MedTech

Personalized Solutions for MedTech Development

From product design to approval, we turn one bottleneck into a working PoC and an implementation-ready plan in four weeks, built for user needs, feasibility and regulatory reality.

choose your phase

Design

Design better medical technologies with personalized product and process solutions.

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Development & Approval

Move from device development to approval with structured, compliant and scalable solutions.

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one offering, three implementation fields

Organizational Implementation

Change that the organization actually adopts, not a reorg on paper.

Digitalization, AI & Software

Tailored software, AI workflows and automation, fit to your situation, not off the shelf.

Evaluation, Hardware & Optimization

What to optimize, what to buy, what to build, and which partners to bring in.

why inite

What every client comes to us for, whatever their field.

  1. AI that delivers on your goals.

    No slide decks, no chatbots. Working tools in your team’s hands, not another strategy workshop.

  2. Buy, build, or skip.

    Straight advice on what is worth building, buying, or leaving, carried from pilot through to production.

  3. Startup speed. Corporate delivery.

    Startup pace with the rigour your regulated world needs. Tailored rollout, at a speed that fits you.

proof

AI Traceability Graph · Remote patient monitoring MedTech

End-to-end traceability across hardware, firmware, app and cloud, the exact spine a regulated submission depends on.

Background
A medtech company in remote patient monitoring could not trace changes across hardware, firmware, the mobile app, cloud services and analytics consistently. It was often unclear which requirement a change addressed, which risk it mitigated and which tests provided evidence, slowing design reviews and creating late coverage gaps.
Solution
An AI Traceability Graph connecting user needs, requirements, design changes, risks, tests, defects and evidence across the tools the teams already use. The system suggests links, flags missing or inconsistent traceability, and generates a standardized traceability pack for design reviews.
Results
Design-review preparation time reduced by 30% to 50% through automated traceability packs. Earlier detection of verification gaps. Clear end-to-end traceability from requirement to change to test evidence across hardware, firmware, app, cloud and analytics.
inite's role
inite defined the traceability data model and naming standards, aligned teams on what 'done' means from a traceability perspective, specified the integrations and governance, and delivered an MVP scope and rollout plan.

“Before, we lost time proving what a change was for and where the evidence lived. With inite's approach and the traceability graph, we can answer those questions fast, align across disciplines, and go into reviews with confidence.”

Head of R&D · Remote Patient Monitoring MedTech Company

We help MedTech teams move from idea to approval, with personalized product, process and technical solutions, not another generic AI roadmap.

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Pick the conversation that fits where you are. Both are free 30-minute calls. No deck, no pitch.