SportAI
Category: Computer Vision
AI-powered sports technique analysis platform using computer vision to provide real-time performance insights for racquet sports SportAI was founded in 2023. The company is led by Lauren Pedersen. Based in Oslo, Norway. Team size: 10. Total funding raised: $5.7 million. Latest round: Series A. Key investors include Altitude Capital, Casper Ruud (tennis star), Magnus Carlsen (chess grandmaster), Endre Holen (former McKinsey executive), Alejandro Bedoya, TRK Group Founder.
- Founded
- 2023
- Headquarters
- Oslo, Norway
- Team size
- 10
- Total funding
- $5.7 million
Value proposition
Democratizing access to professional-grade sports analytics through affordable, AI-powered tools that enhance training efficiency and performance tracking using only video analysis
Products and solutions
AI-powered real-time player performance tracking, Automated video analysis for stroke mechanics and movement patterns, Customizable performance dashboards for coaches and athletes, Technique analysis and comparison to professional athletes, Automated highlight generation, Tactical insights and match statistics
Unique value
Camera-agnostic AI analysis that works with any video source, proprietary algorithms converting 2D video to 3D biomechanical data without specialized sensors, focus on racquet sports with real-time processing capabilities
Target customer
B2B clients including sports academies, federations, camera providers, streaming platforms, sports equipment brands, and retailers
Industries served
Sports technology, Professional sports training, Amateur sports analytics, Sports broadcasting, Sports equipment development, Racquet sports (tennis, padel, squash, pickleball)
Technology advantage
Proprietary computer vision algorithms capable of analyzing standard 2D video feeds to generate 3D player/shot biomechanical data without requiring specialized sensors, markers, or expensive equipment
How they differentiate
SportAI specializes in real-time computer vision and biomechanical analysis specifically for racquet sports, offering camera-agnostic B2B SaaS solutions with proprietary 2D-to-3D video analysis technology and strategic partnerships with sports industry leaders
Main competitors
Sportlogiq, ReSpo.Vision, SciSports, VideObserver
Key partnerships
MATCHi (world's fastest-growing racket sports platform with 1M+ users), Shark (pickleball and beach tennis equipment), Save My Play (court-mounted camera systems), Casper Ruud (professional tennis player investor), Magnus Carlsen (chess grandmaster investor)
Notable customers
MATCHi, Shark, Save My Play, Various tennis academies and federations
Major milestones
December 2023: Founded in Oslo, Norway, August 2024: Raised $1.8M Seed round led by Skyfall Ventures, January 2025: Secured $805K in grants from Innovation Norway and Eurostars, November 2025: Raised $3M Series A round, 2025: Featured on CNN for AI tennis coaching, 2025: Received TIME magazine special mention for Best Inventions, 2025: Established partnerships with MATCHi and Shark
Growth metrics
10 team members, partnerships with major platforms (MATCHi with 1M+ users), expanding to multiple racquet sports, recent TIME magazine recognition for Best Inventions of 2025
Market positioning
Niche innovator in AI-powered sports performance analysis, positioning as a scalable B2B SaaS platform for technique analysis, performance tracking, and fan engagement with exclusive focus on racquet sports
Geographic focus
Primarily European market with headquarters in Oslo, expanding globally through B2B partnerships including North American market penetration
Patents and IP
No publicly disclosed patents as of December 2025, relying on trade secret protection for proprietary algorithms
About Lauren Pedersen
Former NCAA Division I tennis player at American University with 17+ years experience in tech startups including executive roles at Airthings (air quality tech), InstaBank, Omny (fintech), and Opera Software (browsers). First-time founder combining sports and technology expertise.
Official website: https://sportai.com