Our story
Why SnapCyte?
SnapCyte started with a problem every lab knows but few can fix: the same experiment, run twice, gives two different answers. Not because the science is wrong, but because the way we measure it isn’t reproducible. Manual image analysis is subjective. Off-the-shelf tools break on real lab data. And the results that get published often can’t be replicated by the people who try.
We think that’s a problem worth solving at the root.
Our mission and vision
Analysis you can trust
We want analysis you can trust. SnapCyte builds AI that reads cell images the same way every time, on the messy, variable, real-world data that labs actually produce. Reproducible by default, so scientists can spend their time on discovery instead of second-guessing their measurements.
We’re biologists and AI engineers working in the same room. Good science tools come from people who understand the science, not just the software. We’re building toward a future where reproducibility isn’t a crisis, it’s the baseline. Where any lab, anywhere, can measure what they see and trust the number.
Our Partners
Collaborating with leading organizations
