From batch log to optimized protocol in hours.
Upload your fermentation batch data. Fermvyne runs constraint-based flux balance simulations across your target scale points. You get a ready-to-use protocol for each vessel size — before you commit vessel time.
Upload your strain & fermentation data.
Import a CSV from your batch historian or connect via API. Fermvyne accepts the standard bioprocess measurement set: OD600, dissolved oxygen (%), pH, glucose concentration, CO₂ evolution rate, and measured metabolite titers.
The system automatically maps column headers using common naming conventions from DeltaV, Siemens PCS 7, and standard CSV exports from bioreactor software (Sartorius MFCS, Eppendorf BioCommand). You can review and correct the mapping before running.
Flux balance simulation across scale points.
Fermvyne constructs a constraint-based metabolic model from your strain's observed phenotype — the exchange fluxes (uptake and secretion rates) inferred from your batch data. This becomes the stoichiometric foundation of the simulation.
The model is then solved under the mass-balance constraints of each target vessel: different kLa values, mixing times, and substrate gradient profiles. Outputs include a metabolic bottleneck map showing which pathways are flux-limited at each scale, a DO depletion risk score (0–100), and a predicted fed-batch titer curve.
Protocol output, ready for the process binder.
Fermvyne generates a protocol card for each target vessel size in your simulation job. Each protocol contains: the feed schedule (feed rate vs time or vs DO setpoint), agitation ramp (rpm vs time), and DO setpoint cascade for cascade control loops.
Export as PDF for your process binder or as JSON for programmatic loading into your DCS/SCADA historian. The Team and Enterprise API allows automated protocol retrieval to feed directly into batch record systems.
Internal accuracy benchmarks.
We report internal validation numbers honestly. These reflect agreement between Fermvyne's predictions and observed outcomes in our internal test dataset — not a certified third-party audit.
Internal validation across 47 fed-batch runs in our development dataset (2L–500L, E. coli and P. pastoris). Results vary by organism, media complexity, and data quality of the input batch log. External validation with customer data is ongoing.
Run a simulation on your strain data.
Request early access and we'll set up your first simulation — using your actual batch log, run against your target vessel size.