Public reference models · no account required

Process models you can inspect, reproduce and challenge.

Explore a 2,000 L mAb upstream screening model from media preparation through harvest, then download its inputs, results and checks. A 100 m³ fermentation model is also available. Public models demonstrate software execution and traceability, not customer calibration or GMP validation.
Catalog version
2.0.0
Solver
RK4 · 3,360 steps
Reported time points
169
Balance residual
2.67 × 10−7%
Acceptance
7 / 7 passed
Model state
Screening · 2 models

00 · Workspace screenshots

Preview the workspace and download model data.

These screenshots illustrate the flowsheet, plant overview and TEA/LCA workspace. The reference files below define the separately calculated numerical benchmark. Explore its trajectory in the chart or download inputs, results and checks. Sign in to edit a model copy.
Acatian application screenshot illustrating the flowsheet editor; reference inputs and results are provided separately
Flowsheet screenshotShows equipment, material and utility streams, process sections, open ports and the next engineering task. Object parameters are available in the editable workspace.
Case
AC-REF-MAB-FB-001
Process
CHO mAb · fed-batch
Model basis
2,000 L · 336 h
Evidence state
Screening

What you can do here: view three screenshots, explore the result chart and download model inputs, results and checks. Sign-in is required to create and save an editable workspace copy.

01 · Process families

Download mAb and fermentation screening models.

Every package contains declared inputs and intervals, complete trajectories, balance checks, sensitivities, comparison data, streams, finite-capacity scheduling and checksummed artifacts.
AC-REF-FERM-FB-001 · SCREENING

Industrial fermentation

100 m³ microbial fed-batch with explicit biomass, substrate, product, oxygen, feed and working-volume balances.

Mode
Fed-batch
Trajectory
169 points
Checks
7 / 7
AC-REF-MAB-FB-001 · SCREENING

mAb biopharma

2,000 L CHO fed-batch with dynamic cell, substrate, product, dissolved-oxygen, lactate and ammonium states.

Mode
Fed-batch
Trajectory
169 points
Checks
7 / 7
Final titer0.981 g/Lreactor inventory
Batch product1.726 kgbefore DSP recovery
Peak VCD12.3310⁶ cells/mL
Max ammonia1.858 mM2.0 mM boundary
Max lactate1.976 g/L2.0 g/L boundary

02 · Model scope

One connected upstream benchmark.

Defined boundary: raw media through reactor harvest. Downstream operations are represented as open handoff boundaries and are not used to claim final drug-product yield.
INBasal medium
INConcentrated feed
INGas transfer via kLa
OUTHarvest broth
OPENOff-gas composition

03 · Executable result

Inspect the complete 336-hour trajectory.

Source: generated by scripts/generate-reference-case.mjs using the versioned Acatian ODE solver.Download all 169 rows

04 · Acceptance

Passes are machine-readable; gaps remain visible.

Each criterion has a threshold, an observed value and a review status.

05 · Reproducibility package

Download inputs, trajectories, checks and sensitivities.

Every generated artifact is listed with a SHA-256 checksum in the manifest.
What this proves

Executable, traceable software behavior.

  • The same inputs regenerate the published trajectory.
  • The numerical component balance meets its stated tolerance.
  • Physical screening boundaries are evaluated explicitly.
  • Parameter variation produces inspectable sensitivity outputs.
  • Artifacts can be independently checked against the manifest.
What remains to be proven

Industrial predictive validity.

  • Calibration against customer-owned bioreactor and assay data.
  • Independent comparison with an approved reference model.
  • Validated downstream recovery and product-quality models.
  • Site-specific equipment, schedule, utilities, TEA and LCA evidence.
  • Qualified review for GMP, safety and investment decisions.
Next evidence step

Reconcile one customer-owned process against agreed tolerances.

Compare your process data with model predictions in a pilot. Record deviations against agreed acceptance tolerances and identify the calibration data still required.

Define a validation pilot