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Data & partnerships
Real human cell data, built for decisions.
Every CardioVive run is read several ways and logged end to end, from cell line to compound.
Five readouts, one tissue.
- ImagingStructure and cell composition
- ElectrophysiologyAction potentials by chamber
- ContractilityBeat rate, force, relaxation
- Single-cell RNAGene activity in every cell type
- BioprocessEvery batch, traceable
Single-cell RNA runs on external sequencing today; in-house sequencing is being built.
Imaging, layer by layer
One tissue. Many signals.
Each stain gets its own channel, so every cell type can be located and counted, then merged into one picture.
How the data is made
Same protocol, every run.
Grow
One iPSC line, 0.1–15 L bioreactors
Dose
Compounds next to safe controls
Read
Imaging, electrophysiology, contractility
Sequence Building
Single-cell RNA in-house
Learn
CytoHub.AI analyses every run
From data to answers
CytoHub.AI turns each run into a report.
Live 3 AI tools
Contraction kinetics from video
Image-based phenotyping
Data and literature Q&A
Data from every run
↓ Report per compound
Building Foundation model
CytoRNA-FM
Single-cell model for human heart biology, built on scVision from our Stanford collaborators and tuned on CardioVive data.
Ways to work with us
Start with a study. Grow into a partnership.
Studies
Functional cardiac data on your compounds, with a report per compound.
Data partnerships
Studies plus single-cell sequencing to show the mechanism behind each change.
Model access
CytoHub.AI and CytoRNA-FM for in-silico questions.
Your compounds and results stay confidential. Every agreement sets data ownership and use before work begins.