---
title: EX.CO Wins Ad Tech Innovation of the Year at the Convergent TV Awards
description: EX.CO wins Ad Tech Innovation of the Year at the Convergent TV Awards for its machine learning technology transforming CTV monetization and programmatic auction decisioning.
image: https://blog.ex.co/hubfs/Blog_Award-Template.png
---

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# EX.CO Wins Ad Tech Innovation of the Year at the Convergent TV Awards

 March 10, 2026 - by [Tammy Blythe Goodman](https://blog.ex.co/author/tammy-blythe-goodman)

![EX․CO wins at the Convergent TV Awards](https://blog.ex.co/hubfs/Blog_Award-Template.png "EX․CO wins at the Convergent TV Awards")

EX.CO is proud to announce that we’ve been named **Ad Tech Innovation of the Year — Infrastructure & Ecosystem** at the **Convergent TV Awards**, recognizing our work applying machine learning to the next generation of CTV monetization.

The winning submission, ***“EX.CO’s Machine Learning Technology Redefines CTV Monetization,”*** which is based on our [PlayWorks case study](https://ex.co/case-studies/ex-co-playworks/), highlights how intelligent auction decisioning and predictive modeling can help media owners navigate the growing complexity of programmatic video.

![EX․CO accepts Convergent TV Award.](https://blog.ex.co/hs-fs/hubfs/IMG_6096%20(1).jpg?width=333&height=500&name=IMG_6096%20(1).jpg)

As CTV continues to mature, monetization is becoming significantly more complicated. Media owners are managing multiple demand sources, fragmented supply paths, and increasing pressure to maximize revenue without compromising the viewer experience.

In this environment, **smarter infrastructure matters**.

EX.CO’s machine learning technology was built to help media owners make better programmatic decisions across every stage of the auction process — from evaluating demand signals to optimizing inventory allocation. By continuously analyzing performance data and running large-scale experimentation across the network, the technology helps publishers unlock greater yield while maintaining control over how their inventory is monetized.

This approach is especially important as the boundaries between **CTV, online video, and other digital environments continue to blur**. The industry is moving toward a more unified video ecosystem where monetization strategies must work seamlessly across screens.

For media owners, that means having technology that can intelligently manage demand, optimize auctions, and adapt to evolving market conditions.

Winning this award is also a reflection of the incredible collaboration happening across the EX.CO team — from engineering and product to data science, customer success, marketing, and sales. Building advanced video infrastructure requires deep cross-functional expertise, and this recognition highlights the impact of that work.

The **Convergent TV Awards**, presented by Cynopsis, celebrate the companies and innovators shaping the future of streaming, connected TV, and converged video ecosystems. Being recognized in the **Ad Tech Innovation of the Year** category underscores the growing importance of machine learning and intelligent infrastructure in the evolution of programmatic video.

As the CTV landscape continues to evolve, EX.CO remains focused on one goal: helping media owners maximize the value of their video inventory across **CTV, web, mobile, and emerging screens** — with technology designed to make video monetization **simply smarter**.

*Interested in learning more about our machine learning-driven yield engine? Submit your information below.*

### Speak to an expert

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## About Tammy Blythe Goodman

Tammy Blythe Goodman is VP, Brand Marketing & Communications at EX.CO. Prior to joining EX․CO in 2022, Tammy managed global communications at Taboola, Innovid, and SpotX, respectively. She has an MFA in Film from Columbia University and a BA in Communications and Literature from American University. Tammy lives in New York City and is a proud rescue dog owner and passionate pluviophile.

[More posts by Tammy Blythe Goodman](https://blog.ex.co/author/tammy-blythe-goodman)

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