI & Operational Intelligence

Best Data Annotation Companies

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER

What is Data Annotation?

Well-labeled training data is the foundation of AI projects, such as teaching an autonomous car to identify pedestrians and traffic signs or a diagnostic system to differentiate between normal and anomalous medical scans. Companies in this space are streamlining a traditionally human-intensive workflow with AI-assisted labeling platforms.

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Top Data Annotation Companies

Labelbox logo
Labelbox

United States / Founded Year: 2018

Labelbox offers 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.

Known Partners

Peroptyx, Snowflake, DataRobot, and 2 more

Key People

Dan Rasmuson, Manu Sharma, Brian Rieger, and 2 more

Sama logo
Sama

United States / Founded Year: 0000

Sama provides accurate data for ambitious AI. Its training data platform develops accurate machine learning models specializing in image, video, and sensor data annotation and validation for machine learning algorithms in industries including transportation, retail and e-commerce, consumer and media, MedTech, manufacturing and robotics, and agriculture. The company was founded in 2008 and is based in San Francisco, California.

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V7 logo
V7

United Kingdom / Founded Year: 0000

V7 provides artificial intelligence (AI) computer vision. The platform offers image annotation, dataset management, model management and more solutions. It operates in agriculture, automotive, construction, energy, food and beverage, government, healthcare and more. The company's Aipoly offers an app for the blind and visually impaired. The company was founded in 2018 and is based in London, U.K.

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Key People

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Snorkel AI logo
Snorkel AI

United States / Founded Year: 0000

Snorkel AI is the developer of a system for programmatically building and managing training datasets. The company's platform allows users to develop training datasets. The company was founded in 2019 and is based in Redwood City, California.

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All Companies in Data Annotation

Centaur Labs logo
Centaur Labs

United States / Founded Year: 0000

Centaur Labs enables customers to build AI algorithms that detect cancers and fight disease. The company uses crowdsourcing to label medical images and video datasets. On its iOS app, DiagnosUs, medical students and professionals already analyze tens of thousands of images per day. The opinions of multiple people and algorithms are then combined into one highly accurate analysis.

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CloudFactory logo
CloudFactory

United Kingdom / Founded Year: 0000

CloudFactory creates economic and leadership opportunities for talented people in developing nations. It is a distributed labor platform offering human and machine intelligence. The company was founded in 2010 and is based in Reading, U.K.

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CrowdWorks

South Korea / Founded Year: 0000

Crowdworks provides tailored artificial intelligence (AI) training data to empower clients' machine learning and deep learning models. Its patented AI-powered annotation platform 'Workstage' ensure high-quality data annotation. CrowdWorks was founded in 2016 and is based in Seoul, South Korea.

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Dataloop logo
Dataloop

Israel / Founded Year: 0000

Dataloop provides an enterprise-grade data platform for vision AI systems in development and in production. It specializes in high volume and complex data and helps a wide range of deep learning teams automate their data preparation processes. It caters its services to retail, drones, aerial imagery, robotics, autonomous vehicles, precision agriculture, media, and content industries. The platform provides features such as lidar data annotation, data annotation, data operations, and deep learning. The company was founded in 2017 and is based in Herzliya, Israel.

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Hive

United States / Founded Year: 0000

Hive provides cloud-based artificial intelligence (AI) solutions. The company offers services that include pre-trained artificial intelligence (AI) models served via an application programming interface (API) and a suite of enterprise applications. It offers services that include automated content moderation, brand protection and platform integrity, advertising and sponsorship measurement, and more. The company serves the automotive and transportation, financial services and insurance, media and entertainment, communications, manufacturing, travel, retail, restaurants, and utility industries. It was founded in 2013 and is based in San Francisco, California.

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iMerit Technology Services logo
iMerit Technology Services

India / Founded Year: 0000

iMerit provides data annotation and enrichment services using an advanced full-time workforce and multi-variant tooling capabilities. The company's work powers advanced algorithms in Machine Learning, Computer Vision, Natural Language Processing, e-commerce, and augmented reality.

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Lightly

Switzerland / Founded Year: 0000

Lightly offers a data curation platform for machine learning (ML). It uses ML to provide all the needed elements for data preparation, such as anonymization, augmentation, and filtering. It was founded in 2018 and is based in Zurich, Switzerland.

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Mindflow Technolgy

China / Founded Year: 0000

Mindflow Technology provides artificial intelligence data annotation and collection services that use artificial intelligence and extensive data analysis technologies to provide enterprises with modern solutions. The company was founded in 2018 and is based in Hangzhou, China.

Scale AI logo
Scale AI

United States / Founded Year: 0000

Scale AI is an API for human labor that allows developers to enter requests for humans to complete menial, repetitive tasks that cannot be done by a computer. With Scale, developers can get information screened for duplicates and mismatches and have user-generated content moderated and categorized.

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Super.AI logo
Super.AI

United States / Founded Year: 0000

Super.AI develops an artificial intelligence (AI) enablement platform for accelerating machine learning projects by using AI. Its solutions include unstructured data processing, intelligent document processing, and document processing crowds. It was formerly known as Canotic. It was founded in 2017 and is based in San Francisco, California.

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Superb AI logo
Superb AI

United States / Founded Year: 0000

Superb AI uses AI to customize training data for large tech companies. The company's Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers, and data annotators create efficient training data workflows through its filter and search, auto-labeling AI, and ML Ops integration solutions. It was founded in 2018 and is based in San Mateo, California.

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Our Methodology

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

What is Data Annotation?

Well-labeled training data is the foundation of AI projects, such as teaching an autonomous car to identify pedestrians and traffic signs or a diagnostic system to differentiate between normal and anomalous medical scans. Companies in this space are streamlining a traditionally human-intensive workflow with AI-assisted labeling platforms.

Expert Collections

Subscribe for more information

Market Map

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Do you compete within Data Annotation?

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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.