Arbe Robotics Ltd. Warrant (ARBEW)
NASDAQ (CM) NASDAQ (CM) Primary Summary
Arbe Robotics Ltd. Warrant Investors
| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| BO Brian Oliveira Clear Street Group Inc. | 99 | $27 | $3.96 | -$23.04 | -85.33% |
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Arbe Robotics Ltd. Warrant Profile
| Transportation Infrastructure Industry | Industrials Sector | Ram Machness CEO | NASDAQ (CM) Exchange | M1R95N118 CUSIP |
| IL Country | 138 Employees | - Last Dividend | - Last Split | - IPO Date |
Overview
Arbe Robotics Ltd. is a pioneering semiconductor company specializing in 4D imaging radar technology. Founded in 2015, Arbe Robotics Ltd. dedicates its resources to developing advanced solutions that enhance the safety and efficiency of automotive navigation and autonomous driving technologies. With its headquarters in Tel Aviv-Yafo, Israel, the company operates on a global scale, offering its innovative radar solutions to tier 1 automotive suppliers and manufacturers in key markets such as China, Hong Kong, Sweden, Germany, the United States, and Israel, amongst others. The technology developed by Arbe tackles some of the most critical challenges in autonomous vehicle operation and autopilot systems, including the detection of stationary objects, the identification of vulnerable road users, performance in low light conditions, and the reduction of false alarms and radar ambiguities.
Products and Services
Arbe Robotics Ltd. provides a range of products and services designed to improve the safety, reliability, and performance of autonomous vehicle technologies and autopilot systems. These include:
- 4D Imaging Radar Chipset Solutions: This flagship offering from Arbe is at the forefront of radar technology, addressing critical safety and functionality issues prevalent in autonomous driving systems. The chipset is engineered to:
- Detect stationary objects on the road, which has been a common cause of accidents involving autonomous vehicles.
- Identify vulnerable road users such as pedestrians and cyclists, even under challenging conditions, thus enhancing safety for both the vehicle occupants and those around the vehicle.
- Operate effectively in poor lighting conditions, a crucial factor for autonomous system performance given that many accidents occur during the night or in dimly lit environments.
- Eliminate false alarms without radar ambiguities, increasing the reliability of autonomous driving systems by reducing the instances of unnecessary or erroneous braking and maneuvering.
