Our R&D program spans process simulation, component-level experimentation, and platform integration — advancing from model to metal.
Every design decision at Intensora is preceded by rigorous computational modelling. We use CFD, mathematical process simulation, and published kinetic data to predict system behaviour before fabricating a single component — compressing development timelines and reducing experimental waste.
Experimental validation then confirms or refines model predictions at the component level, ensuring our platform advances on a foundation of verified science rather than trial-and-error empiricism.
CFD simulation, DynoChem Professional kinetic modelling, mathematical process simulation, and custom modelling frameworks for intensified reactor design.
Component-level validation of heat transfer, mixing, and reaction kinetics. Bench-scale experiments cross-referenced against simulation outputs for model refinement.
Full RIPM platform architecture designed. Proprietary system-level modelling complete. Component experimental validation done for core unit operations.
Engineering, fabrication, and integration of the 1 kg/hr integrated skid prototype. Instrumentation, controls, and safety systems being specified and procured.
Scale to 10 kg/day pilot. First real-process trials on pharma API intermediates. Data-driven optimisation and toll synthesis proof-of-concept.
Designing tightly coupled reaction-heat-exchange systems that push selectivity and energy efficiency beyond what batch operations permit.
Adapting hazardous and selectivity-sensitive batch reactions — including nitrations, hydrogenations, and oxidations — to safe, continuous-flow operation.
Inherently safer process architectures. Smaller inventories, faster quench, real-time monitoring — eliminating risk rather than managing it.
We work with manufacturers, researchers, and industrial partners on process development, optimization, and intensified systems.