Machine Learning Solutions for
Data Revenue is a team of AI engineers. We focus on developing highly profitable, custom AI solutions for clients who want to make more out of their data. Don’t know where to use AI yet? Learn about how you can find AI use cases in your business.
1. AI Roadmapping
In 1 day we build an AI Roadmap with you. At the end of the day, you will have a detailed project plan for your top 2 most profitable AI use cases. Read more.
2. Proof of Concept
In 3 weeks we evaluate the potential of an AI idea. We’ll build a cutting-edge solution on your data and give you a detailed performance report. The report also includes a walkthrough of the approach that performs best.
3. AI Solutions
In 2-3 months we transform a business process with AI. Our production solutions can scale to hundreds of Terabytes or millions of users. We find the best-performing approach while building a simple and easy to maintain solution.
What Our Clients Say
“The team at Data Revenue is a pleasure to work with – open, curious, professional, and non-bureaucratic. They take an active role in every step of the process, and they think ahead. They went the extra mile for us, and we really trust them.”
Joern Hagenguth, Head of Relocation
Tripling email revenue
ImmobilienScout24, the biggest real estate portal in Germany, wanted to improve their email targeting.
We built a cutting-edge predictive targeting solution that increased revenue by 250%.
AI recommendations in 4 weeks
Ladder.io hand-picks growth tactics for young companies from a pool of more than 1,000 options — and they wanted to teach a machine to do the same.
In 4 weeks, we built an API that predicts the right tactic with 95% accuracy.
“It was a great project. Definitely a breath of fresh air compared to some other vendors we’ve worked with. Data Revenue is experienced, genuine, and they really know their stuff. We knew right away that we could trust them.” - Michael Taylor, Co-Founder & COO, Ladder Digital
Benchmarking an algorithm in 3 days
Billpay, a leading online payment provider with more than 10 million customers, wanted to know if they could improve their fraud detection.
We built a benchmark model with stronger, cutting-edge algorithms in less than a week.
Work with the best tools
Successful AI projects are nimble, extensible, and use the best tools for the job. That’s why we value code quality (including tests and documentation) — we work with Python 3.5+, build models with scikit-learn, XGBoost, and TensorFlow. And we run projects on single AWS EC2 instances with Dask and Luigi — deployed with Docker.