Data Science at Scale
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Get personal

Until January, we are custom-building high scale recommender systems with world-famous data scientists for

free.
Want a world-class recommender system?

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Who's using Mortar

Associated Press Shapeways NewsCred Datadog SimpleReach StubHub

Make personal recommendations

Show your users items they’ll love. From digital content, to art, to friends, to clothing, thousands of companies across most industries are using recommender systems with great results.

Here are a few well-known examples of recommender systems that generate billions of dollars of revenue:

LinkedIn: 50% of new connections come from "People You May Know".

Netflix: 75% of what people watch is the result of a recommendation.

Amazon: 35% of sales are driven by recommendations: "Frequently Bought Together", and "Customers Who Bought This".

Get started with us.

We are enrolling companies whose revenue and/or engagement we can dramatically increase. Bonus for mission-driven companies.

Sound like you? Give us your email address, we’ll be in touch.

Thanks, we'll be in touch soon.

Oops! Something went wrong while submitting the form. Please email us at support@mortardata.com

Full Service Build, By Experts

Our team of engineers and top data science advisors will build you a custom recommender system, for free.

We use open source components built for speed, scale, and flexibility. You’ll have a tailored recommender system up and running in a few weeks.

Plus you can download the implementation any time.

Free Implementation

Fall in love for free. We don’t charge for custom implementation.

Mortar only charges for ongoing operation of your recommender system infrastructure. That means you don't need to get budget unless you are ready to launch.

Every company's needs are different. If the program is a fit you and Mortar, we'll arrange ongoing pricing that meets your business goals.

Your engineers will love it

Your engineers get live recommendations via our API. Or if they want, they can use the models and data directly.

Leading data SCientist Advisors

Each recommender system we build is advised by these world-class data scientists.

Hilary Mason
Hilary Mason

EIR: Accel, ex-Chief Scientist: bitly, advises NYC's Mayor Bloomberg, named in Forbes' 40 Under 40.

Drew Conway
Drew Conway

Author: "Machine Learning for Hackers", co-founder: DataGotham, Data Kind.

Max Shron
Max Shron

Consultant: World Bank, The Guardian, led OkCupid's data science efforts.

Eric Colson
Eric Colson

Chief Algorithms Officer: Stitch Fix, ex-VP Data Science and Engineering: Netflix

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award-winning platform.
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