Modern Medical Communications – built on 20 years in the industry.
We combine deep MedComms experience with technical AI expertise.
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 takes to shift behaviour in a MedComms team.
Evo Medica was founded on the premise that AI expertise is most valuable when 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 helps and where it creates more problems than it solves.
The work we do now, including GEO assessments, the Scientific Impact Index and AI capability training, came out of questions from pharma and MedComms clients.
The gap we fill
The consultancy was founded on an observation: the desire to apply AI in Pharma and MedComms is outpacing the understanding of how to do it effectively, and how 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 authority.
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 briefed second-hand.
That means faster onboarding, more direct communication and domain expertise at every step. It also means we're selective about the engagements we take on. We'd rather do fewer things well than spread across projects where we can't add 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 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. We don't need a sales process or a proposal first.
Get in touch