Modular Design

The Daisy platform is built upon small, simple, and interchangeable modules which enable easy customization and flexible scalability.

Modular Design

The Philosophy of Modularity

Modularity is the foundational design principle of the Daisy platform. Rather than engineering a single complex instrument that attempts to serve every possible application, we created a system of small, focused modules that each perform one function exceptionally well. A pump module pumps. A valve module routes fluids. A sensor module measures. This simplicity at the component level translates into extraordinary flexibility at the system level, because researchers can combine modules in virtually unlimited configurations to match their specific experimental requirements. The result is a platform that adapts to the science, rather than forcing the science to adapt to the instrument.

Mix, Match, and Reconfigure

Every Daisy module connects to every other module through a standardized mechanical and electrical interface. This means a new module can be added to an existing setup in minutes, without tools, custom adapters, or software reconfiguration. Need to add a second pump channel for a co-flow experiment? Snap in another pump module and the system recognizes it automatically. Want to switch from pressure-driven flow to syringe-driven flow? Swap one module for another. This plug-and-play architecture eliminates the downtime and expense associated with reconfiguring traditional fixed-function instruments, keeping your research moving at the pace of your ideas.

Scalability from Bench to Production

The modular architecture also provides a natural scaling path from proof-of-concept experiments to production workflows. A researcher can develop and validate a protocol using a minimal two- or three-module setup, then scale up by adding parallel channels, inline sensors, and fraction collectors without modifying the core workflow. This scalability is particularly valuable for translational research and process development, where methods must eventually operate at higher throughput without sacrificing the precision established during early development. With Daisy, scaling up is an additive process rather than a disruptive redesign.