ReSpo.Vision
Uses AI and single-camera video to deliver elite sports analytics and immersive 3D visuals.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| investor investor | €0.0 | round | |
| investor | €0.0 | round | |
* | €4.2m | Seed | |
| Total Funding | 000k | ||
| EUR | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | 140 % | 12 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | (19433 %) | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | (20204 %) | - | - |
| EV | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Respo.Vision is a cutting-edge startup that specializes in AI-driven computer vision technology for the sports industry. The company has developed an advanced optical tracking system that automatically collects detailed skeletal tracking data of players from any single camera recording of a sporting event, such as a TV broadcast. This system can detect 50 key body points per player and track the 3D positions of the ball and players with high accuracy, all without the need for pre-installed cameras or wearable sensors.
Respo.Vision primarily serves sports teams, coaches, analysts, and broadcasters who are looking to gain deeper insights into player performance, tactics, and scouting. The company operates in the sports analytics market, which is rapidly growing as teams and organizations increasingly rely on data to make informed decisions.
The business model of Respo.Vision is based on providing its AI-powered tracking and analytics services to clients on a subscription or licensing basis. This means that clients pay a recurring fee to access the data and insights generated by Respo.Vision's technology. The company makes money by offering these services to a wide range of clients, from professional sports teams to media companies looking to enhance their sports coverage with immersive 3D visuals.
In summary, Respo.Vision leverages state-of-the-art deep learning algorithms to offer unparalleled insights into sports performance and tactics, making it a valuable tool for anyone involved in the sports industry.
Keywords: AI, computer vision, sports analytics, player tracking, 3D visuals, deep learning, performance insights, tactical analysis, scouting, subscription model.