| Category | Details |
|---|---|
| How Jabbr.ai Started | Business Model of Jabbr.ai : Founded in 2022 in Copenhagen, Denmark by CEO Allan Svejstrup and CTO Elias Obeid following years of research and development into computer vision for combat sports. Jabbr.ai emerged from recognition that boxing, MMA, and kickboxing lacked the automated analytics infrastructure that transformed football through companies like VEO. The ounders identified that combat sports represented 26% of all medals at the 2020 Tokyo Olympics yet professional fighters still relied on what CEO Svejstrup describes as “1980s tech” for video analysis. Jabbr.ai developed proprietary AI called DeepStrike that uses computer vision to watch fights like a coach, score like a judge, and produce like a broadcast crew—automating streaming, highlights, statistics, scoring, and overlays using only smartphone cameras or basic video feeds. |
| Present Condition | Currently operates with €4.3 million in fresh seed capital led by prestigious Silicon Valley investors including Alexis Ohanian’s Seven Seven Six, Lyft co-founder John Zimmer, Figma CEO Dylan Field, and Josh Buckley. Jabbr.ai processes fights ranging from amateur gym training sessions to professional broadcasts, positioning itself as infrastructure layer rather than consumer-only application. It operates as API-first platform enabling third-party developers to build betting platforms, training apps, and fan engagement tools on DeepStrike’s computer vision foundation. It competes within 2025 European sports tech landscape alongside ReSpo.Vision (€4.2M for football tracking), ScorePlay (€12.5M Series A for AI media automation), SponsWatch (€1M for sponsorship analytics), and Model Health (€800k for movement analysis). |
| Future of Industry | it plans global expansion targeting professional promotions, integration with major streaming services, and potential influence on sanctioning bodies to adopt AI-assisted judging eliminating scoring controversies.Aims to become the operating system for combat sports’ digital transformation, analogous to how Plaid became infrastructure for fintech. The broader combat sports products market reached $9.54 billion in 2025 and projects growth to $12.46 billion by 2029. MMA markets alone reached $1.5 billion in 2024 with projections indicating growth to $3.5 billion by 2030 at 12% CAGR. |
| Opportunities for Young Entrepreneurs | Young entrepreneurs can leverage platform ecosystem through: (1) Betting Platform Development—building real-time odds platforms and fantasy combat sports applications using Jabbr.ai’s API providing live fight statistics and predictive analytics; (2) Training Applications—creating specialized coaching apps for specific martial arts disciplines, personalized workout programs, and technique analysis tools built on DeepStrike computer vision; (3) Fan Engagement Platforms—developing social networks, prediction games, and interactive viewing experiences leveraging Jabbr.ai’s real-time fight data and automated highlight generation; |
| Market Share | Jabbr.ai operates as early-stage pioneer in fragmented combat sports analytics market lacking dominant incumbents. Traditional competitors include manual video analysis services, expensive broadcast production companies, and subjective human judging without technological augmentation. Jabbr.ai competes with emerging sports tech companies: VEO dominates football/soccer automated camera market, Hudl serves team sports video analysis, Coach’s Eye provides general technique analysis, and various boxing-specific apps offer limited analytics without AI automation. Jabbr.ai differentiates through combat sports specialization where DeepStrike’s computer vision targets structured one-on-one or team matchups enabling accuracy matching or exceeding human judges. Jabbr.ai’s API-first infrastructure approach positions it as platform rather than application, creating defensible market position analogous to Plaid in fintech. Jabbr.ai’s presence on DAZN and TNT Sports validates professional-grade capabilities, while viral social media traction demonstrates consumer market appeal. Combat sports’ technological immaturity versus football creates first-mover advantages for Jabbr.ai capturing infrastructure layer before market consolidation. |
| MOAT (Competitive Advantage) | Jabbr.ai’s competitive advantages include: (1) DeepStrike Proprietary AI—years of R&D investment in computer vision specifically trained on combat sports movements, strike detection, and defensive techniques creating technical barriers to replication; (2) API-First Platform Architecture—infrastructure approach enabling third-party developers to build applications creating network effects and ecosystem lock-in; (3) Blue-Chip Investor Network—backing from Reddit, Lyft, Figma founders provides strategic guidance, distribution partnerships, and credibility accelerating enterprise sales; (4) Broadcast Validation—DeepStrike debuts on DAZN and TNT Sports demonstrate professional-grade capabilities competitors lack; (5) Smartphone Accessibility—technology requiring only basic cameras or smartphone footage eliminates expensive hardware dependencies democratizing access. |
| How Jabbr.ai Makes Money | It generates revenue through multiple complementary streams: (1) API Licensing Fees—Jabbr.ai charges developers and platforms for access to DeepStrike computer vision capabilities, capturing recurring revenue from third-party applications built on its infrastructure similar to Plaid’s fintech model; (2) Broadcast Partnership Revenue—Jabbr.ai earns fees from streaming services like DAZN and TNT Sports integrating automated analytics, scoring overlays, and highlight generation into professional fight broadcasts; (3) Gym and Training Facility Subscriptions—Jabbr.ai provides SaaS subscriptions to martial arts academies and training centers for fighter performance tracking, automated video analysis, and technique assessment; (4) Professional Fighter Subscriptions—Jabbr.ai offers premium tiers for individual fighters accessing detailed performance analytics, opponent scouting reports, and career progression tracking; (5) Betting Platform Partnerships—Jabbr.ai monetizes real-time fight statistics and predictive analytics through revenue-sharing arrangements with sports betting companies requiring reliable data feeds. |
I’m Araib Khan, an author at Startups Union, where I share insights on entrepreneurship, innovation, and business growth. This role helps me enhance my credibility, connect with professionals, and contribute to impactful ideas within the global startup ecosystem.
