We’ll get you measurable results from machine learning in under 6 months.

We use advanced data analytics to find patterns in your data that aren’t visible to the human eye. Then we help you use it to grow revenue, slash production timelines, multiply efficiency, and make smarter decisions.

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We’re a passionate team of data scientists. And we’re hungry for new challenges.

Set up a call with our team

Our global machine learning team brings diverse perspectives, curiosity and passion to the search for innovative solutions.

We’re not corporate consultants. So you can expecte a dialogue, rather than endless exploratory meetings and generic powerpoint presentations.

You’ll never deal with a sales team or account reps—our CEO manages your project personally. And the team that helps you conceive your solution is the same one that brings it to life.

Our deep domain knowledge in data science, engineering, devops and translational medicine gives us everything we need to plan, build, and implement world-class machine learning applications.

Set up a call with our team

Markus

CEO

CEO by day, techno producer by night.

Alan

CTO

Leads team during workdays, feeds team during trips.

Michal

ML Engineer

Noone knows where he gets the ideas for all his new plots.

Pedro

ML Engineer

Brazilian, but doesn't like the carnival – and prefers Israeli defense training to Capoeira.

Pat

ML Engineer

On a mission to invent morning Latte art therapy.

Emmanuel

ML Engineer

Hot food and good wine is the actual number 42

Sogo

ML Engineer

I find Greek Mythologies to be the most interesting of all mythologies that exist.

Alex

ML Consultant

Our nomad consultant loves to work with clients all around the world.

Bernadette

Business Development

Her car is called Vanellope (Wreck It Ralph) and her dog Aegon (Game of Thrones).

Eda

Communications

Rob

Content

Kaspars

Designer

Can machine learning really help you?  

We’ve helped 20+ clients in industries from biotech to finance to automotive do things like cut weeks of manual data analysis down to just minutes. Boost targeted revenue by 250%. And serve real-time, personalized recommendations to millions of users per day.

So we’ve witnessed the transformative power of data again and again— if you have the data and you’re ready to tackle your biggest challenges, we can help you bring data-based solutions to life.

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We are very pleased with the support provided by Data Revenue - in particular their knowledge, and the application of machine learning, project management, and client interaction.

Volkmar Weckesser

,

CTO

Why choose Data Revenue?

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Real-world experience

We’ve implemented 35+ production solutions. Not just proof of concept or showcases. But 35 custom end-to-end ML applications that deliver critical results every day.
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Challenges? Accepted.

What inspires us? We love one-of-a-kind problems, cutting-edge industries, and complex challenges.
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Solutions > algorithms

Algorithms don’t change your business, solutions do. We’ll help you strategize the best way to make a difference in your business. And we won’t stop until your solution is fully implemented.
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Get results, not hours

Our project-based pricing means that it’s up to us to deliver your project on time and on budget. We share the risk and you don’t need to worry about hourly billing or cost overruns.
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Small team, intense focus

We choose projects that excite us and only a few at a time. So you’ll always have our full attention. And you’ll know exactly who is working on your project.

Is Data Revenue right for you?

We’re always on the lookout for partners and projects that inspire and challenge us— extra-large datasets, tiny datasets, time-series data, scientific tool creation, and all sorts of custom development.

If you’re looking to work with off-the-shelf models, build only PoC, or if you see machine learning as a quick-hit marketing opportunity (and not an integrated workflow solution) then we might not be a great fit.

We’ve got limited space for new projects over the next 6 months. So if you’ve got a challenge for us then reach out now and let’s start a conversation.