• Edit
DateInvestorsAmountRound
-

N/A

-

$300k

Seed

$1.8m

Seed

N/A

Spinout

$450k

Convertible

$830k

Seed

N/A

-

$10.0m

Series A

N/A

Series A
N/A

$5.0m

Convertible
N/A

N/A

Series B
*

$18.4m

Series B
*

N/A

Acquisition
Total Funding$36.8m

Recent News about Algolux

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Algolux is a cutting-edge technology company specializing in computer vision and image optimization. The company focuses on enhancing the performance and accuracy of camera systems used in various safety-critical applications. Algolux serves a diverse range of clients, including those in the automotive industry (Advanced Driver Assistance Systems and Autonomous Vehicles), fleet management, autonomous mobile robots, and smart city projects.

Operating in the rapidly growing market of computer vision and machine learning, Algolux offers two main products: the Eos Embedded Perception Software and the Atlas Camera Optimization Suite. The Eos software integrates into existing vision systems to significantly improve their robustness and accuracy. On the other hand, the Atlas suite uses machine learning tools to automatically optimize camera architectures, ensuring the best possible image quality and performance for computer vision tasks.

Algolux's business model revolves around providing these advanced software solutions to companies that require high-performance vision systems. They make money by licensing their software and offering subscription-based services. This allows their clients to continuously benefit from updates and improvements in the technology.

The company collaborates with leading commercial and academic partners to stay at the forefront of innovation in computer vision. By doing so, Algolux ensures that their solutions are always state-of-the-art, providing their clients with the most reliable and accurate vision systems available.

In summary, Algolux is a key player in the computer vision market, offering advanced image optimization technologies that enhance the safety and performance of camera systems in various industries.

Keywords: computer vision, image optimization, machine learning, camera systems, ADAS, autonomous vehicles, fleet management, autonomous robots, smart city, safety-critical applications.

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