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Algolux
Driving Safety in Autonomous Vision
About Algolux
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.
Source: Dealroom company dataAt a glance
- Status
- Acquired
- Founded
- 2015
- Headquarters
- Montreal, Canada
- Employees
- 13
- Open positions
- None listed
- Dealroom signal
- 60.5/100
- Sub-industry
- Navigation & Mapping, Autonomous & Sensor Tech
- Sector
- Transportation, Visualization, Core AI, Autonomous Mobility, Spinout, AI Applications
- Technology
- Artificial Intelligence, Big Data, Deep Tech, Computer Vision, Autonomous & Sensor Tech
- Business model
- Manufacturing
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITION✓Exit | Feb 2023 | $0 | — | Torc Robotics | ↗ |
| SERIES B✓Equity / VC | Jul 2021 | $18M | $74M | Invest Quebec · Castor Ventures · Nikon-SBI Innovation Fund · GM Ventures | ↗ |
Growth signals
Latest recorded traffic for Algolux is 250 monthly website visits, up 150% over the last three months. Algolux's team declined 88.1% over the past year.
Similar companies
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed5 investors entered at this stage
TandemLaunch
Real Ventures
Ferst Capital Partners - FCP
Playground Global
Chris Rowen
Series A8 investors entered at this stage
GM Ventures
Drive CapitalIntact Ventures
Forte Ventures
Invest Quebec
Castor Ventures- NFNikon-SBI Innovation Fund
Generation Ventures
Other known investors13 additional known investors
Andrew Leto
Greycroft Partners
Harbert Growth Partners
Salesforce Ventures
The University of British Columbia
Torc Robotics
Alumni Ventures- CVCognite Ventures
Hidalgo Venture Capital
Juan Felipe Gonzalez Hidalgo
Milkbox Partners
MobilityXlab
Plug and Play
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Algolux on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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