CONTACT CLOSE ABOUT US In Vivo Models In Silico Models APPLICATIONS InCELLiA is a Greek startup company focus on mechanistic modelling which could be used to support a plethora of priority sectors ranging from pharmaceutical manufacturing, to ecology and personalized and precise in silico derived therapies. CONTACT LINKEDIN info@incellia.com EIC Pathfinder Research Project: developing a platform to accelerate the discovery of therapeutic nanobodies for cancer (EIC Pathfinder program 2023 of the European Innovation Council (EIC) under Grant Agreement #101130574.)

Beyond Simulation The Symphony of In Silico Life LEARN MORE

We do not merely model reality. We reconstruct its dynamics. At INCELLia, in silico modeling is not a tool — it is an ecosystem of logic, a living architecture of mathematics, designed to interpret, predict, and recompose the language of biology. We do not merely model reality.
We reconstruct its dynamics, from molecular ripples to population flows — integrating clinical signals, genetic mutations, and experimental observations into adaptive mathematical organisms.
 Our approach fuses: Multiscale Calibration From single cells to systems, from Danionella to patients. Precision Forecasting Predictive maps for drug action, resistance, toxicity, and response heterogeneity. Mechanistic Logic Differential equations, structured population dynamics, agent-based topologies Learning Algorithms Neural computation meets curated biological priors

Each model is more than simulation — it is a thinking entity, shaped by reality, trained by biology, validated by life itself.

A living algorithm tuned to the patient’s unique biological fingerprint, capable of forecasting therapeutic trajectories with unprecedented precision

We call this “Living Math™” —
a new paradigm of intelligent modeling, where every equation breathes biology and every output guides a future clinical insight.

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CONTACT

96 Dimitriou Gounari Street, 15125, Marousi, Athens, Greece
Email: info@incellia.com

FUNDING

EIC Pathfinder Research Project: developing a platform to accelerate the discovery of therapeutic nanobodies for cancer (EIC Pathfinder program 2023 of the European Innovation Council (EIC) under Grant Agreement #101130574.)

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