Who we are.
● About us.

We are a team of experts in our fields, united in our conviction to make the potential of Artificial Intelligence accessible to all.
50+
Team members
2019
Foundation
15+
Nationalities
Our values

Open minded culture

We foster a corporate culture where excellence and curious minds can flourish, where everyone's contribution is welcome and the best ideas win.

Responsible technology

We take responsibility for the solutions we develop. We want to ensure that technology serves humanity and develop solutions that are in line with these principles.

Customer orientation

Our customers come first. We develop technologies to add value and solve our customers' problems. Our goal is to understand your needs and develop innovative solutions for you.
Our Leadership Team

Management in the hands of AI pioneers

Nicole

Büttner-Thiel

Nicole Büttner-Thiel is an experienced business leader, tech optimist and economist. In the past, she worked in asset management as well as strategy consulting, founded her own AI company and has experience in developing AI strategies for clients from various industries. She holds a degree in econometrics from the University of St. Gallen.
Linkedin

Dr. Thomas

Wollmann

Dr. Thomas Wollmann is an experienced expert in machine learning and AI infrastructure. He completed his Ph.D. (Dr. rer. nat.) in Computer Science and an M.Sc. in Medical Informatics at the University of Heidelberg. In his doctoral thesis, he contributed to high-content microscopy image analysis. In addition, Thomas Wollmann has more than 10 years of experience in computer vision.
Linkedin

Nicole

Büttner-Thiel

Nicole Büttner-Thiel is an experienced business leader, tech optimist and economist. In the past, she worked in asset management as well as strategy consulting, founded her own AI company and has experience in developing AI strategies for clients from various industries. She holds a degree in econometrics from the University of St. Gallen.
Linkedin

Dr. Thomas

Wollmann

Dr. Thomas Wollmann is an experienced expert in machine learning and AI infrastructure. He completed his Ph.D. (Dr. rer. nat.) in Computer Science and an M.Sc. in Medical Informatics at the University of Heidelberg. In his doctoral thesis, he contributed to high-content microscopy image analysis. In addition, Thomas Wollmann has more than 10 years of experience in computer vision.
Linkedin
Paul
Head of Professional Services
"It's incredibly fun to bridge the gap between AI research and AI application with a team like this."
Hanna
Team Lead ML Project Management
"Every day I work with a great team to bring Machine Learning from research to practice."
Moritz
Team Lead AI Strategy
"AI touches every industry and allows us to work with exciting customers from diverse backgrounds."
Hasna
ML Project Manager
"Together, we're building a team that is driven by purpose and excels."

What moves us?

To the blog
Addressing Challenges and Opportunities in Medical Writing Using AI
How do you make 30 years of data accessible?
Leveraging the EU AI Act to your advantage
AI-Driven Compound Optimization in the Large Molecule Space
Towards Tabular Foundation Models
Building Better Medicines: Exploring AI-Driven Compound Optimization
DNA-Encoded Libraries and AI for Compound Identification
AI Readiness in the Industrial Sector - Do's and Don'ts
Putting AI predictions into practice
From data chaos to breakthroughs
Reliable and crisis-resistant inventory optimization
Data-driven to the drug of tomorrow
The AI Canvas: Our tool for project evaluation
Addressing Challenges and Opportunities in Medical Writing Using AI
An interview with Dr. Richardus Vonk, Independent Advisor and Dr. Bertram Weiss, VP Health Vertical at Merantix Momentum.
How do you make 30 years of data accessible?
In conversation with Jonas Münch, who developed a RAG chatbot at Bayer that combines 30 years of internal data and clinical results in one place.
Leveraging the EU AI Act to your advantage
Using the EU AI Act to your advantage
AI-Driven Compound Optimization in the Large Molecule Space
An expert interview on AI-Driven Compound Optimization in the Large Molecule Space.
We would like to get to know you!

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