How can enterprises reach
personalization like the giants?

- without spending the time and money to develop the technology

In a perfect world, every single person that arrives on your site would have a perfect experience. They’ll instantly find the right information to read and the right product to buy – right away.

But this is not a perfect world, and that is certainly not the reality of most online platforms today. Chances are good that your users will spend little time searching for the desired information and leave if they don’t find what they are looking for.

Meanwhile, market leaders like Netflix and Spotify raise the customer-centric experience bar higher and higher. They improve their service by enabling rich personalization.

During our scientific research, we recognized the need to bring a self-learning recommendation engine from a few top tech players, like Netflix, Apple, and Spotify, to the rest of the world. Helping companies create a better user experience, by recommending the right content to the right user in real- time became our mission.

We're bringing the scientific method

- right into your management decisions

How do we make good decisions? When it comes to implementing innovation, most of the time we are wrong – that’s even what the experts say. It’s why we need an evidence based decision system.

In our lab-like environment – we are a team of skilled people. Professors, Ph.D.’s and data scientists working hard to deliver the most advanced technology to our clients. We’ve published numerous research papers about this and we’re still working on improving the engine.

Our aim is to set a higher standard of personalization. We are inspired by real customers who found a little more joy in their browsing with Froomle recommendations.

But we don’t stop here. We’re building the most advanced large-scale recommender engine available, where researchers and enterprises exchange meaningful data and improve the recommender systems together.

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