Presidio’s Resonate uses agentic AI to turn sports archives into searchable inventory

Presidio is making a blunt pitch to leagues, teams, and sportsbooks: stop treating your archive like a library. Treat it like inventory that is expiring every minute it sits untagged.

That language shows up on Presidio’s Sports, Media & Entertainment solutions page, surfaced via Sports Video Group, where the company calls archived and live assets “unsold inventory” that becomes revenue when it’s searchable, packaged, and activated quickly. The operational significance is less about a shiny fan feature and more about the back-end workflow that decides whether a moment gets clipped, cleared, and published while it still matters.

Presidio’s recent product cadence suggests it understands the sequencing. It launched Captivate as a fan-facing suite in April 2025, then followed with Resonate in October 2025 as an “agentic AI” back-end system for rightsholders, according to Sports Business Journal reporter Joe Lemire. Together, they sketch a pattern many sports orgs are already living through: fan experience teams keep asking for more personalization, while production and content ops teams are stuck in logging and metadata work that doesn’t scale.

From fan features to back-end search: Captivate came first, Resonate is the factory

Presidio introduced its Sports, Media and Entertainment practice in April 2025 with Captivate, a cloud-based, AI-powered “metadata” suite aimed at content discovery, audience interaction, and betting engagement, according to a Presidio announcement distributed by GlobeNewswire. The company described three core capabilities: AI metadata extraction from live streams and video archives, a virtual panel for real-time video optimization, and second-screen applications that can surface stats, social engagement, and offers.

For enterprise operators, the headline isn’t “second screen” as a concept, it’s the dependency chain. If metadata isn’t extracted and structured fast enough, personalization features are starved. Captivate’s stated design choice is AWS as the scalability layer, per GlobeNewswire. That matters because it pins a big chunk of the media supply chain to cloud governance questions: how assets are stored, who can access them, how rights are represented in metadata, and how costs behave when usage spikes.

Resonate is Presidio’s answer to that backlog. Sports Business Journal reported that Resonate runs on AWS Media Lake and was created with TwelveLabs. Neerav Shah, who leads digital solutions for media, entertainment, gaming and sports at Presidio, told SBJ the tool aims to capture more value from content by ingesting video, audio and documents and then applying AI models to organize the data.

SBJ’s description is specific on workflow: Resonate ingests inputs, automates tagging and sorting, and makes assets accessible through natural-language prompts. It also uses graph databases so related data can be linked for faster retrieval. Presidio debuted Resonate at NAB in New York that week, SBJ reported, positioning it as the rightsholder equivalent of Captivate’s fan-facing layer.

The real ROI line item is manual tagging and logging

Presidio’s marketing copy leans hard on time sensitivity, and it’s not wrong. On its Sports, Media & Entertainment page, the company describes the current state as manual clipping, tagging, and reformatting work that burns the monetization window while a highlight is still trending. It also pitches “AI-powered ingestion, tagging, clip generation, and metadata enrichment” as the mechanism to turn live and archived media into searchable, revenue-ready assets, according to the Sports Video Group-linked Presidio page.

Sports Business Journal put the labor point more directly. Shah framed Resonate as removing the need to have someone sit and tag or hunt through footage, and SBJ noted the system can automatically generate clips and highlight reels. SBJ also reported a second use case that operators should not miss: sporting operations. Resonate can help analysts find and cue specific play types for coaches, pushing the same retrieval tooling beyond content teams and into performance workflows.

The operational test is measurable even without Presidio publishing a benchmark. Teams can still evaluate whether search and retrieval reduces manual effort across the clip lifecycle. The most useful KPI is not “hours of content processed,” it’s the number of human touches per published clip, and the median time from live moment to cleared asset in the CMS.

Game-day traffic and cloud costs: the other constraint hiding behind “AI”

Presidio is also trying to attach its content story to an infrastructure story: platforms have to stay up when the moment hits. On the same Sports Video Group-linked Presidio page, the company points to a DraftKings case study where it helped design and deploy a cloud cost optimization solution and stress-test performance ahead of peak demand, with the goal of improving readiness for game-day traffic spikes.

That matters because “AI everywhere” usually increases variability, more API calls, more storage tiers, more compute bursts. Captivate’s virtual panel capability is explicitly framed as adapting video experience to network conditions and audience demands, per GlobeNewswire. If an org is also rolling out AI-assisted tagging and retrieval, the FinOps question becomes unavoidable: which workflows are allowed to burst, which need hard budgets, and where caching and precompute make more sense than on-demand generation.

Presidio’s page also cites work with the NHL, saying it helped modernize and scale live broadcasts, reimagine the NHL Draft, and support the NHL Watch Comms app for players and on-ice officials. GlobeNewswire separately described Presidio’s NHL relationship as spanning infrastructure modernization, mission-critical applications, and streaming and production experiences. For buyers, those references indicate Presidio is selling end-to-end accountability, not a point tool dropped into a media asset manager.

Where this lands in 2026 buying decisions

• Map your current “moment-to-publish” workflow, then ask vendors to show where Resonate replaces a handoff versus adding one. The practical target is fewer human touches per clip, not more dashboards.
• Confirm the AWS Media Lake footprint and the graph database layer, then decide who owns the metadata schema and rights model. That governance choice will outlast the first model you use.
• If Captivate-style second-screen experiences are in scope, run performance tests that include AI workloads, not just video delivery. Presidio’s DraftKings stress-test framing suggests the peak event is where the bill and the risk show up.
• For organizations that share footage across league, team, and production partners, define prompt and access controls early. Natural-language retrieval is powerful, and it also broadens who can pull what, when.