Bioprocess modeling, in silico

Deep process insights through modeling — for everyone.

You don't have to be a modeler, or a buffer chemist. We encode decades of bioprocess know-how into predictive, first-principles software — so you can characterize and verify a unit operation in silico, before you commit a single reagent. We start with buffers.

Starting with buffers

Buffers look simple. They aren't.

A buffer is "just" a recipe and a pH — until you account for multiple dissociation constants, ionic strength, and how a 10% weighing error moves the result. The Henderson–Hasselbalch equation ignores most of it. We model the real chemistry from first principles, so the prediction matches the meter — and so you can ask what if in software instead of at the bench.

One tool, three jobs

Design · Understand · Document

Design

Get the recipe right the first time.

The first-principles engine handles the hard chemistry — multiple pKas, ionic strength — so you don't have to be a buffer expert. Describe what you want, even in plain language, and get a recipe that hits target.

Understand

Run the experiments in silico.

Sweep concentrations, stress-test robustness with a ±10% heat-map, watch how salt shifts pH. Characterize a buffer and build real intuition — without using a single reagent.

Document

Walk into tech transfer with the report done.

Every buffer comes fully characterized — compounds, ions, ionic species, achievable-pH range, and sensitivity. A documentation package for the plant, generated, not measured.

Predict, don't pipette

The experiments you run in silico

Because the engine is predictive, each of these is an experiment you'd otherwise run slowly at the bench.

Predict & invert

Predict the pH of any composition — or design to a target pH.

Robustness heat-map

Perturb each component ±10% to find the robust operating point, not just a working one.

Ionic-strength effects

See how added salt shifts pKa and pH — exactly what Henderson–Hasselbalch misses.

Formulation bake-off

Same target, different species — compare achievability and robustness side by side.

Full characterization

Break any buffer down to compounds, ions, and ionic species with a charge balance.

Design-space scan

Find the feasible, robust region before you commit anything to the bench.

From bench to plant

The report, generated — not measured

The same model that designs a buffer documents it: composition, ion balance, achievable-pH range, and sensitivity. Assemble a comprehensive characterization for every buffer in your process — the package a tech transfer needs — without generating every data point at the bench.

Try it on your next buffer

Free to use on the web, iOS, and Android.