Process Engineering & Scale-Up Support

Process engineering and scale-up turn a lab or pilot process into something a commercial plant can run repeatedly under GMP. Scale changes heat and mass transfer, mixing, hold times, filtration loads, and cleaning demands. Engineering work at this stage decides whether process validation starts from a stable recipe or from a list of unexplained batch failures. The earlier those scale-dependent risks are named, the less you pay in failed lots and rushed protocol amendments.

Viltis process engineers work with MSAT, manufacturing, and validation to map critical process parameters, equipment constraints, and scale-dependent risks. We support equipment selection and fit analysis, process characterization inputs for control strategies, and scale-up protocols that document what must stay constant versus what can flex. The same discipline applies when moving between single-use and stainless trains, adding capacity on an existing line, or transferring a process whose development history never fully documented mixing or hold-time limits.

Scale-up documentation should travel with the process. We help capture what changed from lab to pilot to commercial, including failed approaches, so the next site or campaign does not repeat avoidable mistakes. That history also supports process validation rationale and later change assessments when someone proposes a 'minor' equipment swap that is not minor at scale.

Scale-up support commonly includes

• Scale-up and tech transfer risk assessments
• Equipment capability and bottleneck analysis
• CPP and process control strategy input
• Mixing, heat transfer, and hold-time studies
• Cleaning and cross-contamination considerations
• Support for PPQ and process validation lots
• Deviation trending during scale-up campaigns

Successful scale-up is quiet: predictable runs, clear parameter windows, and operators who trust the process description. Viltis helps teams get there with engineering judgment grounded in the actual equipment and facility, not generic scale factors alone. When deviations appear during scale-up, we help separate true process signals from equipment and utility noise so the control strategy improves instead of expanding into unfocused testing. If PPQ is approaching and scale risks are still fuzzy, we help lock the parameter windows and equipment constraints that validation will actually test.