Lightricks customer story: Building a recommendation engine from scratch

Lightricks is an award-winning Photo & Video editing solution that enables users to craft and share unique visual content. Leading with innovation Lightricks doesn't stop at AI for imagery and video. Their data driven approach allows lightricks to build a highly accurate and scalable recommendation system to boost user value and support the business growth.

Join Shaked Zychlinski (Head of Recommendations @ Lightricks) and Pavel Klushin (Head of solution architects @ Qwak)  to learn more about the hurdles of productionizing a recommendation engine and how to maintain a scalable ML model workflow in production.

Pavel Klushin

Head of Solution Architecture @ Qwak

Shaked Zychlinski

Head of Recommendations @ Lightricks

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Qwak optimizes ML Model Production for
ML driven organizations.

Here is what our customers have to say about us:

"From the get go, it was clear that Qwak understand our needs and requirements. The simplicity of the implementation was impressive.
Automatic deployment and continuous training were crucial to allow us to scale. Qwak gave us a type of "Jenkins" for machine learning."

Shaked Zychlinksi Head of Recommendations Research

"Using Qwak allowed us to focus on creating a business impact rather than spending valuable time on our infrastructure setup.

At JLL our development is very time sensitive. As a result of implementing Qwak, we improved our execution time by 4.5X."

or hiltch
Orr Hiltch, Vice President of Engineering

"With Qwak we were able to improve our ML delivery dramatically.

Qwak has allowed us to work to the highest engineering standards from day one and to invest the majority of our efforts in our business challenges and not into plumbing."

Elad Silvas Data Science Manager