BioReact provides bioprocess scientists with integrated software for data visualization, statistical analysis, and AI-driven parameter optimization. The platform ingests data from various instruments and bioreactors to model and recommend adjustments for critical process parameters like pH and nutrient concentration. This capability helps users achieve higher yields, reduce development timelines, and streamline bioprocessing operations.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Bioprocess scientists face challenges in efficiently managing and analyzing large datasets from diverse bioreactors, hindering data-driven decision-making and process optimization. Manual data alignment and visualization are time-consuming, while disparate data formats complicate collaboration and insight generation.
Solution
BioReact is a data management platform designed to streamline bioprocess data analysis and collaboration. The platform automatically aligns and visualizes online and offline datasets from various bioreactors, eliminating manual data processing. Its Opti-ML algorithm leverages machine learning to analyze Design of Experiments (DOE) datasets and historical records, identifying optimal growth conditions, nutrient requirements, and environmental factors to improve yield and reduce production costs. BioReact integrates with major bioreactor manufacturers, enabling real-time data analytics and automated data uploads.
Target Audience
BioReact targets bioprocess scientists and engineers in the biotechnology, pharmaceutical, and food industries who seek to optimize bioreactor performance, improve yields, and accelerate process development.
Features
- Automatic data alignment of offline and online datasets from diverse bioreactors
- Interactive data visualization tools for rapid data exploration and analysis
- Opti-ML algorithm for AI-driven bioreactor parameter optimization
- Design of Experiments (DOE) tools for parameter and media design space exploration
- Statistical analysis capabilities, including PCA, factor importance, and variation analysis
- Custom integrations with major bioreactor manufacturers (e.g., Sartorius, Infors, Eppendorf) for real-time data analytics
- Automated alerts for batch contamination or deviations from expected performance