Deep22 provides an AI platform that automatically recognizes key events in live and archived sports video, clips them in real time, and assembles highlight packages in multiple aspect ratios. The system integrates via APIs into existing production workflows, enabling broadcasters, leagues, teams and athletes to generate and distribute content instantly for social media, OTT or linear broadcast, dramatically reducing manual effort and turnaround time.
Funding
Funding not disclosed
Founders
Product
Problem
Sports organizations and broadcasters often spend extensive manual effort reviewing raw footage to locate key moments, create highlights, and repurpose archived video, leading to delayed content delivery and underutilized assets.
Solution
Deep22 offers an AI-driven platform that automatically recognizes, clips, and assembles highlight packages from live and archived sports video. The system processes streams in real time, extracting key match events and generating clips in multiple aspect ratios ready for immediate distribution to social channels or broadcast feeds. Users can customize the duration and style of highlight reels to meet both online and linear broadcast requirements, while the platform integrates directly into existing video production workflows, reducing turnaround time and unlocking the value of historical footage.
Target Audience
Primary customers are broadcasters, governing bodies, leagues, professional teams, and individual athletes who need rapid, automated video content creation for fan engagement and media distribution.
Features
- Real‑time AI recognition of match events with instant clipping across horizontal and vertical formats
- Automated generation of highlight packages of configurable length for social media, OTT, or linear broadcast
- Seamless integration via APIs into existing video editing and production pipelines
- Scalable processing that supports live streams and large archives without manual intervention
- Analytics dashboard showing view counts and content performance metrics