get your results fast and reliable

Accelerate Protein Design with Computational AI Methods

I'm your Protein Designer Literature Assistant High throughput screening Co-Scientist

What We Do

AI-Powered Protein Engineering

We develop an AI-powered autonomous protein engineering agent that efficiently navigates the vast protein sequence space, generates novel candidate sequences, and evaluates their suitability for various design tasks.

Revolutionizing Drug Discovery

Our innovative approach combines deep learning, advanced computational techniques, and deep domain expertise to accelerate the drug discovery process, reduce costs, and improve the likelihood of finding effective therapeutics.

Customized AI Solutions for Biotech

We offer tailored AI-driven solutions to pharmaceutical and biotech companies, ranging from research project contracts to a token-based AI platform, enabling clients to leverage cutting-edge AI tools for protein design and engineering.

Why Augmented Reality?

Forget complicated Pipelines

AI-DT’s integrated pipeline offers a streamlined solution that replaces the need for multiple specialized PhD researchers, saving time and resources. Our advanced artificial intelligence and digital twin technology combines expertise across chemistry, computer science, pharmacy, and biochemistry into a single, powerful platform. By leveraging AI-DT, companies can accelerate their drug discovery and development processes, gaining insights and results that would typically require a diverse team of highly educated specialists.

Why Us?

Our diverse team of experts combines decades of cross-disciplinary experience to overcome complex challenges in drug discovery and development. By leveraging our collective knowledge and cutting-edge technology, we transform multifaceted scientific hurdles into actionable insights and solutions

Contact Us!

Interactive. Enhancing.With Reasoning

Why choose us?

Interdisciplinary Expertise

Our founding team combines diverse backgrounds in AI and biochemistry, allowing us to “speak both languages” and bridge the gap between computational experts and experimental understanding.

European Data Security

As a German start-up, we offer the safety of European regulation and data handling, ensuring that our clients’ shared data is processed under strict rules without being shared with big American companies.

Scalable and Versatile AI Platform

Our AI-agent is designed to be flexible and adaptable to various tasks and projects, offering a user-friendly interface that reduces the time for design results by ten- to twentyfold compared to traditional methods.

The Expert Team

Fabian Liessmann

Pharmacist

Fabian is a pharmacist with a robust foundation in pharmaceuticals and biotechnology. Over the past five years, he has dedicated himself to pursuing a PhD in computational chemistry and pharmacy, specializing in the identification of small molecule ligands and peptide binders. His research has focused on uncovering binding modes and optimizing them using advanced computational approaches. With a passion for drug discovery, Fabian is at the forefront of combining chemistry, biology, and AI to develop innovative solutions in the pharmaceutical field.

Paul Eisenhuth

Computer Scientist

Paul is a seasoned computer scientist with a strong focus on C++ development, particularly in the realm of computer-aided drug discovery. For the past two years, his work has been centered on geometric deep learning, where he has enhanced ligand docking and scoring methods. Paul also played a key role in an international drug discovery initiative, where his team’s proposed binders for a previously undrugged protein were experimentally validated, marking a significant advancement in the field.

Felipe Aliaga-Engelberger

Chemist/AI Engineer

Felipe is a chemist and AI engineer who is deeply committed to driving positive change through science and technology. With a focus on sustainability, he works at the cutting edge of AI research, exploring the intersection of geometric deep learning, Bayesian statistics, biophysics, and machine learning-driven evolution. Felipe is constantly developing innovative ideas and leading teams to turn them into impactful solutions that contribute to a more sustainable and healthier world.

Ivan Ivanikov

DevOps Engineer

Ivan is a skilled DevOps engineer with years of experience in deploying software and infrastructure across diverse platforms. For the past three years, he has been applying his expertise to the development of AI algorithms for protein design and feature prediction. His work merges a deep understanding of efficient systems with a passion for computational biology, enabling groundbreaking advancements in the field of protein design and AI-driven biological research.