About Us

Founded in 2007, Berkeley, CA

In 2007, a team of Berkeley PhDs and entrepreneurs sat down to look at modeling for biomanufacturing. Why was the industry dominated by Excel-based decision-making? And why was the industry so averse to using modeling technologies?

The answer they came to was compelling: better modeling held great promise to revolutionize the way decisions were made within organizations, but the available software was slow, inefficient and simplistic. Models seemed to be more about creating pretty animations than performing actual analysis. The models that were constructed were outdated and inaccurate almost before they were finished. And people didn’t believe the answers, instead trusting their own ‘back of the envelope’ calculations.

Envisaging technological breakthrough, the Bioproduction Group was established. The Group sought to change the paradigm of modeling technology: to break from conventional thinking to create a true analytical platform based on real-time data, collaborative technologies and a user-friendly enterprise platform. Something that would build on Manufacturing Intelligence, Big Data and Simulation to create a platform that was truly revolutionary.

Together in a little brick office in Berkeley and fueled by industrial strength caffeine, the team has worked to link operating data and models to create a new platform for decision-making - one based on empirical evidence. In-house technological advances were improved with the counsel of Bio-G's advisory group of top biotech and bioprocessing experts from around the world, familiar with the data-hungry biomanufacturing operations community.

Bio-G's real-time modeling technology has been designed specifically for the analyst: fast models of hundreds of years of plant performance per minute, based on actual data linked in real-time to the enterprise. These tools make the analyst's world easier to navigate and inspire better decision-making around variability and change. Since that first meeting in 2007, already a growing number of individuals and organizations are benefiting.