Apps Run The World Apps Purchases

Customer	Industry	Empl.	Revenue	Country	Vendor	Application	Category	When	VAR/SI	Insight Source
SEOClerks	Professional Services	50	$5M	United States	Sift Science	Sift Science Digital Trust Platform	ML and Data Science Platforms	2020	n/a
Adobe	Professional Services	31360	$23.8B	United States	Appen	Figure Eight Platform	ML and Data Science Platforms	2016	n/a	In 2016, Adobe deployed the Figure Eight Platform to create high-quality training data for Adobe Stock search and discovery. Adobe Stock contains over 120,000,000 photos, diagrams, videos, and graphics with roughly 150,000 new uploads each day, and Adobe required annotation at scale to surface nuanced image attributes that uploader metadata does not capture. The Figure Eight Platform was configured to run polygon annotation workflows and human-in-the-loop labeling tasks, enabling annotators to draw polygons over copy space and similar features and to mark object isolation characteristics. These functional capabilities produced curated, high-accuracy labeled datasets that informed computer vision model training, and the narrative explicitly references the Figure Eight Platform as the annotation engine. Annotated outputs were consumed by Adobe’s model training pipelines and applied to Adobe Stock search and discovery, extending coverage across the entire catalog and incoming daily uploads. The implementation impacted product search and content discovery functions and supported use cases for marketing customers who need images optimized for overlaid text and clean composition. Governance combined human labeling with existing automated metadata and color attribute extraction, using human-in-the-loop processes to complement rather than replace algorithmic signals. The result is models that better surface images with attributes like copy space and object isolation, enabling users to find highly useful assets more quickly and accelerate marketing content creation.
	Professional Services	9000	$1.0B	Netherlands	Appen	Figure Eight Platform	ML and Data Science Platforms	2017	n/a
	Professional Services	10	$1M	Hong Kong	Appen	Figure Eight Platform	ML and Data Science Platforms	2016	n/a
	Professional Services	10	$1M	United States	Appen	Figure Eight Platform	ML and Data Science Platforms	2016	n/a
	Professional Services	4977	$445M	Brazil	SAP	SAP Leonardo Machine Learning	ML and Data Science Platforms	2017	n/a
	Professional Services	320	$124M	United States	Google	Google Cloud Machine Learning Engine	ML and Data Science Platforms	2017	n/a
	Professional Services	1400	$200M	South Africa	SAP	SAP Leonardo Machine Learning	ML and Data Science Platforms	2018	n/a
	Professional Services	4261	$286M	Japan	Microsoft	Microsoft Azure Machine Learning	ML and Data Science Platforms	2018	n/a
	Professional Services	2961	$946M	United States	Salesforce	Salesforce Sales Cloud	Sales Automation,CRM,Sales Engagement	2010	n/a

Logo

Customer

Industry

Empl.

Revenue

Country

Vendor

Application

Category

When

VAR/SI

Insight

Insight Source

SEOClerks

Professional Services

$5M

United States

Sift Science

Sift Science Digital Trust Platform

ML and Data Science Platforms

2020

n/a

Adobe

Professional Services

31360

$23.8B

United States

Appen

Figure Eight Platform

ML and Data Science Platforms

2016

n/a

In 2016, Adobe deployed the Figure Eight Platform to create high-quality training data for Adobe Stock search and discovery. Adobe Stock contains over 120,000,000 photos, diagrams, videos, and graphics with roughly 150,000 new uploads each day, and Adobe required annotation at scale to surface nuanced image attributes that uploader metadata does not capture. The Figure Eight Platform was configured to run polygon annotation workflows and human-in-the-loop labeling tasks, enabling annotators to draw polygons over copy space and similar features and to mark object isolation characteristics. These functional capabilities produced curated, high-accuracy labeled datasets that informed computer vision model training, and the narrative explicitly references the Figure Eight Platform as the annotation engine. Annotated outputs were consumed by Adobe’s model training pipelines and applied to Adobe Stock search and discovery, extending coverage across the entire catalog and incoming daily uploads. The implementation impacted product search and content discovery functions and supported use cases for marketing customers who need images optimized for overlaid text and clean composition. Governance combined human labeling with existing automated metadata and color attribute extraction, using human-in-the-loop processes to complement rather than replace algorithmic signals. The result is models that better surface images with attributes like copy space and object isolation, enabling users to find highly useful assets more quickly and accelerate marketing content creation.

Professional Services

9000

$1.0B

Netherlands

Appen

Figure Eight Platform

ML and Data Science Platforms

2017

n/a

Professional Services

$1M

Hong Kong

Appen

Figure Eight Platform

ML and Data Science Platforms

2016

n/a

Professional Services

$1M

United States

Appen

Figure Eight Platform

ML and Data Science Platforms

2016

n/a

Professional Services

4977

$445M

Brazil

SAP

SAP Leonardo Machine Learning

ML and Data Science Platforms

2017

n/a

Professional Services

320

$124M

United States

Google

Google Cloud Machine Learning Engine

ML and Data Science Platforms

2017

n/a

Professional Services

1400

$200M

South Africa

SAP

SAP Leonardo Machine Learning

ML and Data Science Platforms

2018

n/a

Professional Services

4261

$286M

Japan

Microsoft

Microsoft Azure Machine Learning

ML and Data Science Platforms

2018

n/a

Professional Services

2961

$946M

United States

Salesforce

Salesforce Sales Cloud

Sales Automation,CRM,Sales Engagement

2010

n/a

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