About
Jabbr.ai is a Copenhagen-based sports technology startup building the world's first AI-powered camera and analytics system purpose-built for combat sports. At the heart of its platform is DeepStrike AI, a computer vision engine that detects, tracks, and counts every strike thrown and landed during a fight — from boxing gyms to international arenas. Unlike traditional broadcast stats, which are manually logged and prone to error, Jabbr's AI processes video in real time to deliver objective, data-driven scorecards and performance metrics. The platform serves multiple audiences: fighters and coaches use it to analyze training sessions and fight footage; promoters and broadcasters use it to enhance live coverage with accurate, AI-generated stats; and sports analysts and researchers use it for deeper performance insights. Jabbr gained early attention for its reanalysis of the Canelo vs. Crawford scorecard controversy, where DeepStrike identified significant discrepancies between official broadcast stats and actual punch-landing data. The company has been selected as one of SportsPro's 20 companies to watch in 2026, named a research finalist at the MIT Sloan Sports Analytics Conference, and has attracted investment from Alexis Ohanian's Seven Seven Six, Josh Buckley's Buckley Ventures, and notable sports figures including Andre Ward. Jabbr is currently accepting waitlist sign-ups as it scales from gym-level deployments to global combat sports events.
Key Features
- DeepStrike AI Strike Detection: Computer vision engine that tracks and counts every punch and strike thrown and landed in real time, with greater accuracy than manual broadcast stats.
- Automated Fight Scorecards: Generates objective, data-driven scorecards for fights by analyzing video footage, reducing reliance on subjective human scoring.
- Training & Coaching Analytics: Provides fighters and coaches with granular performance metrics from sparring and training sessions to inform game plans and improvement areas.
- Broadcast & Media Stats Integration: Delivers AI-generated fight statistics suitable for live broadcasts, sports journalism, and media production.
- Multi-Environment Coverage: Deployable across settings from local boxing gyms to global championship arenas, scaling to any combat sports venue.
Use Cases
- Coaches reviewing training footage to assess a fighter's punch output, accuracy, and defensive lapses between sessions.
- Combat sports promoters and broadcasters enhancing live event coverage with real-time, AI-generated strike statistics.
- Sports analysts and journalists using objective fight data to support or challenge official scorecards after controversial decisions.
- Gyms deploying AI cameras to give members data-driven feedback on sparring performance without manual review.
- Researchers and academics studying combat sports performance metrics using reliable, computer vision-derived datasets.
Pros
- First-mover in AI combat sports analytics: Jabbr holds a unique position as the first AI camera and analytics system built specifically for combat sports, giving it a significant competitive moat.
- Objective, verifiable fight data: Replaces error-prone manual stats with computer vision analysis, delivering more transparent and accurate scoring data.
- Strong investor and industry backing: Raised $5M from high-profile investors including Alexis Ohanian and Andre Ward, with recognition from MIT Sloan Sports Analytics and SportsPro.
- Versatile use across training and competition: Serves coaches, fighters, broadcasters, and analysts alike — making it broadly valuable across the combat sports ecosystem.
Cons
- Limited availability — waitlist only: The platform is not yet widely accessible; users must join a waitlist, making immediate adoption difficult.
- Niche market focus: Exclusively tailored to combat sports, limiting applicability for teams or organizations in other athletic disciplines.
- Pricing not publicly disclosed: No pricing information is available on the website, making it hard for potential customers to evaluate cost before applying.
Frequently Asked Questions
What is Jabbr.ai?
Jabbr.ai is a sports technology platform that uses AI and computer vision to track and analyze strikes in combat sports in real time. Its core product, DeepStrike AI, generates objective fight statistics for fighters, coaches, broadcasters, and analysts.
What is DeepStrike AI?
DeepStrike AI is Jabbr's proprietary computer vision engine that detects and counts every punch or strike during a fight. It analyzes video footage to produce accurate, data-driven scorecards and performance metrics that are more reliable than traditional manual broadcast stats.
Who is Jabbr.ai designed for?
Jabbr is designed for a wide range of combat sports stakeholders, including fighters and coaches looking to improve training, gyms and promoters wanting data-driven insights, and broadcasters and sports media outlets seeking accurate real-time fight statistics.
How do I get access to Jabbr.ai?
Jabbr.ai is currently in a waitlist phase. You can sign up via the waitlist on their website at jabbr.ai. Access is being rolled out gradually as the platform scales.
Has Jabbr.ai been validated by the sports industry?
Yes. Jabbr was selected as one of SportsPro's 20 companies to watch in 2026, was a research paper finalist at the MIT Sloan Sports Analytics Conference, and has attracted investment from Alexis Ohanian's Seven Seven Six and boxing legend Andre Ward.
