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GumGum

GumGum

GumGum is a Santa Monica, California-based developer of computer vision and machine learning systems for contextually driven advertising and brand protection.

OverviewStructured DataIssuesContributorsActivity

Contents

gumgum.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Marketing
Marketing
Computer Vision
Computer Vision
Technology
Technology
Advertising
Advertising
Pattern recognition
Pattern recognition
Location
Santa Monica, California
Santa Monica, California
0
B2X
B2B
B2B
CEO
Phil Schraeder
Phil Schraeder
0
Founder
Ophir Tanz
Ophir Tanz
0
AngelList URL
angel.co/gumgum
Pitchbook URL
pitchbook.com/profiles.../51542-38
Number of Employees (Ranges)
501 – 1,0000
Email Address
pr@gumgum.com
Phone Number
+18445227270
Full Address
1314 7th St., Floor 5, Santa Monica, California 90401, US
Investors
CrossCut Ventures
CrossCut Ventures
Upfront Ventures
Upfront Ventures
First Round Capital
First Round Capital
0
Michael Jones (entrepreneur)
Michael Jones (entrepreneur)
‌
Morgan Stanley Expansion Capital
NEA (New Enterprise Associates)
NEA (New Enterprise Associates)
Founded Date
2008
0
Total Funding Amount (USD)
107,825,000
Latest Funding Round Date
April 13, 2021
Competitors
seedtag
seedtag
0
NeoEdge Networks
NeoEdge Networks
AdRoll
AdRoll
Qwarry
Qwarry
0
Nativo (formerly PostRelease)
Nativo (formerly PostRelease)
0
Yieldmo
Yieldmo
0
Marin Software
Marin Software
0
Zedo
Zedo
0
...
Latest Funding Type
Series D
Series D
Patents Assigned (Count)
18
Wellfound ID
gumgum

Other attributes

Blog
blog.gumgum.com
Company Operating Status
Active
Funding Type
Seed
Seed
Latest Funding Round Amount (USD)
75,000,000
Public/Private
Private
Overview

GumGum is an artificial intelligence company with a focus on computer vision. Since 2008, the company has served a variety of industries, ranging from advertising to professional sports. The company also helps rights holders assess the media value of their sports sponsorships. GumGum uses its proprietary computer vision technology, based on machine learning and deep learning, to identify content relevant to marketers to deliver contextual advertising campaigns and insights in line with content users who are already engaged with brands and agencies.

The company was founded in 2008 by Ophir Tanz and is headquartered in Santa Monica, California. The company's customers have included Hershey, SAP, JW Player, Dentsu, Havas Media, Vodafone, Pacifica, Bose, Ripple Milk, Garmin, Jeep, Johnsonville Sausage, BMW, Mini, and KFC.

Platform
Verity

GumGum's contextual intelligence technology platform, Verity, uses machine learning and deep learning to scan text, images, audio, and video to derive understanding. This includes a full suite of contextual signals to allow both buy-side and sell-side to define and implement brand safety and suitability. The platform works for content categories, prominent keywords, sentiment, and threat categories and risk.

The Verity platform has been developed to allow brands and companies to bid on programmatic ads without concern that their ads will end up on potentially brand-damaging content and includes pre-bid contextual targeting at scale to ensure advertisers reach users in contextually-relevant, brand-safe, and brand-suitable environments. This measures and classifies a page before the impression is served for more accurate and effective cookieless targeting for advertisers.

For advertisers

GumGum's computer vision technology scans images and videos across multiple platforms, allowing contextually relevant ads where users are most likely to see them. Their technology uses computer vision to scan images, videos, and the content that surrounds them. The contextual platform includes keywords, categories, threats and page safety, and sentiment to ensure ads are placed in the best context. It does not rely on third-party data tracking consumer behavior through cookies to both try and protect consumers and ensure campaigns can comply with changing privacy regulations and guarantee brand safety.

GumGum also offers various ad solutions developed to take advantage of the company's contextual engine while offering a combination of advertising types to meet a brand's goals. This includes in-image ads, where the ad is placed in a relevant image on the paper; in-screen ads, where the ad comes as the user scrolls but stays as a banner on the bottom of the page; in-article ads, where the ad is a multi-frame interactive unit within relevant content; skins, which are ads that expand across a screen to seamlessly integrate with the content and include interactive features; and standard display ads.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

GumGum and The Trade Desk Partner to Bring Highly Viewable In-Image Advertising Formats to Brands Programmatically

https://www.businesswire.com/news/home/20150929005272/en/GumGum-and-The-Trade-Desk-Partner-to-Bring-Highly-Viewable-In-Image-Advertising-Formats-to-Brands-Programmatically

Web

September 29, 2015

GumGum Creative Gallery

https://gallery.gumgum.com/

Web

GumGum Integrates Attention Measurement Into All Contextual Campaigns

GumGum

https://www.globenewswire.com/en/news-release/2022/11/08/2550386/0/en/GumGum-Integrates-Attention-Measurement-Into-All-Contextual-Campaigns.html

Web

November 8, 2022

GumGum sees promising future with contextual advertising

https://www.contentgrip.com/gumgum-contextual-advertising-tool/

Web

June 18, 2021

GumGum sees promising future with contextual advertising

https://www.contentgrip.com/gumgum-contextual-advertising-tool/

Web

June 18, 2021

References

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