How to choose a medical device automation partner

Author:
Katie Windley
Marketing Manager

To choose a medical device automation partner, look for one team that can carry your program from proof of concept to a single machine or cell, then to a full assembly line, without handing it off. The right partner proves the process early, models the line in a digital twin before steel is cut, designs traceability in from day one, and connects equipment to your MES, SCADA, and quality systems. It should also co-develop automation while your product design is still moving, so manufacturing is ready when the device is. Judge each candidate on that end-to-end capability, its medtech track record, and how clearly it reduces technical and capital risk at every stage.

Why does partner selection matter so much in medtech?

Medtech programs run on tight launch windows with little room for rework. McKinsey reports that device approvals hit a nine-year low in 2022, falling 20% from 2019 as products grow more complex. Every month spent on a line that will not validate is a month of delayed revenue.

Investment is climbing at the same time. Deloitte’s 2025 Smart Manufacturing Survey found 78% of manufacturers direct more than 20% of their improvement budgets to smart manufacturing, yet 65% rank operational risk as a top-two concern. The partner you choose decides how much of that risk stays with you.

Key takeaways

What does a step-by-step medical device automation roadmap look like?

Step 1: How do you prove the process before committing capital?

Start with a proof of concept on the riskiest operations, such as precision dispensing, laser welding, or machine vision inspection of small features. A strong partner tests these with real parts, records capability data, and builds an ROI model before you approve the full budget. This is where vision systems, industrial robotics, and process tolerances are confirmed with data.

Step 2: How should you sequence from machine to cell to full line?

Scale in stages. A single machine or semi-automated cell supports clinical builds and early volumes. A modular cell design lets you add stations as demand grows, and the full assembly line follows once the design is frozen and volume forecasts are firm. Ask every partner for a volume ramp-up plan that shows which modules carry forward, so early investment keeps paying back.

Factory digital twins strengthen this step. McKinsey notes they can validate layout and footprint during a greenfield build and expose bottlenecks before equipment arrives.

Step 3: How do you align engineering, operations, and IT?

Automation succeeds when the people who design it, run it, and connect it agree on requirements early. Engineering owns process capability and validation. Operations owns OEE targets, changeovers, and maintenance. IT and operational technology teams own PLC standards, MES and SCADA integration, data models, and cybersecurity. Deloitte found that 51% of smart manufacturing programs are led by operations and 38% by technology leaders, so a shared requirements document and joint design reviews are essential. Your partner should schedule and run those reviews.

How does co-creation de-risk automation during product development?

Many programs wait for a frozen design before starting automation, which adds months. Co-creation runs both tracks in parallel. Automation engineers join design-for-manufacturing reviews, flag features that are hard to assemble or inspect, and test concepts in simulation while prototypes evolve. Digital twins and virtual commissioning let teams debug PLC logic and robot paths before hardware exists, so the physical build starts closer to finished. McKinsey’s work on digital twins in medtech R&D links early investment to faster time to market and lower cost.

Which risk controls should you expect from a partner?

Look for documented FAT and SAT protocols that feed IQ, OQ, and PQ; traceability from component to finished device; Industrial IoT data and predictive maintenance built into the line; and in-house build capacity so fewer vendors touch the project.

What should you ask a medical device automation partner before you sign?

• Which medtech systems have you taken from proof of concept to full production?
• Will one team own design, build, integration, and validation?
• How will you use simulation and digital twins to reduce risk before build?
• How will the line connect to our MES, quality systems, and plant network?
• What lifecycle support follows installation?

Demand for factory automation keeps rising. The IFR reports 542,000 industrial robots were installed in 2024, and it expects annual installations to pass 700,000 by 2028. Medtech manufacturers that choose a partner built for the full factory automation lifecycle will be ready to scale when their next device clears approval.

Explore the possibilities

Planning your medical device automation roadmap from proof of concept to full production? Book a discovery call to learn how Eclipse Automation supports medical device automation partnerships, from early co-development and digital twin simulation to full assembly line deployment.