How cross-industry thinking solves the prototyping paradox

This is the prototyping paradox: a symptom of tightening research and development (R&D) budgets and a reduced appetite for risk in new product launches. This paradox results in a phase that demands the rigour of production without the resources to support it.

Under increasing pressure to launch products faster, most firms fall back on familiar but limiting industry tools, or pursue bespoke, expensive niche solutions. Both approaches ultimately constrain scalability, restrict experimentation, and drive costly innovation practices. In today’s landscape of squeezed margins and financial instability, R&D leaders are increasingly expected to demonstrate the value of their ideas at scale long before they have the data to prove it.

With a long history of bringing new ideas to life across industries as diverse as MedTech, defence, and consumer goods, we’ve found the most effective teams navigate the prototyping paradox not by investing, but by borrowing. We call this applied translation: the art of harnessing proven approaches from one sector to solve seemingly impossible problems in another, so the best innovations can do more, for more people.

Prioritise validation over efficiency

MedTech assembly teaches us that if a process isn’t perfectly repeatable, the resulting data is worthless. While few sectors face regulatory constraints of that degree, adopting this rigorous mindset is key to successful mid-volume prototyping.

It is easy to get distracted by cost-per-unit, equipment efficiency, or material waste early in the cycle. But in mid-volume production, reliable data is the only true marker of success. We often ask our clients a simple question: is disposing of 90 percent of material justified if it guarantees 100 percent repeatable data? While overlooking scrap feels counter-intuitive to sustainability, the carbon and capital waste of a failed launch or a decommissioned, single-use line is far more detrimental.

To shift the mindset, we capture and validate the data first; optimise the waste second. We applied this approach to a project involving a tiny, flimsy component for a consumer trial. Instead of spending nine months perfecting a complex zero-waste automated feed system, we translated a proven medical substrate technique. By using a large, stable material base and trimming it to size only after the core assembly was complete, we secured the data in weeks, not months.

Solve the physics, not the process

At the heart of any manufacturing innovation, is one core transformative step. If successfully identified and optimised, it can bring the whole innovation together. Whatever assembly step in the build process it is, from the deposit, the seal, or the fold, we advise clients to narrow their focus on this crucial step. First, isolate it; then, figure out how to automate it.

One of our clients, a global breakfast cereal manufacturer, had a new product idea that required high-speed, precise marshmallow deposits. After a failed trial of handmade samples, and facing a £1 million quote for custom equipment, they turned to us for help.

Rather than over-engineering a bespoke and expensive temporary tool, we looked at tools already in our arsenal to find a proven mechanical blueprint. We translated an industrial hot melt glue gun, a tool established for a completely different purpose, by modifying the nozzle and drive electronics. The result: a marshmallow cannon that allowed the client to fire out hundreds of precise prototypes quickly.

Design for reuse, not redundancy

In the mid-volume zone, your capital should always outlive your prototype. Typically, R&D leaders under intense pressure focus only on the task at hand. This often results in a graveyard of jigs, discarded as soon as a project ends or requirements change.

However, there is a more resilient way to approach this challenge. In the diagnostic sector, hardware must be multi-modal by design to keep pace with hundreds of different tests. We translate this logic to other sectors. By using agile tools such as syringe pumps, Cartesian robots, or cobots, we create a library of universal building blocks that can be quickly reconfigured to suit the task at hand.

For example, we frequently use high-precision medtech syringe pumps, originally designed for dispensing drugs to patients, to dose everything from viscous chocolate to liquid shampoo. Because the tool is modular and multi-modal, it doesn’t become scrap metal when the trial ends; it can be re-translated for the next project, amortising the investment.

Build cadence before scale

In mid-volume prototyping, synchronisation is a huge stumbling block. While a human provides the dexterity needed for complex assembly, they struggle to maintain the rigid, repetitive rhythm required to scale to hundreds or thousands of units.

To solve this for clients in the past, we’ve looked to the high-speed cadence of industrial bottling plants for inspiration. One principle emerges time and again: platforming. By using tools like rotary tables or racetracks, we can quickly create a platform where the machine handles the rhythm and the human provides the precision.

We first applied this to 3D-printed chocolate to solve the physical bottleneck of cooling time, where traditionally, a printer sits idle while a layer sets. By using the rotary table in this new environment, we allowed one machine to print on multiple pieces in a single revolution, moving to the next unit while the previous one cooled.

Whether 3D printing or mixing complex liquids, the goal is a balanced line where the machine and the human are never waiting on one another.

The application of translation

The way out of the prototyping paradox isn’t to build more, it’s to see differently. To break the paradox, you must recognise what others don’t: the medical syringe pump in a chocolate depositor, or an industrial coating technique in a consumer package.

Now more than ever, R&D leaders must look beyond their own domains and ask whether the answer already exists elsewhere. When proven approaches are translated and applied with intent, innovation doesn’t stall in development, it reaches the people it was meant to serve, at scale.