Designed for Your Industry
BioReact gives scientists across fermentation, biopharma, and contract manufacturing a single system to organize, visualize, and optimize their data.
Fermentation R&D
BioReact accelerates fermentation R&D by automatically aligning and analyzing experimental data from bioreactors and offline lab equipment, eliminating hours of manual spreadsheet work.
Our AI-driven algorithms suggest optimal growth conditions, helping process development professionals quickly identify ways to improve yields such as biomass, viability, and titer. This reduces the number of trial-and-error experiments needed, shortening timelines from early development to pilot scale.
Key Features
Strain optimization
Compare performance across strain variants
Media development
Test nutrient formulations with AI simulation
Process transfer
Document and standardize conditions for scale-up
Biopharma R&D
GxP-compliant data management for mAbs, gene therapies, and advanced biologics.
BioReact streamlines biopharma R&D by providing a GxP-compliant platform that securely integrates and standardizes complex datasets from cell culture and bioreactor runs.
Our software accelerates development of Monoclonal Antibodies, Gene Therapies, and other advanced biologics by automatically identifying optimal process conditions and providing easy to use statistical analysis and visualization tools. This allows scientists to cut down on experimental cycles, improve reproducibility, and move therapies from lab to clinic faster.
Pain Points
Compliance burden
Tracking data lineage for regulatory submissions
Reproducibility issues
Test nutrient formulations with AI simulation
Long development cycles
Years from discovery to IND filing Use Cases
Use Cases
CHO cell line development
Optimize clone selection and feed strategies
Process characterization
Identify critical process parameters
Tech transfer
Standardize handoffs between sites
Contract Manufacturing
BioReact gives CMOs a unified, secure platform to streamline data sharing with clients, integrate upstream and downstream workflows, and accelerate bioprocess development with AI-driven insights.
Our AI-driven algorithms suggest optimal growth conditions, helping process development professionals quickly identify ways to improve yields such as biomass, viability, and titer. This reduces the number of trial-and-error experiments needed, shortening timelines from early development to pilot scale.
Key Features
Role-Based Access (RBA)
Allows for secure sharing of data between clients
Seamless tech transfer modules
Real-time visualization
Available for clients and CMO's
Use Cases
Email chaos
Sharing data via email attachments and FTP
Client visibility
Clients asking for constant updates
Version control
Which file is the latest?