In 2025, we founded BioCorda AI Labs. The mission of this lab is to transform pharmaceutical R&D through AI-driven innovations and data-driven decision-making, accelerating the entire drug development lifecycle— from target identification and molecular design to preclinical and clinical research— enabling faster, smarter, and more efficient therapeutic breakthroughs.

The lab brings together experts spanning from the heart of Europe to Silicon Valley, from diverse domains including deep learning practitioners, high performance computing architect and data scientists specializing in the pharmaceutical industry, computational chemists focused on AI applications in molecular modeling and drug discovery, and machine learning engineers with hands-on experience in open-source large language models such as Mistral, LLAMA, Qwen, and DeepSeek—coming from AI industry leaders such as NVIDIA, Apple. Additionally, the team includes top contributors to foundational AI infrastructure, including deep learning frameworks such as PyTorch and TensorFlow, deep learning compilers, GPU algorithms, and large-scale model training libraries.

We believe that this diverse background empowers us to achieve groundbreaking success in interdisciplinary research. Our team’s expertise spans not only the pharmaceutical domain but also the forefront of AI itself, enabling us to drive innovation at the intersection of both fields.