
They install/connect to a basic CCTV camera + put up a poster that lets players check in. Their ML automates a judge (scoring), coach (suggestions to improve), photographer (best outtakes to share on social media) and rater (gives a rating relative to other players).

They install/connect to a basic CCTV camera + put up a poster that lets players check in. Their ML automates a judge (scoring), coach (suggestions to improve), photographer (best outtakes to share on social media) and rater (gives a rating relative to other players).
What they do: Automated, white‑label video streaming, recording, highlights, analytics, and monetization for multi-court sports and racquet‑sports facilities
Tech: Camera-agnostic video platform with ML for scoring, coaching suggestions, highlights, and player ratings
Customers / scale: Targets sports facilities, clubs, colleges, and tournaments; public claims of hundreds to thousands of cameras and tens of thousands of users
Funding / stage: Pre-Seed; Techstars listed as an investor/lead; disclosed total funding ~$120K (USD) with last public date 2019-06-10
Headquarters: Indianapolis, Indiana (public profiles)
Sports video capture, live streaming, automated highlights, performance analytics, and content monetization for racquet-sports facilities and events.
Sports technology, video analytics, SaaS
120000.00
“Techstars listed as an investor/lead”