EX.CO has been recognized in ADWEEK’s 2026 Tech Stack Awards, highlighting the growing role of machine learning and automation in solving one of digital publishing’s persistent challenges: monetizing video inventory without adding layers of operational complexity.
The video technology company won in the Sell-Side Programmatic Product/Platform category. EX.CO provides publishers with an online video platform (OVP) that combines content recommendations, video infrastructure, and programmatic yield optimization in a single system.
The recognition comes as publishers face an increasingly complicated digital advertising environment. Video inventory can generate significant revenue, but operating the underlying technology requires expertise across content management, advertising optimization, user experience, analytics, and infrastructure.
EX.CO’s proposition is to consolidate those functions while using machine learning to automate decisions across a publisher’s video inventory.
EX.CO Targets the Publisher-Side Video Monetization Problem
Digital publishers have traditionally faced a difficult trade-off with video.
Video can attract higher-value advertising demand and increase audience engagement, but running a video operation can require substantial technical and editorial resources. Publishers must manage players, content recommendations, ad delivery, yield optimization, page performance, and monetization simultaneously.
EX.CO’s platform attempts to address those challenges through a unified OVP.
The company’s technology combines intelligent content recommendations with a yield engine that it says makes more than 500 billion pricing decisions every day.
The underlying concept is familiar to programmatic advertising: automated systems evaluate available signals and determine how inventory should be priced or monetized.
The scale of EX.CO’s claimed decision volume, however, illustrates how quickly optimization becomes difficult for human teams when publishers operate across large amounts of inventory.
Machine learning can evaluate numerous variables and adjust decisions continuously, potentially allowing publishers to optimize yield without requiring advertising operations teams to manually intervene in every scenario.
Machine Learning Moves Deeper Into the Sell-Side Stack
Programmatic advertising has already automated much of the buying process. Demand-side platforms allow advertisers and agencies to automate bidding and audience activation, while supply-side platforms help publishers manage inventory and connect with demand.
The next layer of competition is increasingly around optimization.
For publishers, the question is not merely whether inventory can be sold programmatically. It is whether the technology can maximize revenue while preserving page performance, audience experience, and editorial control.
EX.CO’s platform combines video recommendations with monetization optimization, creating a more integrated model.
That matters because content discovery and advertising yield are not entirely independent. The content a publisher surfaces can influence viewing behavior, session duration, inventory availability, and ultimately monetization opportunities.
A platform that can coordinate these variables may have more opportunities to optimize the overall economics of video than a collection of disconnected tools.
This is part of a broader evolution across the AdTech industry. Companies including Google, Amazon, and Microsoft are using increasingly sophisticated machine learning systems throughout advertising infrastructure, from audience modeling and bidding to creative optimization and measurement.
On the sell side, publishers are looking for similar automation to improve monetization without increasing staffing requirements.
Publisher Results Illustrate the Model
EX.CO pointed to results from publishers including Patch and Motorsport Network as examples of its platform’s impact.
Patch used EX.CO to launch a full-stack video solution across more than 1,900 hyperlocal websites, reaching what the company describes as a seven-figure annual run rate from scratch.
The example highlights an important issue for local publishers. Building a video operation across thousands of individual properties could require significant technology investment and operational coordination.
A unified platform can reduce some of that complexity by standardizing video delivery and monetization across a large network.
Motorsport Network, meanwhile, recorded average month-over-month revenue growth of up to 3x, according to EX.CO, without adding staffing or editorial overhead.
The result is notable because revenue growth without proportional increases in operational costs is one of the core reasons publishers are turning toward automation.
Still, publisher outcomes can vary significantly based on audience scale, inventory quality, advertiser demand, content strategy, and market conditions. Case studies should therefore be viewed as examples of potential performance rather than universal benchmarks.
AI Agents Could Change Publisher Operations
EX.CO’s CEO and co-founder Tom Pachys said the company sees AI agents and machine learning as important to innovation on the supply side of advertising.
That direction reflects a larger industry shift.
AI agents are increasingly being discussed as a way to automate multi-step tasks rather than simply provide recommendations. In an AdTech context, that could eventually mean systems capable of monitoring inventory, evaluating demand, adjusting monetization strategies, detecting anomalies, and coordinating actions across multiple platforms.
For publishers, the appeal is clear: advertising operations can involve thousands of daily decisions across formats, devices, audiences, and demand sources.
But autonomous optimization also raises questions around transparency and control.
Publishers need to understand why systems make certain monetization decisions, how those decisions affect user experience, and whether optimization models are aligned with long-term audience and editorial goals.
The strongest platforms are therefore likely to combine automation with governance rather than simply remove humans from the process.
What the Award Means for the Sell-Side AdTech Market
EX.CO’s recognition comes at a time when the supply side of advertising is becoming more technologically sophisticated.
Publishers are under pressure to improve monetization while navigating privacy changes, fragmented audiences, declining third-party cookie dependence, rising video consumption, and increasing competition for advertiser budgets.
That creates demand for platforms that can make supply more valuable without adding operational overhead.
EX.CO’s award is therefore less significant as a standalone industry accolade than as a signal of where publisher technology is heading: toward systems that combine video infrastructure, content intelligence, yield optimization, and machine learning.
For enterprise media owners, the decision is likely to come down to more than revenue uplift. They will also need to assess integration requirements, transparency, data governance, user experience, ad quality, interoperability with SSPs and DSPs, and the degree of control publishers retain over automated decisions.
The broader competitive landscape includes large advertising platforms from Google and Amazon alongside independent SSPs, video technology providers, and specialized monetization platforms.
The emerging differentiator may be how intelligently those systems can coordinate the entire supply-side workflow.
Market Landscape
The sell-side advertising market is moving from basic programmatic automation toward increasingly intelligent monetization infrastructure.
Publishers now have access to a growing number of tools for header bidding, identity, contextual targeting, video delivery, yield management, content recommendations, and measurement. Yet adding more technology can also increase operational complexity.
That creates an opening for integrated platforms.
EX.CO’s approach combines video content and monetization within one environment, with machine learning handling large volumes of pricing and recommendation decisions.
The model is consistent with a wider shift toward AI-driven AdTech in which algorithms increasingly optimize not just individual bids, but the broader economics of inventory.
For publishers, the strategic objective is straightforward: generate more value from existing audiences while maintaining a fast, engaging user experience.
The challenge is proving that automation can consistently deliver those outcomes across different publishing models.
EX.CO’s recognition by ADWEEK suggests that machine learning-powered sell-side technology is gaining visibility as publishers search for more efficient ways to compete for digital advertising revenue.
Top Insights
- EX.CO won ADWEEK’s 2026 Sell-Side Programmatic Product/Platform award for technology combining video infrastructure, content recommendations, and machine learning-powered monetization.
- The company’s yield engine reportedly makes more than 500 billion daily pricing decisions, illustrating the scale of automated optimization across publisher video inventory.
- Patch deployed EX.CO across more than 1,900 hyperlocal websites, while Motorsport Network reported revenue growth without additional staffing or editorial overhead.
- The recognition highlights a shift toward AI-powered sell-side platforms that automate monetization while attempting to preserve publisher control and user experience.
- Publishers evaluating automated video monetization will increasingly weigh revenue performance alongside transparency, integration, privacy, user experience, and operational efficiency.
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