CDMO process development software

Evaluate customer processes, facility fit and delivery risk without rebuilding the decision in spreadsheets.

Structure technical intake, create private customer variants, size equipment, schedule campaigns, quantify materials and utilities, estimate cost intervals and preserve the assumptions behind every proposal and transfer.
Large industrial CDMO bioprocess manufacturing hall with stainless steel vessels and process skids
Customer route, reusable assets, rooms, utilities and campaign demand must be evaluated as one finite-capacity system.
Customer intakeProcess reconstructionEquipment fitCampaign scheduleCost rangeRisk review
Proposal

Faster technical intake

Use one governed request for components, recipe, yields, batch timing, equipment requirements, quality holds, materials, assays and uncertainty instead of repeated email exchanges.

Engineering

Facility-fit scenarios

Compare vessel and skid capacity, chromatography cycles, buffer and hold vessels, transfers, rooms, utilities, labor, CIP/SIP, maintenance and parallel capacity.

Commercial

Traceable cost range

Connect materials, consumables, labor, utilities, occupancy, yield, utilization, waste, changeover and risk allowances to a transparent low/base/high scenario.

Reusable delivery system

Separate the private customer model from reusable engineering knowledge.

Templates should accelerate intake and calculation without leaking one customer's data into another project. Every inherited assumption needs a clear source, owner, permitted use and review status.

Private project variants

Create a baseline, proposal alternatives and transfer-ready branch with controlled collaborators and immutable versions. Compare equipment, streams, parameters, schedule, costs and outputs before merging a change. Record who changed the model, why, what recalculated and which evidence became stale.

Finite-capacity commitments

Schedule multiple customers and batches across reactors, clarification, chromatography, UF/DF, filling, rooms, labor, utilities, QC, storage, cleaning, maintenance and changeover. Report occupancy, queues, lateness, campaign gaps, utilization and the bottleneck that constrains the promised delivery date.

Proposal-to-transfer continuity

Carry the accepted process basis, cost assumptions, exclusions, data gaps and risks into process development and MSAT. Replace screening values with authorized experimental or site data through review rather than overwriting their provenance. Export a complete engineering record for customer review.

Technical intakeCustomer process basis · equipment and room requirements · material and utility demand · data-gap register · source ownership
Facility-fit resultFeasible train · occupancy calendar · bottleneck · hold-time compliance · campaign alternatives · delivery interval
Commercial packageLow/base/high COGS · sensitivity drivers · assumptions and exclusions · approval state · revision and export manifest