Healthcare and medtech: stay compliant, reach the market
In medical devices and life sciences, regulatory compliance, quality and market access have to be decided together. We build your strategy, deploy it with your teams and steer the results.
Healthcare companies operate in a demanding framework. The European Medical Device Regulation (MDR), Swissmedic requirements, Switzerland's position relative to the European market and the expectations of payers all call for constant trade-offs. Every choice on portfolio, markets or investment carries regulatory, financial and operational consequences that need to be measured before a decision is made.
For each mission, we assemble a senior team suited to the question: a dedicated contact, our core team (strategy, finance, operations, data, AI) and sector experts from our network, selected for their expertise profile. We work with your existing tools and quality systems. We sell no software, and we stay with you until the decisions deliver their effects.
The industry’s challenges
Recertifying existing devices ties up scarce resources and forces a choice about which products to maintain, adapt or withdraw. Without a clear economic view of each range, these decisions are made under pressure rather than by design.
Technical documentation, vigilance and post-market surveillance add up, and they often rest on inherited practices. The risk is compliance that exists on paper while the organization does not truly carry it day to day.
Each market has its own rules for approval, reimbursement and distribution, and long timelines weigh on cash. Launches need to be sequenced, partners secured and the business model tested before resources are committed.
Where AI makes the difference
The economic and regulatory analysis of each range relies first on a rigorous method and clean data. AI can speed up the review of large volumes of documents, but the decision remains with your leadership.
Clarifying roles, simplifying processes and training teams delivers most of the result. Where the same gaps keep recurring, AI helps detect them earlier in your existing quality data.
A short dashboard connected to your current systems is enough to follow regulatory milestones, costs and sales. Common sense means setting few indicators and reviewing them regularly, with AI used only to anticipate deviations.
