Solutions by role and sector

One model, configured for the decision your team owns.

Teams and sectors

Use the same process basis for different technical decisions.

Process development, MSAT, facility engineering, manufacturing, TEA and LCA see the model through the outputs and evidence they own.

Engineering and process-design teams

For conceptual design, CAPEX/OPEX, facility fit, utilities, scheduling, debottlenecking, and client scenario review across many projects.

Open detail

Biopharma, CDMO, and MSAT

For mAbs, vaccines, cell and gene therapy, viral vectors, biologics, tech transfer, COGS, capacity planning, and site-standardized models.

Open detail

Food, fermentation, and alternative proteins

For cultivated meat, precision fermentation, enzymes, ingredients, food processing, media cost, downstream recovery, utilities, and sustainability.

Open detail

Scientific reference layer

Attach papers, supplier data, standards, assumptions, and SOP notes directly to units, streams, parameters, and scale-up decisions.

Open detail

Integration layer

Model CSV uploads, historian data, OPC UA, SCADA, sensor streams, batch records, and source-backed parameter updates.

Open detail

Review layer

Use structured recommendations to see what still has to be added before a full production simulation is defensible.

Open detail

Data and evidence

Bring plant systems, supplier facts and model review together.

External data enters through a governed mapping and review step before it changes an active process parameter.
Integration example

SCADA / historian handoff

Map DO, pH, temperature, airflow, agitation, pressure, feed mass and conductivity tags to live digital-twin variables and compare them with the model envelope.

See connector path
Partner example

Supplier quote review

Attach bioreactor, filter, resin, membrane, CIP skid and clean-utility assumptions to CAPEX/OPEX rows so TEA reviewers can replace screening factors with quoted values.

See source layer
Model example

Equation-oriented high-fidelity modelling

Diagnose model structure, fit experiments, quantify uncertainty, optimize constrained decisions, reconcile live states, and solve distributed transport from one connected workbench.

See readiness path