Financials

Estimates*

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Revenues, earnings & profits over time
USD20182019202020222023
Revenues3.0m6.4m8.1m35.8m45.0m
% growth-113 %27 %-26 %
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DateInvestorsAmountRound
-

N/A

-

N/A

Seed

$1.9m

Seed

€830k

Grant

$7.2m

Early VC
*

$27.0m

Series B

N/A

Late VC

$33.4m

Series C
*

N/A

Late VC
*

$88.0m

Series C
Total FundingAUD245m

Recent News about StradVision

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More about StradVision
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Stradvision is a leading technology company specializing in artificial intelligence (AI) and object recognition technology for the automotive industry. The company's primary offering is a smart AI-based camera perception technology, SVNet, which is designed to make self-driving vehicles safer and more efficient.

Stradvision's technology is used by a variety of clients, including original equipment manufacturers (OEMs), to enhance their vehicles' advanced driver-assistance systems (ADAS). These systems help drivers by providing features such as parking aids, surround view monitoring, and hazard warnings. Stradvision's technology is also capable of supporting fully autonomous driving capabilities.

The company operates in the rapidly growing market of autonomous vehicles and ADAS. It generates revenue by licensing its technology to automotive manufacturers and other companies in the automotive industry. The company's business model is based on the development and sale of its proprietary software, SVNet, which uses deep learning to interpret data from camera sensors. This software is highly efficient, offering high performance while consuming less hardware resources.

Stradvision has a strong global presence with over 300 employees worldwide and its technology is deployed on more than 50 vehicle models from over 13 OEMs. The company also holds over 400 patents on deep neural network technology, demonstrating its commitment to innovation and leadership in the field. Stradvision's achievements have been recognized with several industry awards, including the AutoSens Gold Award in 2021 and 2022.

Keywords: Artificial Intelligence, Object Recognition Technology, Autonomous Vehicles, Advanced Driver-Assistance Systems, Deep Learning, Camera Perception Technology, Automotive Industry, Software Licensing, Neural Network, Innovation.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.