BioRaptor

BioRaptor is a data analytics platform for bioprocessing teams. It collects the data an existing process development group already generates, harmonizes and contextualizes it in one place, and runs cross run analysis on top, so scientists can compare runs and find the factors behind process variability without exporting everything into spreadsheets first. Data collection covers online, at line and offline sources. An importer pulls from devices, batch records and partners such as contract manufacturers, process data from different machines is aligned automatically regardless of sampling frequency, naming conventions are standardized across systems, and bioreactors can be monitored live with alerts configured to catch a run before it fails. Analysis is meant to be usable without statistics training: preset queries can be edited or replaced with open ended questions, parameters can be changed virtually to see how an outcome shifts, and hypothesis free analysis surfaces which factors are influencing results. Output lands in automated end of run summaries, reports, graphs and dashboards that can be templated and shared. The platform is built for regulated work, with records designed around ALCOA plus data integrity principles and support for electronic records and signatures under 21 CFR Part 11, including audit trails, role based access control and encryption. The company positions the product as purpose built for biology rather than adapted from another industry, handling time series measurements, offline data and both objective and subjective inputs, and designed to absorb new devices, new calculations and larger scale without rework. No pricing is published. Every call to action on the site routes to a demo request, so plans and commercial terms are set in conversation with the company.