BioReact
Information
BioReact is an AI-powered software platform designed to revolutionize how scientists manage, analyze, and optimize bioreactor parameters. By unifying online, offline, and metadata from bioreactors into a single structured dataset, BioReact enables rapid visualization, statistical analysis, and machine learning-driven optimization — turning hours of manual work into insights in seconds.
Today, scientists in biopharma, industrial biotech, and cell-based food production face fragmented data environments. Critical information from sensors, spreadsheets, and lab notebooks often remains siloed, slowing decision-making and making it difficult to identify the true drivers of yield, productivity, or quality. BioReact eliminates these silos by automatically integrating and aligning data across every run, experiment, and process parameter, enabling users to visualize complex datasets instantly and uncover patterns that were previously hidden.
At the core of the platform is Opti-ML, BioReact’s proprietary algorithm trained on over 12 million bioreactor data points across bacterial, fungal, mammalian, and algal systems. Opti-ML analyzes historical datasets to predict optimal growth conditions — including pH, temperature, dissolved oxygen, nutrient feed, and agitation rate — and has demonstrated up to a 22% increase in yield compared to traditional Design of Experiments (DoE) approaches. The system’s AI recommendations outperform expert-designed DoEs in roughly 80% of cases, empowering scientists to make smarter decisions faster and achieve reproducible results with less experimentation.
Today, scientists in biopharma, industrial biotech, and cell-based food production face fragmented data environments. Critical information from sensors, spreadsheets, and lab notebooks often remains siloed, slowing decision-making and making it difficult to identify the true drivers of yield, productivity, or quality. BioReact eliminates these silos by automatically integrating and aligning data across every run, experiment, and process parameter, enabling users to visualize complex datasets instantly and uncover patterns that were previously hidden.
At the core of the platform is Opti-ML, BioReact’s proprietary algorithm trained on over 12 million bioreactor data points across bacterial, fungal, mammalian, and algal systems. Opti-ML analyzes historical datasets to predict optimal growth conditions — including pH, temperature, dissolved oxygen, nutrient feed, and agitation rate — and has demonstrated up to a 22% increase in yield compared to traditional Design of Experiments (DoE) approaches. The system’s AI recommendations outperform expert-designed DoEs in roughly 80% of cases, empowering scientists to make smarter decisions faster and achieve reproducible results with less experimentation.