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Jabbr.ai

Category: Computer Vision

AI-powered platform that provides real-time analytics and insights for combat sports using computer vision technology Jabbr.ai was founded in 2022. The company is led by Allan Svejstrup Nielsen. Based in Copenhagen, Denmark. Team size: 20+. Total funding raised: $5M. Latest round: Seed. Key investors include Buckley Ventures, Seven Seven Six, Alexis Ohanian (Reddit), John Zimmer (Lyft), Andre Ward, PreSeed Ventures, Accelerace.

Founded
2022
Headquarters
Copenhagen, Denmark
Team size
20+
Total funding
$5M

Value proposition

To bring transparency and fairness to combat sports through objective, real-time data and performance analytics, making advanced insights accessible to everyone from professional organizations to individual enthusiasts

Products and solutions

DeepStrike: Computer vision AI that analyzes fight footage to provide detailed stats, Jabbr Cam: AI-powered camera system that captures and analyzes sparring sessions and fights

Unique value

Jabbr.ai makes professional-level sports analytics accessible to anyone with a smartphone. Its AI, DeepStrike, can analyze video footage to provide objective and detailed statistics, including punch impact, which have traditionally been subjective or difficult to measure.

Target customer

Athletes, coaches, fans, and broadcasters in the combat sports industry

Industries served

Combat Sports (Boxing, MMA)

Technology advantage

The core advantage is its proprietary computer vision AI, DeepStrike, which automates the analysis of combat sports. This technology eliminates the need for manual tracking or expensive sensors, offering a scalable and cost-effective solution for generating advanced performance data.

How they differentiate

Jabbr.ai differentiates itself by focusing on combat sports, a market traditionally underserved by advanced analytics. Their core technology, 'DeepStrike', is a computer vision AI that provides detailed, real-time data such as punch volume, accuracy, and impact.

Main competitors

SportAI, SwingVision, ShotQuality

Key partnerships

DAZN (Broadcaster), Seven Seven Six (Venture Capital Firm), Buckley Ventures, PreSeed Ventures, Accelerace

Notable customers

Fury vs Usyk fight analytics, Beterbiev vs Bivol fight analytics, Canelo vs Crawford fight analytics

Major milestones

Successfully raised a $5 million seed round with backing from Reddit and Lyft founders, Developed and launched 'DeepStrike', its proprietary computer vision AI for combat sports analytics, Provided the first-ever AI live stats for a major combat sports event, Grown team to 20+ employees across three global offices

Growth metrics

The company has gained public traction by releasing its AI-powered punch statistics for high-profile international boxing matches, which have been shared across social media platforms like Reddit.

Market positioning

Jabbr.ai is positioned as a specialized, high-tech provider of AI-driven performance analytics for the combat sports market, targeting athletes, coaches, and media.

Geographic focus

While founded and based in Copenhagen, Denmark, Jabbr.ai has demonstrated global ambitions by providing analytics for major international boxing events and maintaining offices in Shenzhen and Los Angeles.

Patents and IP

Patent number 12067776: A computer-implemented method for automated detection of action-activity and physical contact between sports events participants

About Allan Svejstrup Nielsen

Co-founder & CEO of Jabbr.ai. PhD in Computational Mathematics from EPFL, Master's in Engineering Physics from Technical University of Denmark. Previously Senior R&D Engineer at Aim-tech focusing on mathematical modeling for energy sector.

Official website: