Innomech excels at designing, developing and producing innovative special purpose automation machines for the manufacturing industry. From prototypes, to bespoke automated equipment aimed at improving productivity, profitability and compliance.

Cambridge UK based, with over 20 years’ experience in producing bespoke automated machines including, control systems, end of line testing workstations, dispensing and assembly machines to a range of industries including, medical device industry.

Innomech offers a committed team with experience in specialist technologies including, robot handling, PLC control, pick & place and vision systems, with skills in mechatronics, production automation and specialised automation control systems engineering, innovative bespoke design, and validation.

The medical division is headed by Dr Peter Woods – an acknowledged expert in automation in the pharmaceutical industry, with his vast experience in developing automated manufacturing systems for the assembly and test of medical devices.

Peter leads a multi-disciplinary team to design and build automation equipment for developers and manufacturers of products such as drug delivery pens, contact lenses, diagnostic kits and surgical instrumentation.

Innomech offers everything from feasibility studies through to large-scale system builds. Every system is developed in parallel with a detailed validation document package, including Installation and Operational Qualification (IQ/OQ), CFR21 part11 conformity, Gauge R&R and other relevant studies to enable fast and low cost regulatory compliance.

The company’s track record includes developing machinery for most of the world’s top pharmaceutical companies, as well as many early-stage technology businesses looking to bring first products to market.

Most medical devices are assembled and tested using automated equipment, but it’s not unusual to need to specify and build the assembly equipment while the design of the device itself is still evolving. The problem for system developers is providing the necessary flexibility within the automation to accommodate these adaptations, while at the same time delivering the required control of process when the final medical device moves into production.

This dilemma is particularly relevant for medical device manufacturing because the possible impact on human health of a faulty assembly means that almost every step in assembly and testing must be shown to be operating correctly within a well-defined range of process parameters as part of a rigorous process of validation.