Zefr

Zefr

Contextual video advertising platform with privacy

About Zefr

Simplify's Rating
Why Zefr is rated
C
Rated C on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & Analytics

Consumer Software

Enterprise Software

Company Size

201-500

Company Stage

Series E

Total Funding

$65.1M

Headquarters

Los Angeles, California

Founded

2009

Overview

Zefr provides privacy-friendly contextual advertising, focusing on placing ads alongside video content on platforms like YouTube and Facebook without using personal data. Its Contextual Data Management Platform captures and organizes brands’ preferences to activate targeted campaigns with pre-flight targeting and impression-level transparency. The product works by analyzing contextual signals to ensure ads appear next to content aligned with a brand’s values, delivering customized video-level targeting that aims to boost metrics such as view-through rates, aided awareness, and brand favorability. Compared with competitors, Zefr emphasizes privacy compliance and transparent targeting, offering dynamic, video-focused solutions that optimize ad performance while respecting user privacy. The goal is to help brands reach the right audiences in a privacy-safe way and achieve a stronger return on investment for their video campaigns.

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Simplify's Take

What believers are saying

  • Zain hub unifies YouTube, TikTok, Meta workflows launched April 30, 2026.
  • Jon Morra's February 2024 CAIO role advances video AI analysis.
  • Demand Gen focus captures YouTube's fastest-growing ad format share.

What critics are saying

  • Google's native Demand Gen AI erodes Zain's value in 6-12 months.
  • IAS and DoubleVerify displace Zefr on Snapchat within 12-18 months.
  • TikTok's proprietary tools eliminate Zefr measurement revenue in 3-6 months.

What makes Zefr unique

  • Patented Cognition AI enables content-level targeting on YouTube and Meta.
  • Industry-first AdCP integration automates YouTube campaign activation via Zain.
  • MCP server connects brands' AI agents directly to Zefr's contextual data.

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Funding

Total Funding

$65M

Below

Industry Average

Funded Over

7 Rounds

Notable Investors:
Series E funding typically includes additional rounds after Series D if the company needs more capital. The business is usually stable, and these rounds are typically used for further expansion or to address market challenges.
Series E Funding Comparison
Below Average

Industry standards

$100M
$5M
Zefr
$245M
Stripe
$250M
Reddit
$1.3B
Epic Games
$1.5B
Airbnb

Benefits

Flexible Paid Time Off

Medical, dental, and vision insurance with FSA options

Company-paid life insurance

Paid parental leave

401(k) with company match

Professional development opportunities

14 paid holidays off

Flexible hybrid work schedules

Summer Fridays

In-office lunches and lots of free food

Optional in-person and virtual events (we like to celebrate!)

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Omnicom Media Transform
Mar 3rd, 2026
Zefr and OM Media Trials Release First-of-Its-Kind Study on Brand Impact of Ad Adjacency to AI-Generated Content

Zefr and OM Media Trials release first-of-its-kind study on brand impact of Ad Adjacency to AI-Generated Content. Zefr, the global leader in brand suitability technology for social platforms, in collaboration with OM Media Trials, today released new research, AI Slop or Not? Navigating the Risks and Opportunities of Ad Adjacency to AI-Generated Content, the industry's first study to directly measure how advertising performs when placed next to different types of AI-generated content. The study was conducted by OM Media Trials, a dedicated team within Omnicom Media that leads customized research with media owners and adtech platforms to explore how media impacts consumer decisioning in the age of influence, across both the United States and Canada, enabling a cross-market view of how consumers perceive AI-generated content and brand adjacency. While most existing research has focused on how brands use AI in creative, this study uniquely examines the real-world impact of ad adjacency to AI content itself, and how consumers respond when brands appear next to a growing range of AI-driven videos and imagery. The findings challenge the growing tendency to label all AI content as "slop." Instead, the research demonstrates that there is a meaningful difference between low-quality, deceptive or spam-like AI content and creative, entertaining, or brand-aligned AI experiences. "AI content is rapidly becoming unavoidable for advertisers, but treating all AI as a single risk category is both inaccurate and limiting," said Jon Morra, Chief AI Officer at Zefr. "This research shows that some AI environments can drive positive brand outcomes, while others introduce real brand risk. The difference lies in the type of AI content and how it aligns with brand values." AI is reshaping what audiences believe is real Beyond brand safety, the study highlights a deeper challenge facing digital media: consumers are increasingly unsure whether what they see online is real or AI-generated. In fact, 32% of people mistakenly believe human-created content is AI-generated, and audiences most frequently misidentify AI content involving public figures and sexualized imagery as real. AI content can deliver positive brand outcomes AI-generated content is not inherently harmful for brands. Across several AI sub-categories, including satire, humorous youth depictions and creative expression, ad adjacency drove increases in ad recall and perceptions of innovation, demonstrating that some AI environments can enhance brand impact rather than diminish it. This finding is especially important as AI-generated and AI-assisted videos continue to rapidly increase across platforms and as more creators adopt generative tools as part of their everyday content production workflows. By contrast, negative outcomes were most closely associated with spam-like or misleading AI content and with environments that created uncertainty for viewers. Consumers draw clear boundaries for brands Consumers are not neutral on the issue. Eighty-one percent of people say there is at least one type of AI-generated content that is inappropriate for brands to appear next to. When inappropriate alignment occurs, responsibility is shared across the ecosystem, spanning brands, platforms and content creators. The study also found that consumers in Canada are more sensitive to brand adjacency with AI-generated content across categories compared to the United States. Clarity and transparency improve brand outcomes In addition, the research found that clarity can materially improve consumer response to advertising near AI content. Forty-one percent of consumers say they feel more positive about a brand when AI content is clearly labeled, while trusted creators and transparent use of AI tools further improve brand perceptions. By contrast, when consumers cannot tell whether content is AI-generated or human-created, brand performance declines across favorability, trust and purchase intent. "AI content is only going to become more prevalent in the months and years ahead," said Kara Manatt, EVP of Intelligence Solutions at OM Media Trials. "The solution is not to shut off an entire category of content, but to give brands the control and intelligence to align with the right AI environments, and avoid the ones that create risk." Brands can work with Zefr to define their own AI suitability thresholds and apply customized controls that enable them to align with, limit or avoid specific AI content categories based on their unique brand values and risk preferences. About Zefr Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr's platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Its products safeguard media and AI investments, while maximizing performance and efficacy on those channels. Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI. To learn more, visit zefr.com. About OM Media Trials OM Media Trials is a dedicated research unit within Omnicom Media that partners with media owners and adtech platforms to explore how media and creative impact consumers' decision-making in the age of influence. By using the latest technology, intelligent tools, and innovative research methods, OM Media Trials quantify the effectiveness and impact of new ad products and marketing strategies, delivering data and insights that can improve performance. And with access to powerful brands through the world's largest global media management network, this customized research is built on real world campaigns and signals.

Auganix
Nov 5th, 2024
Zefr Unveils Brand Safety Features for Snapchat's Ad Ecosystem

November 5, 2024 - Zefr, a provider of brand suitability and content measurement solutions for walled garden environments, has recently announced the launch of its new 'Brand Safety and Suitability Measurement' solution for Snapchat, marking the latest expansion of Zefr's measurement capabilities to one of the world's most popular social platforms.

ExchangeWire
Sep 27th, 2024
Zefr Announces Brand Safety & Suitability Measurement Capability for its Misinformation Category on YouTube

Zefr announces Brand Safety & Suitability measurement capability for its misinformation category on YouTube.

ExchangeWire
Feb 14th, 2024
Zefr Elevates Brand Safety with Promotion of Jon Morra to Chief AI Officer and Launches Cutting-Edge AI Advancements

Zefr, the global leader in brand safety and suitability technology, proudly announces the promotion of Jon Morra as its new Chief AI Officer.

MarTech Series
Feb 13th, 2024
Zefr Elevates Brand Safety With Promotion Of Jon Morra To Chief Ai Officer And Launches Cutting-Edge Ai Advancements

Zefr, the global leader in brand safety and suitability technology, proudly announces the promotion of Jon Morra as its new Chief AI Officer. With an extensive background in Machine Learning, Data Science, and Artificial Intelligence, Dr. Jon Morra is positioned to leverage advanced ML and AI techniques to meet the core needs of Zefr’s customers. In this pivotal role, Morra will spearhead the integration of emerging AI technologies, including Large Language Models, advanced computer vision techniques, and video analysis into Zefr’s technology stack, aiming to refine the brand experience by providing even deeper insights to Fortune 100 advertisers worldwide.Morra has been with Zefr since 2016, yet his journey in AI and machine learning began at Johns Hopkins University, where he earned a BSE in Biomedical Engineering, followed by a MSE (2007) and a Ph.D. from UCLA (2009) in the same field. His unique blend of academic excellence and professional experience, including pivotal roles at eHarmony as Director of Data Science and a venture in radiation oncology leveraging machine learning, equips him with the necessary expertise to innovate in the brand safety domain.Marketing Technology News: 10th Annual Customer Engagement Study Reveals Generational Shifts in How IT Decision Makers Engage with Technology Content and Advertising“I am thrilled to leverage the vast and diverse dataset of social media to deliver unparalleled value to our customers,” Morra stated, emphasizing his commitment towards using AI to enhance the effectiveness of brand advertising on social media platforms.Morra’s strategic vision for AI and Machine Learning across Zefr’s operations, along with the development of core ML technologies, underscores a significant stride forward in Zefr’s mission to strengthen responsible marketing environments for brands

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