AI-Driven Therapeutics' Co-Scientist enables protein engineering and optimization – from sequence to candidate generation – without complex bioinformatics workflows.
From sequence to design, we help biotech and pharmaceutical teams accelerate protein engineering through AI-powered software and computational research services - saving valuable time and resources.
An intuitive and interactive platform for advanced protein design. Access state-of-the-art computational methods without building complex bioinformatics workflows.
Currently in closed beta.
Need capacities and capabilities beyond Co-Scientist? Our interdisciplinary team develops customized AI-driven solutions for computational protein design and analysis — tailored to your specific challenges.
Explore how our AI-driven platform streamlines protein engineering, from sequence analysis to candidate design, within a single intuitive interface.
Enter a protein name and let the Co-Scientist fetch the sequence or upload your own data.
Chat with Co-Scientist and describe your research objective. The Co-Scientist recommends the most suitable protein design and analysis methods.
Launch advanced protein engineering workflows, with compute handled by us and your data staying with you — no heavy infrastructure required.
Explore generated candidates, then export for experimental validation or refine your designs. Co-Scientist is ready for the next challenge.
We develop customized AI-driven solutions tailored to your specific challenges.
Validated through 7 pilot partnerships.
Improve stability, activity and specificity through AI-driven protein engineering.
Analyze binding interfaces, interaction hotspots and binding affinity of protein-protein interactions.
Reveal mechanistic modalities through modeling, docking and energy calculations to prioritize promising candidates.
From geometric deep learning to machine learning-guided directed evolution and the other points listed: Tell us about your challenge – we’d love to help you find a solution. Get in touch.
Our team combines decades of experience across computational biology, machine learning and software engineering to accelerate protein design and drug discovery.
Fabian leads the company's strategy, partnerships, and scientific vision. With a background spanning computational drug discovery and molecular modelling he drives the company's vision.
Nikola leads the company's financial strategy. With 20+ years of CFO experience across tech companies, she brings extensive expertise in financial management and corporate governance.
Ivan transforms compute-heavy prediction models into easy-to-use solutions. He has years of expertise in development of AI algorithms for protein design and matching infrastructure and deploying software.
Paul shapes our business strategy. Building on his expertise in developing novel algorithms for computer-aided drug discovery, he combines scientific insight with strategic thinking to drive our growth.
David is shaping the architecture and user experience of Co-Scientist's platform. With his expertise, he bridges life-science approaches with modern software engineering infrastructure.
Alexandra bridges computational methods and applications. Her expertise in structural analysis, including intrinsically disordered proteins, translates molecular insights into predictive approaches.
Johanna optimises the Co-Scientist's platform based on experimental biochemical data. Thus, her expertise in structure-driven vaccine design is applied. She is associated through shared funding.
Max integrates advanced protein design tools into the Co-Scientist's platform. His expertise ranges from protein engineering to de-novo protein design, including non-canonical amino acids.
Hannes integrates state-of the art protein design tools into the Co-Scientist's platform. His expertise lies in deep learning-guided drug discovery focusing on de novo peptide design.
State-of-the-Art methods and computational models are ready to use. No Infrastructure Required.
AI-driven platform built by scientists with deep domain expertise.
Proven in real-world protein design workflows.
Recognized and supported through leading innovation programs and funding.
Built and hosted in Germany under strict EU/GDPR regulations.
Whether you are:
• Interested in exploring our Beta-Version of Co-Scientist Platform
• Seeking tailored AI solutions beyond Co-Scientist
• An investor interested in our upcoming seed round
• Passionate about protein design and AI-Driven Therapeutics
We'd love to hear from you. Let's get in touch.
Email: contact@ai-dt.de