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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.
Our values
Our Leadership
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.
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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."
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What moves us?

To the blog
Transforming complex AI challenges into real impact: The intelligent healthcare system for the next decade
Turning AI challenges into real effects – together
Germany at a turning point - Why our future depends on digitalization and AI
From buzzword to business lever: How business leaders use AI in practice, for themselves and their company
AI as the key to administrative modernization: A practical step-by-step model for public administration
Why compliance officers can no longer afford to ignore AI
Clyravision: An entire forensics team in one system
From Data to Impact - How industrial companies create real added value with AI
Artificial Intelligence for Private Equity Portfolios
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Can a diverse team develop better AI? The answer is a resounding yes.
From bottleneck to breakthrough: Why AI is crucial for progress in healthcare and pharma
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
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AI-Driven Compound Optimization in the Large Molecule Space
Towards Tabular Foundation Models
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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
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The AI Canvas: Our tool for project evaluation
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Transforming complex AI challenges into real impact: The intelligent healthcare system for the next decade
How AI, collaboration, and secure data infrastructures are redefining research, diagnostics, and care, paving the way for the intelligent healthcare system of the next decade.
Turning AI challenges into real effects – together
How we can transform complex challenges in healthcare and pharmaceuticals into real impact through responsible AI, strong collaboration, and digital leadership.
Germany at a turning point - Why our future depends on digitalization and AI
How Germany can maintain its economic strength and shape a sustainable society with AI, digital education and determined progress.
From buzzword to business lever: How business leaders use AI in practice, for themselves and their company
A practical guide for leaders who want to make good use of AI for personal productivity and corporate impact.

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