The measurement modern biology runs on — wherever the science happens.
We're rebuilding cytometry from first principles.
We're rebuilding cytometry from first principles.
Lab instruments were built around a person reading a screen. But models now design experiments faster than labs can run them, and the instrument has become the slowest part of the loop. Here's what we're changing, and why we started with the flow cytometer.
Narrated overview. Footage is illustrative — the chip and reader are in design; the analysis software is live today.
Look at any instrument in a lab. It was built for a person. A screen to read. Knobs to turn. A trained scientist to decide what the data means.
That made sense. For decades, a human was always the one asking the question.
That's changing. Models can now design experiments faster than a lab can run them. And the instrument has become the slowest part of the loop.
Samples queue for a shared machine. Someone draws the gates by hand. The results come back in a shape built for a person to read, not for a model to learn from.
So the loop stalls. Not because the science is hard, but because the hardware was built for a different user.
Both layers need rethinking. The hardware and the software, for a lab with AI in the loop.
We're starting with single-cell analysis. We're redesigning the flow cytometer.
Today that's a bench of lasers, mirrors and analog optics. Six figures, a dedicated room, a specialist to run it.
We're moving it onto semiconductor physics. Silicon photonics for the optics. Microfluidics to line the cells up, one at a time. And AI to design the instrument itself, then read what comes back.
The target is the marker depth of a spectral cytometer costing £350,000 — on a chip, in a box that sits on a bench.
Our analysis software is live today. The instrument is in design.
If you're curious, get in touch. verafab.bio
Every advance in modern biology comes back to one question: what are these cells, and what are they doing? Cytometry answers it better than almost anything we have — but today that answer lives in central labs, run by specialists. Biology has moved on: into manufacturing suites, automated pipelines, and clinics far from any core facility. The measurement should go with it — the same trusted answer, delivered on the spot.
Cytometry is indispensable across research, biotech and therapeutics, and today's analysers do exactly what they were designed to do — deliver rich, high-quality single-cell data in the central lab, in expert hands. The opportunity isn't to replace that. It's to extend the same capability to all the places that now need it and can't easily reach it.
Belief is only worth as much as what you build from it. So we rebuilt single-cell analysis — optics, fluidics and analysis together — into a sealed, single-use chip and a compact reader. No shared analyser, specialist operator or central lab required. Load the sample; standardised single-cell data comes back.
Single-use consumable. The whole assay and cell-handling path on one chip — microfluidics and photonics built in.
Compact, benchtop-to-field, factory-calibrated. No alignment; daily QC runs automatically and produces a report — insert and run.
Automated analysis with natural-language control — ask questions and drive the analysis in plain language, and get standardised, machine-readable data the moment the run ends.
The instrument is still being built — but you can already get a feel for how it will work. We've put an early version of the analysis layer online as a preview: upload an .fcs file, describe what you want in plain English, and watch standardised results come back. A window into the software that will one day live inside every reader — not the finished product, but a real glimpse of where we're heading.
Preview screenshot — populations and figures shown are illustrative.
One goal shapes every decision: take the most useful measurement in biology and put it within everyone's reach.
You can't reach this size, cost and consistency by shrinking a benchtop analyser — it takes designing the whole instrument differently. That's what our engine does: AI co-designs the instrument — optics, fluidics, detection and manufacturability together — bringing three hard disciplines into one system: microfluidics, integrated photonics, and AI, validated in silico before a part is ever built. You don't need to see the machinery to trust the answer — but that's the quiet engineering behind every unit.
We're taking on a small number of design partners — labs, biotechs and therapeutics teams who'll shape the product on their own workflows before it's fixed. Here's the exchange.
Shape the panels, the data format and what gets built first, while it's all still soft. Your workflow sets the priorities.
A joint concordance study on your assays and your workflow — indicative figures become real numbers you can put your name to.
See the turnaround and cost picture for your own site — panels, tube counts and service-contract savings, every input editable. Open the savings calculator →
Who we're looking for: flow-cytometry labs, cell & gene therapy and bioprocessing teams, and translational groups running panels day to day.
We're early, and we're building this with the people who'll use it. We're here to learn, and to find early-access partners and co-designers.
prathap@verafab.bio