Magnifi

Magnifi is an AI-powered video intelligence platform designed primarily for sports organizations, media companies, and content producers who need to automatically generate, edit, and distribute video highlights at scale. The system ingests raw video footage—live or recorded—and uses machine learning models to detect and tag key moments such as goals, touchdowns, dunks, penalties, or any event defined by user-specified rules. Instead of requiring human editors to manually scrub through hours of footage, Magnifi processes the video stream in real time or near real time, identifying each relevant clip based on visual cues, audio signals, and metadata. Once highlights are identified, the platform offers an end-to-end workflow: users can trim, resize, and repurpose those clips for different aspect ratios (vertical for mobile, square for social media, widescreen for broadcast) within a single centralized dashboard. This eliminates the need to export raw clips to separate editing tools. The rule-based automation engine allows organizations to set custom conditions—for example, “capture every instance where the home team scores within a 30-second window, including the preceding play and the celebration after.” These rules can be adjusted per sport, league, or even per game, giving content teams fine-grained control over what gets highlighted. Magnifi also supports bulk processing: if a broadcaster covers multiple matches simultaneously, the system can handle all feeds and output packaged highlight reels for each game without manual intervention. Beyond just clipping, Magnifi integrates with publishing and distribution channels. Users can send finished highlights directly to social media platforms, OTT services, team websites, or broadcast playout systems via API or native integ