Merantix

Transforming the world with curious minds

We conceptualize, build, and scale AI ventures.

Merantix is a research lab and venture builder in the space of artificial intelligence. We cooperate with mid- and large-sized companies to work on industry-specific deep learning applications, that we can scale to leading AI ventures. Our unparalleled team of AI researchers and our cross-project technology stack allow us to test and incubate projects much faster than any individual company. We have a strong tendency for partnerships with companies that have powerful data sets and short decision cycles.

We are currently active in the fields of healthcare, finance and automotive. 

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Products

We are rigidly transforming domain-specific deep learning models … [more]

Products

We are rigidly transforming domain-specific deep learning models into robust and standalone products. This means we generalize our models and develop strong use cases that meet clear customer needs and high regulatory requirements.

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Machine Learning

Merantix develops sophisticated models to create productized … [more]

Machine Learning

Merantix develops sophisticated models to create productized value from complex data sources. We are closely involved in state of the art deep learning research and have built a shared technology stack on latest research results, that we leverage across our ventures and products.

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Datasets

We establish partnerships with leading companies and … [more]

Datasets

We establish partnerships with leading companies and organizations to assemble broad and complex datasets. We target AI challenges that go beyond the performance of current solutions and the capabilities of human experts.

Ventures

When our robust products reach a … [more]

Ventures

When our robust products reach a certain level of maturity, have proven their value to a critical mass of customers and are backed with a validated business model, we form a vertically-integrated team and spin off the venture as a standalone company.

Industries

We leverage our expertise in building machine learning infrastructure and applications and combine it with our partners’ datasets, their domain knowledge and market access. We apply cutting-edge research to real-world problems to deliver outstanding value to many industries.

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Finance

The financial service industry has a long history of quickly adapting to new technologies, and deep learning is no exception. Today’s service processes, financial products, and even investment decisions already incorporate advanced degrees of automation, but often in form of rule-based systems. The emergence of deep learning enables recognizing sophisticated patterns in high dimensional spaces and non-trivial activities can be automated with impressive results. The field of application ranges from back-office automation, to credit scoring, to asset management and high-frequency-trading.

AI-powered Hedge Fund

Today’s players in the HFT space rely primarily on traditional models, that are fast to execute but limited by their theoretical assumptions. Machine Learning methods are able to capture complex market patterns with enormous value potential hidden under financial micro-structure noise. Merantix leverages it’s cutting-edge deep learning research and technology stack to exploit these patterns and outperform incumbent players. Merantix has very successfully deployed deep learning based trading algorithms on FX and Crypto future contracts with an astonishingly competitive wire-to-wire execution time. With the active involvement of HFT experts, access to the latest trading infrastructure and a strong industry network, Merantix is currently setting up a “Fund of the future” with 1000+ deep learning enabled trading strategies on a growing number of products.

Credit Scoring

In partnership with Europe’s leading credit and collection agency Merantix has developed a technology to significantly improve the distinction between good and bad payers. In comparison to current scoring methods, our deep learning algorithm was able to reduce the amount of rejected purchases by 20%-30% while the general risk of default remained unchanged. This is ultimately not only reducing the default rate and bad debt losses but also increasing the number of positive decisions and direct revenue.

Key figures

Wire-to-wire execution time
3µs
We have created deep-learning based HFT strategies with less than 3 µs execution time.
Daily level-3 financial data input
120GB
Our HFT trading models are trained and executed on 120GB level-3 financial data each data.
Accuracy of credit-scoring
30%
We were able to reduce the amount of rejected purchases by 30%, while the general risk of default remained the same.
Data points considered per day
2M
Our model evaluates more than 2 M times a day to find the optimal trading moment.
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Health

Artificial intelligence in healthcare has enormous potential. Deep learning technology will revolutionize every single part of today’s healthcare industry, it is just a matter of time and we are a driving force behind that. AI-powered applications, such as diagnostic automation, gene sequencing, treatment predictions, and drug development will lead to a drastic increase in the quality, efficiency, and accessibility of all healthcare. We think AI application is not aimed to fully replace human medical experts, but rather to enhance their capabilities and efficiency by automating those activities, that are homogenous and sensitive to errors. In that sense, physicians and nurses can be more effective in their actual job and to focus solely on patient’s wellbeing.

Medical Imaging

While the shortage of radiological experts is becoming more and more severe the global examination volume is rising constantly by 5% annually. Apart from the clear imbalance, the human factor in radiology causes substantial error rates, that can be significantly reduced with the application of automated systems. Especially, deep learning has proven it’s enormous potential when applied to radiological examinations due to the repetitive and visually accurate nature of the job.

Merantix is building AI-driven radiological services that perform automated and assisted diagnoses on radiological images. To develop our service, we have built a strong network of renown research and clinical institutions all over Europe. Ensuring highest quality standards we only work with biopsy-proven images, corresponding medical reports, and high-quality annotations. Our breast cancer detection algorithm is already on par with the human benchmark. We are continuously improving the performance of our breast cancer detection algorithm while developing further use cases. Our mission is to dramatically improve diagnostic quality, efficiency, and accessibility.

Key figures

Development & Data partnerships per application
+10
We work with more than 10 leading medical institutions and organizations per application.
Automation of medical report structuring
98%
We can automatically structure medical reports with more than 98% accuracy.
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Automotive

There have been massive improvements in autonomous driving, and other related capabilities in the automotive industry in recent years. Driven by the pioneers in the industry, full market adoption of these technologies is approaching quickly. Deep learning is a major enabler in the space of autonomous driving systems and is used for various tasks including the detection of other vehicles, classification of traffic signs and obstacle recognition. For machine drivers to become safer than human drivers however, there is still some way to go. Experts agree nonetheless that deep learning will take this hurdle in the coming years.

Robust autonomous driving systems

In partnerships with leading German Automotives and OEMs, Merantix is working on level 4+ autonomous by going simulation-first. We are using smart augmentation algorithms and create simulated datasets to train and especially test neural network. That way we make autonomous driving systems robust and explainable. In addition, we have developed a testing system that can visualize the characteristics of a trained neural network and highlight regions as well as objects in a real or simulated dataset, that trigger decisions and quantify their impact.

Find below one of our developments, that we have open-sourced for the research community:

Picasso: A free open-source visualizer for Convolutional Neural Networks

Key figures

Number of Papers
4
published in top-tier journals and conferences on visualizing neural networks.
Exposed Software
75%
of automakers do not have a hacking countermeasure strategy in place.
Growth Rate
10x
faster growth rate of the connected car market vs. the total car market.

Adrian Locher

Adrian is a serial technology entrepreneur and founder of Merantix. He built and scaled his last business to a leading e-commerce player with more than 100M revenue and 200 employees. Adrian graduated from University of St. Gallen (HSG) with degrees in Business and Economics.

Ryan Holmdahl

Ryan is a Machine Intelligence Engineer at Merantix and is studying computer science at Stanford University. Prior to joining us Ryan worked for Microsoft and started his own health-tech company.

Maximilian Brandstätter

Max is part of the Business Development team at Merantix. He graduated with a Bachelor’s degree from the University of St. Gallen (HSG). During his studies he founded START Hack, a student-led hackathon with over 300 participants. Before joining Merantix, Max also gained experience as a Software Engineer.

Oliver Eidel

Oliver is a Frontend Engineer at Merantix. After graduating as an MD and completing his Doctorate Thesis summa cum laude at the University of Heidelberg, he gained experience as Frontend Engineer in a Medtech Startup. At Merantix, Oliver is responsible for frontend and product development.

Oskar Triebe

Oskar is a Machine Intelligence Engineer at Merantix. He is a top 1% graduate from ETH Zurich and Stanford University. During his studies he founded and led the Stanford Digital Shapers organization. Before joining Merantix, he worked for a cyber security startup in Silicon Valley as an AI Engineer.

Thijs Kooi

Thijs is a Machine Intelligence Engineer at Merantix. After graduating with a Masters degree in Artificial Intelligence cum laude from the University of Amsterdam, he continued research as a PhD student in the field of Diagnostic Image Analysis.

Luca Harrichhausen

Luca is part of the Business Development team at Merantix. He graduated in Economics from the University of St. Gallen (HSG), where he was the Co-President of START Global. Before joining Merantix, he gained experience as Consultant at McKinsey.

Rasmus Rothe

Rasmus is one of Europe’s leading experts in deep learning and founder of Merantix. He studied at ETH Zurich, Oxford, and Princeton. Previously he launched howhot.io as part of his PhD research, started Europe’s largest hackathon HackZurich, and worked for Google and BCG.

John McSpedon

John is a Machine Intelligence Engineer at Merantix. Prior to working for Facebook and Sift Science, he completed his studies in Computer Science at Princeton University.

Ryan Henderson

Ryan is a Machine Intelligence Engineer at Merantix and holds a PhD in Chemistry from Cornell University. Prior to joining Merantix, he worked for Intel and a Berlin-based Blockchain company.

Luc van Gool

Prof. Luc van Gool is an advisor to Merantix. He leads the Computer Vision Lab at ETH Zurich in Switzerland and the Institute VISICS at the University of Leuven in Belgium. He has been the advisor to more than 10 computer vision startups and serves on the board of various top tier journals and conferences.

Radu Timofte

Radu Timofte is an advisor to Merantix. He is a Research Group Leader at the Computer Vision Lab at ETH Zurich in Switzerland. He has published many high-impact papers on Computer Vision and Deep/Machine Learning in top-tier journals and conferences.

Arne Bleckwenn

Arne is a Partner at Merantix. He is a serial entrepreneur and angel investor. After building and exiting an online gaming company, he has built AirBnB competitor Wimdu and raised 90M EUR venture capital. He graduated from WHU with an MBA prior to joining McKinsey.

Jonas Muff

Jonas is Head of Business Development at Merantix. He graduated with a Bachelor’s degree from the University of St. Gallen (HSG). During his studies he was CEO of the START Summit, a student-led entrepreneurship conference with over 1000 participants. Jonas is also the initiator of the START Fund (part of HSG Foundation).

Stefan Bunk

Stefan is a Machine Intelligence Engineer at Merantix. After graduating with a Masters degree summa cum laude from Hasso Plattner Institute, he continued research at the institute before joining SAP and HERE (Audi, BMW, Mercedes).

Filippo Scopel

Filippo is a Machine Intelligence Engineer at Merantix. He holds a B.Sc. in Technology Management from the Technical University of Munich and a M.A. in Banking & Finance from the University of St. Gallen. Before joining us he worked for Ernst & Young, Julius Bear and most recently as a Machine Learning Engineer for a Munich-based IIoT company.

Gergely Szűcs

Gergely is a Machine Intelligence Engineer at Merantix. After completing his masters in mathematics at the University of Oxford, Gergely went on to pursue his PhD at Stanford University, where he is conducting research in Algebraic Topology.

Combining your industry expertise with our machine learning skills,

for a successful co-creation of new business opportunities.

Facts not just words

400 +

AI use-cases screened

20 +

applications prototyped

3

ventures built

200 +

Peer-reviewed research papers

Your data and knowledge,

Schedule an appointment

Meet us
Merantix GmbH
Friedrichstraße 68
10117 Berlin, Germany
Registration No.
HRB 176845 B
USt-IdNr
DE307424335
Managing Director
Dr. Rasmus Rothe

We are hiring,

we are looking for the most talented curious minds out there.

Career

Machine Intelligence Engineer

Berlin, Germany

Frontend Software Engineer

Berlin, Germany

Backend Software Engineer

Berlin, Germany