Full human cell simulations — closing the gap between silicon and carbon.
SimCell is our audacious step toward programmable biology: universal initial-state definitions, mechanistic models, and a search engine to explore disease mechanisms and pharma targets — as fast and iterative as software.
Technology
From curated databases to mechanistic graphs: we synthesize structured knowledge into deterministic systems that run fast and compose cleanly.
- Universal initial state: genes, epigenetics, organelles, protein levels → any cell type (neuron, stem, cancer, engineered).
- Mechanistic ODE/graph models with feedback loops; no trillion-param training needed.
- Search engine to explore disease pathways, targets, apoptosis routes, and drug effects.
- Simple APIs & visuals for rapid prototyping, like software.
Why now?
It’s a paradox: we run trillion-parameter AIs trained from scratch, yet biology — where we already know so much — trails behind. We aim to close the gap between silicon on CPUs and carbon in cells, bringing biology into the era of emergent, iterative tooling.
“Make biology buildable.”
About Noonautics Labs
NOONAUTICS LABS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Legal form: sp. z o.o. • Kraków (Kraków-Podgórze), Małopolskie
BADANIA I ROZWÓJ W ZAKRESIE SYMULACJI KOMÓRKOWYCH, BIOINFORMATYKI I TWORZENIA NARZĘDZI DLA BIOTECHNOLOGII.
Focus
- Full human cell simulations (mechanistic).
- Bioinformatics pipelines & knowledge synthesis.
- Developer-grade tools for biotech teams.
Team
Marcel Tomaszek — Cellular & Molecular Biophysics, UJ
marcel.tomaszek@student.uj.edu.pl
Oskar Lurka — Cellular & Molecular Biophysics, UJ
What we’re building next
- Open APIs for state definitions and simulation control.
- Interactive visuals for pathway exploration.
- Whitepaper & demo (in progress).
Contact
General: contact@noonauticslabs.org
We’re preparing our conference materials. A whitepaper and demo access will follow.
For partners
Exploration of disease mechanisms, target discovery, and in-silico hypothesis testing. Let’s collaborate on focused, mechanistic problems.