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Jabbr

Using AI to generate precise stats for combat sports.

Active Currently Seed Denmark SoftwareAI

Jabbr are using machine learning to create DeepStrike: the world’s first computer vision AI for combat sports.

DeepStrike is able to record live stats on combat sports, such as punches thrown, how many landed and with what impact. That level of detail makes it much easier to score a fight, and gives a much higher enjoyment for fans to follow live.

Amateurs and up and comers can also use DeepStrike to analyse their own fights and even get automated highlight reels that they can share on social media.

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Last updated July 19, 2024

Founding team

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Elias Obeid, CTO

Elias holds a masters degree in computer science and engineering from DTU in Denmark. He has worked as a software developer, engineer and as CTO across several companies, before he co-founded Jabbr with Allan.

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Allan Svejstrup Nielsen, CEO

Allan is a Doctor of Philosophy, Computational Mathematics and Simulation Science and has worked as a Senior R&D Engineer, before he founded Jabbr from his home in Shenzhen, China.

Articles

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Established: 2021

Investment: 2023

Money raised: €793.000

Soft funding: €233.000

Our investment thesis

Jabbr is building a pioneering product based on a proprietary model. VEO has proved that amateur footballers, their trainers, and their families are willing to pay to film and analyze their games. We believe the same is true for combat sports. It will even contribute to levelling the playing field, as more people will get access to high quality video and analysis for less.

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