Bioprocess digital twin software

Keep the plant, the model, and the evidence synchronized.

Acatian links the process graph, dynamic states, equipment and schedule states, measured production data, assumptions, uncertainty, model versions, and review evidence around one defined engineering decision.
Acatian bioprocess digital twin overview connecting plant equipment, model states and evidence
A governed twin shows what is measured, inferred, assumed, calibrated, and still missing.
Process graphDynamic statesPlant dataAsset statesDecision evidence
01 · Context

Decision and envelope

Define the question, process range, users, outputs, tolerance, update frequency, and excluded uses before connecting data.

02 · Model

Mechanistic state

Connect components, reactions, ODE/PDE states, equipment constraints, schedules, costs, impacts, and uncertainty.

03 · Data

Measured plant state

Map historian tags, batches, assays, recipes, alarms, maintenance, quality records, units, timestamps, and ownership.

04 · Governance

Fit for decision

Track residuals, drift, calibration range, versions, approvals, missing evidence, and the response to model-plant divergence.

Twin levelWhat Acatian representsWhat must be proven
Design twinFlowsheet, balances, equipment, schedule, TEA/LCA and scenariosAuthorized design basis, reconciliation and sensitivity coverage
Calibrated twinParameters fitted to identified batches and operating conditionsResiduals, independent validation data and validity domain
Operational twinTime-aligned plant state, prediction, monitoring and alertsSecure connectivity, data quality, drift handling and qualified response
Closed-loop controlNot a public Acatian software claimSite-approved DCS/PLC integration, interlocks, validation and operational ownership
NREL biochemical conversion pilot plant with connected stainless-steel process vessels and utilities
Plant contextAssets, utilities, cleaning, rooms, schedules, material flows, and control boundaries remain visible.
Acatian editable flowsheet linked to digital twin data and model history
Model contextEvery observation and recommendation resolves to equipment, streams, parameters, sources, and a versioned model change.