We automate processes with Machine Learning.
Our team of 5 Machine Learning Engineers builds full-scale machine learning solutions for Internet, Energy and BioTech companies.
Need help with a machine learning project? – Tell us all about it
1. AI Strategy
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. AI Proof of Concepts
In 3 weeks we build a working model of your AI project. This will give you black on white results of the potential of the final system – taking away most of the risk of the project.
3. End-to-End AI Solutions
In 2-3 months we build you a full-scale machine learning solution – from data preparation, algorithm design to API integration. We can easily scale your solution to 10mio+ users, or over 50TB of new data per day. Like a in-house built solution, it comes with source code license, compliant documentation and training of your team.
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.