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Broadcast-native sports video intelligence for ingest, detection, reviewable outputs and operator-led highlight creation.
RISE turns controlled football footage into structured, reviewable intelligence — detection, tracking and event recognition underneath the clean feed.
Built to move footage through detection, operator review and exportable highlights inside one controlled workflow.
Events surface with timecode and confidence while the match is still running.
One keystroke relabels, trims or rejects an event. Every fix feeds training.
Frame-accurate in and out points. Nothing ships without operator approval.
Reviewed clips land on a timeline, ready for broadcast, social and archive.
Founder-built, broadcast-native, already running on controlled GPU infrastructure and shaped by live production constraints.
One ingest can drive archive search, review queues and intelligent highlight creation without restarting the workflow.
Every operator correction feeds the data flywheel, improving labels, confidence and future review speed.
Reviewable outputs keep the editor in control, while the platform handles detection, attribution and highlight groundwork.
Ready to go deeper?
Platform details, technical proof and investor materials on the next page.
Founder, RISE Broadcast · EVS Operator & VT Coordinator
Most AI sports tools are built from the outside looking in. RISE is being built from inside the live production workflow, by someone who knows exactly where time is lost under pressure.
Since 2009, Peter has worked across live broadcast on four continents — from Serie A in Milan to the Premier League in London, from the Olympics to the NFL. With 16+ years operating EVS and LSM systems for major sports productions, he knows exactly what broadcast crews need and what slows them down. RISE is built from that experience: AI that does the mechanical work, so your team can focus on the creative work.
16+ years · 4 continents · 1,000+ events
Connect on LinkedInA disciplined execution path from the current foundation to beta, pilots and full platform launch.
Archive intelligence, benchmark datasets and white-label deployments. TRACAB / F7 / F9 compatible structured outputs for rights holders and data consumers.
Controlled GPU infrastructure, training loops, review workflows and detection systems are already active.
Dataset depth, model quality and repeatable delivery are locked before beta partners are onboarded.