Modern Medical Communications — built on 20 years in the industry.
Deep MedComms experience and technical AI expertise. Not one or the other.
Most AI consultants know AI. Fewer of them know your world.
They know the tools. They don't know the pressure of a congress deadline, the complexity of getting medical and legal sign-off, the difference between a strong clinical dataset and a well-communicated one, or what it actually takes to shift behaviour in a MedComms team.
Evo Medica was founded on a different premise: that the most valuable thing isn't AI expertise in isolation, but AI expertise combined with deep, first-hand experience in medical communications.
20 years across the MedComms landscape
I've spent 20 years working across the healthcare communications landscape — from junior writer through to senior leadership within MedComms agencies. In that time I've worked on programmes across therapy areas, supported pharma clients at every stage from preclinical through to loss of exclusivity, and navigated the full range of what makes MedComms hard in practice: compliance, stakeholders, scientific complexity, and the constant tension between ambition and resource.
That background shapes everything about how Evo Medica works. When I sit with a publications team and talk about AI adoption, I'm not speaking from theory. I know the workflows, the constraints, and the people. I know where AI actually helps and where it creates more problems than it solves.
The work we do now — GEO assessments, the Scientific Impact Index, AI capability training, and beyond — came out of real questions from real pharma and MedComms clients.
A specific gap, filled deliberately
The consultancy was founded on a specific observation: that the desire to apply AI in both Pharma and MedComms is outpacing the understanding of how to do this effectively, and to measure and optimise it.
Teams are adopting AI tools. Publications are being published into an AI-mediated information environment. Medical affairs functions are being asked to demonstrate scientific impact in ways that traditional citation metrics can't answer. And very few people at the intersection of AI and MedComms have the domain depth to work through those problems with real authority.
That's the specific gap Evo Medica exists to fill.
Deliberately small and senior
Evo Medica is deliberately small and senior. When you engage with us, you work directly with Duncan — not with a delivery team that's been briefed second-hand.
That means faster onboarding, more direct communication, and work that's informed by domain expertise at every step. It also means we're selective about the engagements we take on. We'd rather do a smaller number of things well than spread across projects where we can't add real value.
A few principles that shape how we work
Strategy before software
AI adoption fails when technology is chosen before the problem is defined. We start with what the team is trying to achieve and work backwards to what tools and methods will actually help.
Measurement built in
If you can't tell whether it's working, it's not working well enough. Every engagement we run includes a view on how to measure outcomes — whether that's AI visibility scoring, capability assessment, or publication impact tracking.
Invested in your success
We'll tell you what we see in the data, even when it's not what you expected. The value of an assessment is its accuracy, not its optimism.
The best way to understand whether we're the right fit is to have a conversation.
We're happy to talk through what you're working on before any formal engagement. No sales process, no proposal required.
Get in touch