Feed profiles
Compare bolus, fed-batch, and perfusion strategies against viability, lactate, and target titer.
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Bioreactor and facility simulationA digital twin that plans the batch before it runs.
Bioseon simulates culture, feed, and purification across the seed train, production bioreactor, and skids so teams can hit target titer and CQA specification before the batch.
Twin vs live, BR-04delta 0.3 g/L
PredictedLiveTarget spec
What the twin models.
The Bioseon twin represents cell growth, nutrient consumption, product formation, impurity burden, purification yield, and facility constraints. It stays tied to the cell line, recipe, equipment, and CQA target.
- Seed train and production bioreactor state.
- Feed, gas, perfusion, and harvest readiness.
- Skid operations, pooling, UF/DF, and viral steps.
7
Agents share one model
The seven agents coordinate around the same digital picture, reducing handoff gaps between upstream, downstream, and review.
Search the plan before committing plant time.
Gas strategies
Balance DO, CO2 stripping, agitation, and shear sensitivity across the live process window.
Chromatography programs
Evaluate load, wash, elution, and pooling choices against yield and CQA risk.
Live vs predictedwithin spec
predicted trajectorylive sensed statetarget spec
TiterCQA risk
Live state updates the predicted batch.
As soft sensors estimate titer, VCD, metabolites, glycosylation, charge variants, and contamination, the twin refreshes the forecast. Operators see where the batch is headed, not only where it has been.
The search space: feed, gas, and chromatography.
Bioseon searches choices that operators usually test slowly across campaigns.
Feed
Media composition, bolus timing, perfusion rate, glucose control, and glutamine support.
Gas
DO targets, air and oxygen blend, CO2 removal, agitation, sparging, and foam constraints.
Purification
Column load, wash, elution, pooling, buffer use, and impurity clearance against CQA specifications.
Tech transfer and scale-up become model-driven.
- 01
Map the donor process
Capture cell line, recipe, equipment, analytics, and CPP to CQA relationships.
- 02
Fit the receiving site
Translate the plan to vessel geometry, skid limits, single-use assemblies, and site procedures.
- 03
Simulate at scale
Project mass transfer, feed demand, harvest window, and purification capacity before execution.
- 04
Run with guardrails
Agents execute inside approved envelopes while the twin compares live state to the plan.
Outcomes from a living process model.
PRE-BATCHfewer
Reduce avoidable design-of-experiment cycles and failed recipes.
TITERhigher
Optimize feed and gas choices before culture productivity is lost.
CQAon-spec
Hold quality attributes inside the process design space.
TRANSFERfaster
Move from lab to manufacturing with less guesswork.
Golden-batch spreadsheet vs Bioseon twin.
| Need | Spreadsheet | Bioseon twin |
|---|---|---|
| Live updates | Manual and delayed | Continuous from process and soft-sensor signals |
| Scenario search | Limited and static | Feed, gas, skid, and schedule options compared quickly |
| Scale-up | Depends on local expertise | Equipment and process constraints represented explicitly |
| Audit trail | Hard to reconstruct | Predictions, recommendations, and actions logged |
The twin plans, agents execute.
The Bioseon platform uses seven agents to act on the plan: media-and-seed, culture-and-feed, titer-and-CQA, harvest-and-purify, robot-and-handling, contamination-and-deviation, and record-and-review.
Human review stays available
Bioseon can run in shadow mode, recommend setpoints, or close the loop inside validated control envelopes.
Deploy by line, site, or enterprise program.
Line starts at $13,000/skid/mo, Site at $85,000/mo, and Enterprise is custom for multi-site validation and SLAs.
Digital twin FAQ.
Does the twin need historical batches?
Historical batches help calibrate faster, but Bioseon can start with recipe, equipment, PAT, and assay context, then improve as live batches run.
Can it support perfusion and single-use operations?
Yes. The twin represents single-use assemblies, perfusion flows, seed train state, production vessels, and skid constraints.
How is it used under GMP?
Predictions and agent actions are logged, reviewable, and constrained by validated envelopes aligned to GMP and 21 CFR Part 11.
Model the batch before it consumes the suite.
Request access and scope a twin against your cell line, process, and facility constraints.