Building Computer Vision Algos to solve billion dollar problems for B&M Retail51-200 Employees
- B2B
- Growth StageExpanding market presence
- Top InvestorsThis company has received a significant amount of investment from top investors
- YC FundedStartup funded by Y Combinator
Focal Systems careers
Founded in 2015, we set out to build Computer Vision applications for Retail and CPGs to solve some of their biggest, oldest multi-billion dollar problems. We graduated Y Combinator’s Winter 2016 batch and have since grown considerably and assembled an exceptional roster of employees, investors, advisors and partners.
Our team consists of Stanford PhDs and Masters students with backgrounds from Apple, Google, and Facebook, specializing in state-of-the-art machine learning and computer vision – the same technology used by Amazon Go, Google’s self-driving cars, and other applications.
Our team consists of Stanford PhDs and Masters students with backgrounds from Apple, Google, and Facebook, specializing in state-of-the-art machine learning and computer vision – the same technology used by Amazon Go, Google’s self-driving cars, and other applications.
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Michael Cantalino
Francois Chaubard
Founder @Focal Systems • Deep Learning Intern at @Apple • Computer Vision Researcher (CS/EE Double Masters) @Stanford University •
Adriano Quiroga
Founder @Focal Systems
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