Reveal the risks, Advance the best!

Side-effect forecast for smarter decisions through Digital Twin technology.

How to solve Pharma's big problem?

How to reduce the time and cost of preclinical drug development?
How to avoid late development failures due to adverse side effects?

Cytocast Screener

From dry lab to wet lab (before any new synthesis)

Accelerates early discovery by narrowing down thousands of compounds to the best selection with clear ranking reports on potential side-effects to focus resources efficiently.

Cytocast Optimizer

From early to late phase preclinical studies

Refines your candidates after in vitro and in vivo testing, delivering top selections enriched with side-effect insights and comparative analyses to support confident preclinical progression.

Cytocast Nominator

For lead and backup nomination

Provides in-depth reports and detailed result analyses for the final candidates to optimize decision-making for clinical trials.

Interested in our products?

Contact us

How we do it

Cytocast is using computer simulations to determine the most effective treatment for patients while minimazing potential side effects

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Blog

TechBio, Biotech, and DeepTech: key differences and why they matter 

TechBio, Biotech, and DeepTech: key differences and why they matter 

Technological advancements are reshaping healthcare, biology, and the pharmaceutical industry, yet the terms TechBio, BioTech, and DeepTech are often used interchangeably.

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Virtual drug testing: can AI and cell simulations replace lab experiments? 

Virtual drug testing: can AI and cell simulations replace lab experiments? 

Using AI and whole-cell simulations, our team at Cytocast is building the next generation of drug discovery tools. The CYTOCAST DIGITAL TWIN Platform™ creates realistic, dynamic models of human cells, capable of simulating billions of molecular interactions per second.

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Unlocking the power of computational tools in protein complex prediction

Unlocking the power of computational tools in protein complex prediction

Proteins rarely function in isolation. Interactions between thousands of proteins shape a cell’s PPI network, forming transient or stable complexes.

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