Jabbr
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About
Jabbr is a technology platform focused on digitizing combat sports through its proprietary computer vision AI, DeepStrike. The system is designed to analyze every strike, movement, and interaction within the ring or cage, providing a level of data granularity previously unavailable in boxing and MMA. By processing video feeds in real-time, the tool converts raw footage into actionable performance data, including punch counts, accuracy percentages, and defensive metrics. Its primary goal is to bring transparency and professional-grade analytics to all levels of the sport, from local gyms to international broadcast stages. At the core of the platform is the DeepStrike engine, which can be integrated into a dedicated plug-and-play camera unit. This hardware solution allows gyms and individual fighters to capture high-fidelity stats and highlights live without requiring manual tagging or complex setups. The AI identifies specific strike types and landing accuracy, enabling users to review performance with objective data rather than subjective observation. This technology has already been utilized in major professional broadcasts, such as the Fury-Usyk fight, to provide viewers with instant statistics that challenge traditional human-led scoring methods. The tool caters to a wide spectrum of stakeholders within the combat sports ecosystem. Coaches and fighters use the platform to identify technical flaws and track progress over time, while gym owners can offer professional-level streaming and automated content generation to their members. For broadcasters and media outlets, Jabbr provides a new layer of engagement through live data overlays and post-fight analysis. Additionally, it serves as a tool for fans seeking deeper insights into match dynamics, as seen in its post-fight breakdown of high-profile bouts like Canelo vs. Crawford. What distinguishes Jabbr is its specialized focus on the complexities of combat sports—a field where fast-moving limbs and overlapping bodies often cause traditional computer vision models to fail. Unlike general sports analytics tools, DeepStrike is built from the ground up to recognize the nuances of fighting styles and strike mechanics. The platform’s transition from a software-only solution to an integrated hardware camera unit further sets it apart, offering a streamlined workflow for training environments. By providing access to elite-level data, Jabbr aims to standardize performance tracking and fairness across the entire industry.
Pros & Cons
Provides objective, computer-vision data to reduce scoring bias in boxing.
Integrated plug-and-play camera simplifies setup for local gyms.
Successfully deployed in elite professional broadcasts like Fury vs. Usyk.
Enables automated highlight generation for faster content creation.
Developed specifically for combat sports to handle complex body movements.
Full hardware camera solution currently requires joining a waitlist for access.
No publicly disclosed pricing structure for individual or gym-wide use.
Maximum accuracy depends on the quality and positioning of the video source.
Currently focused primarily on boxing with less explicit detail on other combat styles.
Use Cases
Professional boxing coaches can use real-time strike data to adjust fight strategy between rounds or during training camps.
Gym owners can automate the creation of social media highlights for their members using the AI-driven content generation tool.
Sports broadcasters can integrate live, computer-vision stats into their feeds to provide viewers with objective punch-landing data.
Individual fighters can track their technical improvement and volume metrics over several months of training sessions.
Promotional organizers can use the AI data to settle scoring disputes and provide transparent fight outcomes to fans.
Platform
Task
Features
• real-time performance analytics
• historical performance data storage
• accurate punch landing detection
• automated fight highlight generation
• live broadcast data integration
• plug-and-play ai camera hardware
• automated strike counting
• deepstrike computer vision ai
FAQs
What is DeepStrike AI?
DeepStrike is Jabbr's proprietary computer vision technology specifically trained to recognize and analyze movements in combat sports. It tracks every strike and defensive maneuver to provide accurate, real-time statistics for fighters and coaches.
Do I need special hardware to use Jabbr?
While the software can analyze video feeds, Jabbr is launching a dedicated plug-and-play AI camera unit designed for gyms. This hardware simplifies the process of capturing live stats and highlights without a complex setup.
How does Jabbr help with boxing scoring?
The AI provides an objective count of landed vs. missed strikes, which can be compared against human judge scorecards. This was famously used to analyze the Canelo vs. Crawford bout to highlight discrepancies in broadcast statistics.
Is Jabbr available for individual fighters?
Yes, the platform is designed for everyone from global arenas to local gyms. Individual fighters can use it to analyze their training footage and get professional-level stats to improve their performance.
Can Jabbr be used for live broadcasts?
Yes, Jabbr has already been featured in major broadcasts like the Fury-Usyk fight. It provides real-time data overlays that enhance the viewing experience with live punch stats.
Pricing Plans
DeepStrike Waitlist
Unknown Price• Live AI-driven stats
• Automated highlights
• Plug-and-play camera unit
• Performance analytics
• Professional streaming tools
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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