The Data Copilot for Bioprocess Scientists
Why BioReact?
The only software bioprocess scientists need.
Data Visualization
Upload data from any instrument in your lab, offline or online. Automatically align multiple datasets from an experiment and visualize datasets in seconds.
Statistical Analysis AI Optimization
Leverage DOE, PCA, Factor Importance, and AI-driven parameter optimization, all in one platform.
Equipment Integrations
BioReact integrates with all major bioreactor manufacturers including Sartorius, Infors, Eppendorf, and more.
About Us
We’re at the forefront of data management, analytics, and modeling in bioprocessing. Our software transforms raw data into actionable insights with unprecedented speed and accuracy.
Our mission is to empower biotech professionals with the tools and insights needed to make informed decisions, streamline operations, and achieve superior outcomes. Through our advanced data management and modeling solutions, we aim to transform the way bioprocessing data is utilized, delivering faster and more accurate insights.
FAQ’s
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The Opti-ML algorithm optimizes bioreactor parameters using AI-driven algorithms. By analyzing DOE datasets and historical records, the algorithm will identify optimal growth conditions, nutrient requirements, and environmental factors for optimal process performance.
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Our algorithm is proprietary and designed with over 12 million datapoints used as a training dataset.
We also offer a flexible interface for scientists to use their own
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Ideally, the more data uploaded the better. We recommend at least 10 DOE datasets per project to begin using Opti-ML.
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BioReact’s ‘Opti-ML’ software will automatically parse offline and online data and aligns them to the time series provided in your experiment data files.
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We offer DOE tools to explore parameter and media design spaces. We also offer PCA, Factor Importance, and Variation Analysis.
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BioReact offers custom integrations with most major bioreactors and offline laboratory equipment. Integrating BioReact allows for real-time data analytics, automatic data upload, and notifies users if a batch is contaminated or deviating from similar batches.
Bioprocess Meets Ai
Our Opti-ML algorithm is designed to analyze, model, and optimize various parameters crucial for bioprocesses, such as temperature, pH, nutrient concentrations, and media composition. By ingesting and interpreting DOE datasets from, our algorithm can identify optimal conditions, predict outcomes, and recommend parameter adjustments on the fly, leading to higher yields, reduced production costs, and shorter development cycles.
Opti-ML combines the power of data-driven insights with the adaptability of AI algorithms, offering scientists and engineers a valuable tool to streamline and improve bioprocessing operations.