Silverpush Partners with IRIS.TV

Silverpush, the leading AI powered adtech solutions provider for brands and agencies, announced today its integration with IRIS.TV, the leading video data platform. Marketers will now be able to use Mirrors by Silverpush solutions to target relevant, brand-safe video inventory across thousands of IRIS-enabled™ premium publishers and billions of monthly video impressions worldwide.

Mirrors enables precise, transparent, and effective brand safety and suitability solutions for online videos through its advanced AI and machine learning capabilities. With this partnership, Silverpush will further bolster its leadership position in contextual marketing, which will now be applied to CTV inventory through IRIS.TV’s video data platform.

IRIS.TV simplifies the complexity and fragmentation of the video ecosystem across CTV and premium digital video, providing access, for the first time, to video-level data. Before IRIS.TV, contextual and brand-safety data for videos was only available by analyzing the text on a web page, and was an impossibility for CTV. Now, marketers can “think inside the video” with the transparency to confidently buy CTV and premium video inventory based on video-level contextual, brand-safety analysis and the specific topical nature of every video, in concert with Silverpush.

“For brands looking to shift their linear television investment to Connected TV, transparency and brand safety should be the top priority. With our partnership with IRIS.TV, brands can now leverage our contextual data to ensure every dollar spent on premium and CTV video aligns with industry-standard safety and suitability frameworks while having full transparency into their buys in these preferred video buying environments,” said Kartik Mehta, Co-Founder and COO of Silverpush. 

“By making video-level data accessible, we create better viewing experiences for audiences, enhance publisher inventory and deliver high advertising outcomes in the ecosystem,” said Field Garthwaite, Co-Founder and CEO, of IRIS.TV. “As an industry leader in contextual targeting and brand suitability, Silverpush offers its customers the ability to unlock video-level context, ensure brand safety, increase ROI, and make better decisions across more streaming video and CTV campaigns.” 

IRIS.TV unites thousands of potential integrations into a single video data platform, bringing together publishers, contextual data partners, ad servers, and SSPs into a ecosystem that allows publishers’ video content to be analyzed and categorized into industry-accepted brand-safe and brand-suitable segments that can be purchased by marketers through any DSP via direct, private marketplace, and open auction buying.

About Silverpush

Silverpush offers artificial intelligence powered advertising technology solutions. Helping some of the largest brands globally, to understand and reach their customers, like never before. With its deep learning and computer vision powered platform Mirrors, Silverpush helps brands discover their most relevant audience through context relevant video ad placement targeting, in a brand safe environment. Our mission is to offer data driven solutions to complex client problems, using cutting edge technology. We are focused on further developing proprietary metrics around advanced computer vision capabilities that can be applied to new use cases in the media industry, and can in the future serve a variety of other industries and use cases. With global presence in 12 offices across APAC, Middle East, Africa, Europe and US, Silverpush continues to serve 150+ brands worldwide. More information available at


IRIS.TV is the only data platform built for video. We provide video data connectivity to enable better viewing experiences and advertising outcomes. For CTV and online video, we structure, connect, and activate the world’s video-level data. Since 2013, we’ve enabled our partners to build scalable solutions on top of our platform for video-level contextual and brand-safe ad targeting, verification, planning, measurement, and video recommendations. For more information, visit