BioFlo
Engineering intelligence for bioprocess systems — transforming reactor data into predictive, model-driven control.
Our Perspective
Bioreactors operate at the intersection of hydrodynamics, mass transfer, and microbial kinetics. Conventional systems treat these domains independently, leading to inefficiencies and instability.
BioFlo approaches the process as a coupled system where residence time (τ), dilution rate (D), oxygen transfer (kLa), and growth kinetics (μ) are evaluated together.
What BioFlo Does
Real-Time Computation
Continuous estimation of τ, D, and kLa from live process data streams.
System Coupling
Integrates biomass, substrate, and oxygen dynamics into a single unified model.
Predictive Alerts
Proactively detects instability, washout, and oxygen limitation conditions.
Engineering Foundation
Mass balances • Monod kinetics • OTR vs OUR • RTD analysis
These models are embedded directly into the system architecture, enabling real-time interpretation of complex process behavior rather than just displaying raw sensor outputs.
From Monitoring to Control
Conventional Systems
Display raw sensor data in isolation with limited interpretability or foresight.
BioFlo
Translates data into predictive insights, guiding precise process adjustments.
Applications
Design Philosophy
Transparency
Explicit, interpretable models. No “black box” algorithms.
Modularity
Adaptable across different reactor types and configurations.
Scalability
Built to scale seamlessly from the lab bench to industrial production.
Looking Forward
Bioprocess systems are becoming increasingly complex. Predictive, model-driven operation will replace traditional empirical control strategies. BioFlo is designed to enable and accelerate that transition.