- Automate scientific discovery
- 250% more revenue
- Set up an auto-trading team
- Recommendation tool in 4 weeks
- Check an algorithm in 3 days
- Recommend the right movies
Automate scientific discovery
Medical solutions on clinical, genetic, and biochem data.
clientHTT are increasingly producing too much data to analyse manually. Using machine learning & scalable infrastructure we automated the analysis of large proteomic and genomic datasets. Replacing a 3 week manual analysis with 5 minutes of computation.
«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.»
250% more revenue
Germany's largest real estate portal.
clientWhat stage is a customer in right now? Looking for a house, for financing or maybe to sell? We used the entire user-history to daily predict what each of the 4 Mio + users wants and increased revenue from emails by 250%.
«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.»
Head of Relocation
Set up an auto-trading team
Independent energy trading house.
clientDanske Commodities wanted to make sure it's new auto-trading machine learning team did the right things from the start. We gave the team deep insights on how to apply machine learning to trading.
«Our biggest issue was that we were a fairly new team with little experience in Machine Learning. We needed some inspiration. We needed to know if we're on the right track. If we didn't get the input, things would not have worked out so well. A concern for us was that you get a standard walkthrough presentation that is not really related to us as a company – that they just fire of their standard slides and talks. And that was not at all the case." The feedback to the workshop was very very positive and we're very happy that it was so concrete, that we went right to the facts – and that we had something that we could use right the following day."»
Head of Automated Trading
Recommendation tool in 4 weeks
New York digital growth agency.
clientLadder.io hand-picks growth tactics for young companies from 1,000 options — in 4 weeks, we built an API can automatically predict the right tactic — with a 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.»
Co-Founder & COO
Check an algorithm in 3 days
Online-Zahlungsanbieter mit > 10 Mio. Kunden.
clientBillpay wanted to know if they could improve their fraud detection algorithm. In less than a week, we created a state-of-the-art benchmark model and identified the most important improvements.
«At Billpay, we already understand the value of machine learning, but we’re always looking for ways to improve our risk scores. Data Revenue offered a cost-effective solution that allowed us to test our system against what they could build. Markus and his team were able to give us a comparison in just a few days. Their algorithms were much more advanced; Markus is clearly an expert. The outcome was interesting, and we definitely learned something. The process was very smooth, and the results were well worth the time, effort, and money.»
Recommend the right movies
Part of Germany’s largest private television network.
clientRTL wanted to build up more machine learning competencies in-house and operate core technologies themselves. We developed an end-to-end solution for the team that implements a hybrid algorithm (similar to Netflix).
«As part of our four-screen strategy, we want to offer every user the best user experience with our content on all end devices. Intelligent data-driven processes are a key element of this strategy. It was important to us that our partner already has a track record in a similar area and has already successfully implemented similar projects. Data Revenue was a great fit. I enjoy working with smaller companies because we can implement our topics very quickly and in a pragmatic way with them.»
Head of Data Strategy and Operations