Rider Dome
Providing a safe working environment for employees by offering a variety of services such as a centralized fleet safety platform, advanced rider assistance system, and computer vision-based rider safety.
| Date | Investors | Amount | Round |
|---|---|---|---|
| N/A | €0.0 | round | |
* | $2.3m | Seed | |
| Total Funding | 000k | ||
| USD | 2022 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| % growth | - | 133 % |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Rider Dome is a startup that has secured $2.3 million in seed funding to revolutionize motorcycle safety using an AI-based solution. The company's primary focus is to enhance the safety of motorcycle riders and fleet managers. It operates in the motorcycle safety market, serving both individual riders and fleet managers.
Rider Dome's business model is centered around its Advanced Rider Assistance System (ARAS), which uses computer vision and AI to provide real-time alerts against potential threats on the road. This system is designed to prevent accidents by giving riders enough time to react and avoid or mitigate threats.
For fleet managers, Rider Dome offers a web-based Fleet Monitoring Platform. This platform aggregates real-time data that fleet managers need to monitor, track, and measure all safety aspects of their fleet. This not only improves safety but also enhances operational efficiencies.
Rider Dome's revenue model likely involves selling its ARAS and Fleet Monitoring Platform to individual riders and fleet managers, respectively. The company's ultimate goal is to save lives and ensure that every motorcycle journey is not only thrilling but also remarkably safe.
The company uses advanced AI-based computer vision and sensor fusion algorithms to analyze real-time footage from front and rear cameras and sensors to detect and assess threats 360 degrees around the rider.
Keywords: Motorcycle Safety, AI-Based Solution, Real-Time Alerts, Fleet Monitoring, Advanced Rider Assistance System, Computer Vision, Operational Efficiencies, Real-Time Data Analysis, Sensor Fusion Algorithms, Threat Detection.