Jabbr

High-Level Overview

Jabbr is a Copenhagen-based technology startup founded in 2022 that builds DeepStrike, the world's first computer vision AI platform tailored for combat sports like MMA, Muay Thai, and BJJ.[1][2][3] It serves athletes, coaches, gyms, and fans by delivering real-time video analysis, strike statistics (e.g., punches thrown, landed, and impact), automated highlight reels, and professional-level streaming, solving the problem of outdated manual scoring tools like CompuBox with fast, affordable AI automation.[1][2][3][4] The company sells a plug-and-play "Jabbr Cam" hardware at cost paired with a subscription for analytics, drawing parallels to Veo in amateur soccer, and has shown strong growth with a $5M (€4.3M-€5M) seed round in 2025, expanding to 20+ staff across Copenhagen, Shenzhen, and LA.[3][4][5]

Origin Story

Jabbr emerged from CEO Allan Svejstrup Nielsen's frustration with primitive fight analytics while training in Shenzhen, China; holding a PhD in Computational Mathematics and Simulation Science, he trained an AI model on real boxing footage to track punches, impacts, fight flow, and movements, turning it into a startup in 2022.[1][3] Co-founder and CTO Elias Obeid, with a master's in computer science from DTU Denmark and prior CTO roles, joined to build DeepStrike after over two years of R&D.[3] Pivotal early moments include DeepStrike's live debut at the Fury-Usyk fight on May 18, 2024, broadcast by TNT Sports, and gaining advisor Rahim plus public backing from figures like Alexis Ohanian and investors Josh Buckley, leading to the 2025 seed raise.[1][3][4]

Core Differentiators

• Proprietary DeepStrike AI: World's first computer vision model for combat sports, providing precise live stats on strikes, impacts, and movements—far beyond manual tools—enabling automated scoring, analysis, and highlights for amateurs to pros.[1][2][3]
• Plug-and-Play Hardware: "Jabbr Cam" integrates three cameras, timer, and AI for instant stats and media production; sold at cost with subscription model for speed, affordability, and accessibility vs. expensive legacy tech.[1][4]
• End-to-End Ecosystem: Supports training, coaching, fighting, watching, and sharing; generates pro-level streaming and social clips, leveling the playing field for gyms and up-and-comers.[2][3][4]
• Elite Backing and Traction: Raised $5M from Buckley Ventures, Seven Seven Six (Alexis Ohanian), Shrug, John Zimmer, and Andre Ward; TNT Sports integration and global team signal scalability.[3][4][5]

Role in the Broader Tech Landscape

Jabbr rides the explosion of specialized AI in sports analytics, particularly computer vision for niche markets underserved by general tools, amid rising demand for data-driven training and fan engagement in the $10B+ global combat sports industry.[1][3][5] Timing is ideal post-2024 AI hardware advances and investor interest in "Veo-like" models for non-mainstream sports, fueled by VC bets on real-world AI apps like automated content amid UFC/MMA growth and amateur participation surges.[3][4][5] It influences the ecosystem by democratizing pro analytics—boosting fairness, transparency (echoing Muhammad Ali's ethos), and media production—potentially standardizing AI scoring and accelerating adoption in gyms worldwide.[1][2]

Quick Take & Future Outlook

Jabbr is poised to dominate combat sports AI with DeepStrike's rollout, targeting gyms via affordable cams and subscriptions while expanding to pro arenas and fan apps. Trends like AI hardware miniaturization, live-streaming booms, and VC focus on sports tech (e.g., Ohanian's cultural bets) will propel growth, potentially mirroring Veo's soccer success toward Series A and global scale.[3][4] Its influence could evolve from analytics pioneer to full media platform, transforming how millions train, fight, and watch—proving one founder's frustration birthed a fairer, tech-powered future for the ring.[1][2]