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Live Sports Clip Discovery and Fan Activation

AI-powered discovery, clipping, captioning, and distribution of live and archived sports content, combined with first-party fan data activation and in-app commerce to improve sponsorship, audience growth, and monetization.

The Problem

“Sports Content Discovery and Fan Activation across live media, fan data, and commerce”

Organizations face these key challenges:

1

Manual review of long-form match footage delays highlight turnaround

2

Fragmented live feeds, VOD, and archives make content reuse difficult

3

Live captioning at broadcast speed is operationally expensive

4

Fan data is siloed across apps, ticketing, CRM, and event systems

Impact When Solved

Reduce manual match review from hours to minutes for social-ready highlight discoveryIncrease publishing velocity for live clips, captions, and cross-channel distributionImprove sponsorship and betting-partner matching using market, audience, and rights dataActivate first-party fan data for more relevant campaigns and event planning

The Shift

Before AI~85% Manual

Human Does

  • •Review live and archived match footage to find key moments and log timestamps
  • •Create clips, write captions, and publish assets across social, OTT, and owned channels
  • •Export and combine fan data from apps, ticketing, CRM, and event systems for basic segmentation
  • •Research sponsorship and betting-partner opportunities by market and audience fit using spreadsheets and outreach

Automation

    With AI~75% Automated

    Human Does

    • •Approve priority highlights, captions, and distribution choices for brand and rights compliance
    • •Set campaign, sponsorship, and monetization priorities by market, audience, and event goals
    • •Review partnership recommendations and handle exceptions for sensitive markets or rights constraints

    AI Handles

    • •Detect live and archived sports moments, transcribe commentary, and surface searchable clips with metadata
    • •Generate captions, clip packages, and channel-ready content variants and route them into publishing workflows
    • •Unify first-party fan behavior into segments and trigger targeted promotion, subscription, and event outreach
    • •Recommend sponsorship and betting-partner matches using audience, geography, rights, and market signals

    Operating Intelligence

    How Live Sports Clip Discovery and Fan Activation runs once it is live

    AI runs the first three steps autonomously.

    Humans own every decision.

    The system gets smarter each cycle.

    Confidence81%
    ArchetypeRecommend & Decide
    Shape6-step converge
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapeconverge

    Step 1

    Assemble Context

    Step 2

    Analyze

    Step 3

    Recommend

    Step 4

    Human Decision

    Step 5

    Execute

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

    Real-World Use Cases

    DFB integrity intelligence system for match-fixing and betting fraud detection

    An AI-supported monitoring system watches football matches and betting activity to spot unusual patterns that could mean cheating or match-fixing.

    Anomaly detection and risk intelligencedeployed expansion of an existing integrity programme
    10.0

    AI-supported live-to-social and OTT audience acquisition workflow

    PSA uses live streams, AI-assisted clipping, and branded social programming to turn free viewers into paid SQUASHTV subscribers.

    Workflow orchestration combining AI-assisted content detection with multi-channel live distribution and monetizationproduction-deployed with ongoing experimentation
    10.0

    First-party fan data activation for targeted marketing at major events

    Collect your own fan data and use it to send better-targeted promotions instead of generic marketing blasts.

    Customer analytics and segmentationproven use case with a named deployment example at the australian open.
    10.0

    Mesh-Tracking Data Platform for 3D Recreations and Future Premier League Content

    The same AI that helps spot offsides can also create rich 3D digital versions of plays that can be reused for broadcasts and other products.

    Computer vision-based scene reconstruction and content generationemerging follow-on opportunity built on an active deployment
    10.0

    AI-assisted match-day highlight discovery and clipping for Bayer 04 Leverkusen social content

    An AI tool watches long football recordings, helps staff find the important moments fast, and cuts down the time needed to make highlight videos.

    Multimodal video understanding and semantic retrieval for highlight discoveryproduction-deployed workflow with demonstrated operational time savings.
    10.0
    +4 more use cases(sign up to see all)

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