Scale-up without
the titer crash.
Fermvyne models your strain's metabolic flux at every vessel size — so you know the DO profile and feed rate before you commit the 10,000L run.
scale-up failure rate in precision fermentation
cost per failed vessel run in media, time & labor
of titer failures are predictable from bench-scale physics
Metabolic flux modeling, built for scale-up.
Upload your strain data and bioreactor specs. Fermvyne runs constraint-based flux simulations across every scale point and returns the DO profile and feed schedule that keeps titer above target.
Constraint-based metabolic models from your strain's observed phenotype. Identifies metabolic bottlenecks before they appear in the vessel.
kLa estimation across vessel sizes. Predicts dissolved oxygen depletion risk at each scale point with ~88% agreement to observed.
Exponential, linear, and DO-stat feeding strategies modeled per vessel. Prevents acetate accumulation and substrate overflow automatically.
From batch log to optimized protocol in hours.
Upload Strain Data
CSV batch logs or API connect. Accepts OD600, DO%, pH, glucose consumption, CO₂ evolution, and metabolite titers.
Flux Simulation
Fermvyne constructs a constraint-based metabolic model and simulates DO depletion, substrate overflow, and volumetric productivity at each target scale.
Protocol Output
Downloadable PDF + JSON protocol: feed schedule, agitation ramp, DO setpoint cascade. One protocol per target vessel size.
Built for every scale-up stage.
Whether you're moving from shake flask to pilot, or validating your 500L process at commercial scale, Fermvyne has a simulation workflow for it.
Bench to Pilot
Predict kLa mismatch and glucose overflow before your first 500L run. Model DO depletion at inoculation density.
ExplorePilot to Commercial
Address mixing time heterogeneity and impeller geometry effects. Zone-specific feed rate schedules for large vessel runs.
ExploreStrain Optimization
Predict titer improvement from genetic perturbations. Phenotype-to-model update cycles for E. coli, P. pastoris, and T. reesei chassis.
ExploreEngineers who run the vessels.
After running the 500L → 2,000L simulation in Fermvyne, our DO prediction was within 8% of observed — we went into the run confident. That kind of pre-run clarity used to take weeks of modeling by hand.
We were burning vessel time diagnosing acetate accumulation at 1,000L. Fermvyne's flux model showed the overflow metabolism pathway clearly and suggested a glucose feed adjustment that brought titer back above 38 g/L.
Ready to model your next scale-up?
Request early access. We review every application and get back within 2 business days.