EDO, the TV outcomes company, continues to see extraordinary marketer demand for ChatEDO™ — the industry leader’s agentic AI interface for TV ad intelligence. Without the need for dashboards, SQL queries, or analyst emails, agency and brand marketers across industries can now use ChatEDO to access EDO’s investment-grade Convergent TV intelligence data with speed and precision — turning what once took hours of analysis into immediate insights — made possible by Amazon Web Services (AWS) platform for building generative AI applications and agents at production scale: Amazon Bedrock.

With EDO adding more than 1 terabyte of new Convergent TV advertising data daily, Amazon Bedrock allows ChatEDO’s model-agnostic architecture to draw on the AI foundation model best suited for each query to analyze years of EDO’s industry-leading TV intelligence data. By leveraging Amazon Bedrock, EDO has built an innovative blend of performance, cost-efficiency, and model choice without sacrificing security, uptime, or response time.

Built for the Demands of the Modern Market

As programmatic and cross-platform buying become the norm, EDO’s convergent TV measurement capability has become increasingly critical for advertising. With the massive scale of EDO’s Vertical AI-powered platform — 128 trillion convergent TV impressions, 380 million linear TV airings, and over 2.8 million TV creatives — ChatEDO democratizes marketers’ access to rich insights, enabling teams to operate faster and more effectively in critical business moments.

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Marketers can now interact directly with complex TV data using natural, plain language — no dashboards required. What previously took hours of manual filtering and spreadsheet downloads can now be answered in seconds via the instant chat interface.

For high-stakes decisions, precision at scale is equally important to speed. ChatEDO’s proprietary intelligence relies on execution logic and guardrails uniquely engineered to contextualize and analyze EDO’s highly specific, granular Convergent TV data.

“Since 2015, EDO has built one of the most complete TV ads databases in the industry — measuring petabytes of comprehensive data across every ad, everywhere, all at once with no data points overlooked,” said Joshua Lee, EDO’s Chief Technical Officer and Head of Product. “The bigger question has always been: how can we put that intelligence to work at the speed and scale the modern marketer actually needs? Amazon Bedrock answered that. Not just because of the infrastructure, but because of the model flexibility. We’re not locked into any single AI provider. We can always deploy the most appropriate available capability against our data, and we can do it with the enterprise security and uptime our clients demand. What we’ve built so far with AWS is just the beginning.”

As ChatEDO adoption has accelerated, EDO utilized Amazon Bedrock’s capabilities to meet demand at enterprise scale — optimizing inference performance and ensuring the uptime and response time that brands and agencies expect. When EDO’s product development and client success teams identified opportunities to improve inference performance, they were able to scale faster with AWS.

With more than a decade of experience in Convergent TV measurement, measuring every TV ad, everywhere, all at once, EDO has amassed one of the industry’s most comprehensive, accurate databases of historical and competitive TV airing data. EDO’s TV outcomes data is trusted by every major TV network and streamer, and a growing roster of top-spending brands — across every major advertising category — and their media agency partners.

Why EDO Chose to Build on Amazon Bedrock

Beyond the security offered by Amazon Bedrock that ensures enterprise security and data privacy for EDO’s TV outcomes data, the Amazon Bedrock infrastructure has allowed EDO to build a custom agentic AI interface. With Amazon Bedrock as the platform for building generative AI applications and agents, ChatEDO pulls from multiple AI foundation models to orchestrate the best possible answers using EDO’s AdEngage data.

The Amazon Bedrock infrastructure allows ChatEDO to leverage industry-leading foundation models while seamlessly switching between these different models as new, state-of-the-art capabilities emerge. This architecture ensures the platform stays cutting-edge without disrupting the user experience or compromising data accuracy.

Bringing the Industry Forward, Faster

As a result of building on AWS, EDO has unlocked new Vertical AI capabilities to scale its Convergent TV data utilizing the full breadth of AWS infrastructure. ChatEDO is not only notable for its agentic AI interface, but its speed and convenience mark a shift in how the advertising industry can, and should, operate.

“EDO has built a model-agnostic orchestration layer that draws on open-source and frontier models alike, optimizing for performance and cost without compromising on security or uptime,” said Rich Geraffo, Vice President & Managing Director, AWS North America. “Beyond the architecture, EDO is putting its Convergent TV ads database in the industry to work for brands and agencies in real time. That’s exactly the kind of innovation AWS Bedrock was built to enable.”