
Mangolytics
Mobile AI platform for tennis and pickleball analytics.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $6.0m | Series A | |
Total Funding | 000k |
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SwingVision provides a mobile AI platform that offers automated, real-time analysis for tennis and pickleball players using a single smartphone or tablet. The application records gameplay and generates professional-grade statistics, video highlights, and automated line calling. Its features include tracking shot speed, placement, and rally length, accessible through a subscription-based business model with free and pro-tier plans. The company serves individual athletes, coaches, and more than 100 NCAA college teams.
The company, legally Mangolytics Inc., was founded in 2019 by UC Berkeley alumni Swupnil Sahai and Richard Hsu. Sahai, the CEO, previously worked as a computer vision engineer at Tesla on the Autopilot team, where he recognized that the 3D object tracking technology used for autonomous vehicles could be applied to sports analytics. This insight led him to develop SwingVision to make the advanced data analytics available to professional athletes accessible and affordable for amateurs. Hsu, the CTO, has a background in software engineering. The company was part of the Techstars SportsTech Melbourne Accelerator program in 2020.
SwingVision has raised a total of $10 million over four funding rounds. A significant Series A funding round in October 2023 raised $6 million, led by Authentic Ventures. Its investor base includes venture capital firms like the Sony Innovation Fund and Wildcard Ventures (the VC arm of Tennis Australia), as well as angel investors and former professional tennis players Andy Roddick, James Blake, and Lindsay Davenport. The company has established strategic partnerships with major tennis governing bodies, including Tennis Australia, the Lawn Tennis Association (LTA) in the UK, and the Intercollegiate Tennis Association (ITA).
Keywords: sports analytics, mobile AI, tennis technology, computer vision, video analysis, player tracking, automated officiating, coaching tool, pickleball, racquetsports