Process intelligence for specialty CDMOs — golden batch modeling, early deviation alerts, and automated batch records that fit into the ELN workflows your engineers already use.
Typical yield deviation rate in scale-up campaigns at specialty CDMOs
Estimated cost per failed batch in lost material and re-run labor
Average campaign delay per batch restart event at CDMOs
Advance warning before a batch failure becomes irreversible
Fermentile connects to your existing DeltaV or Siemens SIMATIC control systems via OPC-UA and runs process analytics on the sensor data you are already collecting. No new hardware, no parallel data infrastructure.
Establishes the process signature of a successful run and flags deviations as they develop
Sends structured corrective-action recommendations 2-4 hours before a batch failure is irreversible
Predicts parameter adjustments needed when transferring a process from 2L development to manufacturing scale
Generates structured batch records from live process data, reducing manual transcription time by an estimated 70%
Maintains separate golden batch models per product-organism-scale combination across all active CDMO programs
Forecasts final batch yield 24-48 hours before harvest based on mid-run metabolite and growth data
Fermentile is designed for CDMOs that cannot afford a six-month IT project before the platform starts producing value. Most teams reach live monitoring within two weeks of kickoff.
Fermentile connects to your existing bioprocess control system via OPC-UA or a CSV export from your DeltaV or Siemens SIMATIC historian. No new hardware is required. Your sensor streams — dissolved oxygen, pH, temperature, agitation, gas flow — begin flowing into the platform from the day of integration.
Using your historical run records, Fermentile builds a statistical golden batch model for each product-organism-bioreactor combination in your portfolio. The model captures the multivariate trajectory of a successful run and its allowed variance envelopes at each fermentation phase. You review and approve the model before it goes live on any active program.
Once a campaign starts, Fermentile compares the live sensor stream against the golden trajectory and updates a probabilistic deviation score every five minutes. Engineers see a dashboard panel in their Benchling or SciNote ELN showing current deviation severity and the specific sensor channels driving the score — without switching to a separate monitoring application.
When the deviation score crosses a program-specific threshold, Fermentile delivers a structured alert to the process engineer's ELN specifying the deviation category, the confidence level based on historical pattern frequency, and a ranked list of corrective actions drawn from batch records where the same deviation was resolved. The engineer has a 15-minute response window before the alert escalates to a supervisor channel.
“The deviation signature was in the data two hours before the batch was lost. We just had no way to see it in real time. That is the problem Fermentile is solving — and it is the right problem to solve first.”
“Scale-up transfer is where we lose the most time and money. Having a run sheet built from our own historical data — not generic engineering correlations — is exactly what we needed before the first manufacturing run.”
“Spending four to eight hours building a batch record by hand after every run is not a compliance edge case — it is the standard. Cutting that to under an hour changes how the team operates week to week.”