DEEPC sits at the intersection of computational chemistry and pharmaceutical science . We built it to reverse Eroom's Law: PhD-level formulation science backed by purpose-built AI, cutting formulation timelines from months to minutes.
For decades, pharmaceutical development has been constrained by Eroom's Law, where formulation development becomes slower and more expensive over time. We were founded to reverse this curve.
Operating from the Golden Triangle, the densest corridor of pharmaceutical research and AI talent in Europe.
Pharmaceutical scientists, AI engineers, and enterprise operators.
Stanford Top 2% Scientist in pharmaceutical science (2022-present). PhD Mechanical Engineering, MSc Biomedical Engineering, BSc Pharmacology. 3,000+ citations across AI-driven formulation design and 3D pharmaceutical printing. One of few researchers to take ML models from theory to physical drug manufacturing.
MSc Artificial Intelligence for the Biosciences. Applied ML and AI to formulation design at an innovator pharma company before building the neural networks behind DeepCeutix, including the Reality Anchor, the constraint system that stops generative models from hallucinating chemistry.
Serial entrepreneur, 30+ years building and scaling technology companies. Multiple exits. Jawad runs the operational side of DeepCeutix, making sure the science actually ships as enterprise software.
Backed by world-class technology partners and validated through strategic collaborations with industry-leading organizations.
A King's Award winner providing physical material science oversight and wet-lab validation. M2M's empirical testing ensures DeepCeutix agents stay grounded in laboratory reality, not abstract models.
Member of NVIDIA's Inception Program. Access to GPU computing and AI infrastructure for training pharmaceutical formulation models.
Part of the European Institute of Innovation & Technology's health network, connecting DeepCeutix with Europe's leading health innovators and research institutions.
Tell us what you are working on (molecule, indication, stage, open question).
A formulation lead will be in touch within a business day.
