Purification is a black box
Too many parameters, too few answers
Downstream runs juggle countless levers—filter pore sizes, column residence times, centrifuge spin profiles, buffer hold temperatures, resin reuse cycles—yet most of that metadata lives in siloed spreadsheets or LIMS fields nobody ever queries. The result: when yield drops or purity drifts, teams waste hours guessing where to look.
Manual work that rarely pays off
Even if the data is captured, analyzing it requires hours of manual effort - searching through experiment folders, merging Excel sheets, normalizing data. It’s so tedious, many teams don’t even try unless there’s a crisis.
You don’t know what you don’t know
Small changes like a new filter batch or shift in centrifuge parameters can quietly impact final product quality. Without a system that logs and correlates these variables over time, it’s easy to miss root causes until it’s too late.
Real-time visibility for downstream bioprocessing

Centralized process intelligence
BioRaptor captures and structures data from every downstream run filters, centrifuges, timings, yields into a unified view. No more digging through folders or reconciling formats.

Reveal what’s driving purity
Our platform lets you compare runs across any parameter: flow rates, filtration cycles, buffer conditions. You can instantly see what contributes to better yield or purity, and what’s introducing noise into the process.

Move from guesswork to confidence
By visualizing and quantifying the downstream process, BioRaptor empowers scientists to make data-driven decisions reducing failed batches, accelerating process development, and avoiding costly surprises in scale-up.

What BioRaptor Can Do for Your Bioprocess

Higher purity

Faster recovery

Improved yields

Process consistency

Reduced variability

Fewer bottlenecks

Optimized parameters

Real-time insights
With Bioraptor we have visibility of every biological metric and are able to do root cause analysis and deep investigation. It is a critical tool for our bioprocess optimization.

Ilan Sobel
CEO, BioHarvest Sciences Inc.
