AI isn't our future strategy. It's our daily work.
While others debate whether to adopt AI, we use it every day to launch life science brands faster and better. This page is what that means in practice, including the parts that didn't work.
Behind the scenes ↓Real impact
We don't experiment for the sake of it. A tool earns its place by changing how a piece of client work gets done, or it goes.
We learn fast
Every week we test a new capability, refine what we have, and find a better way to serve the client in front of us. Learning speed is the advantage.
Better, not cheaper
AI gives us sharper strategy, tighter messaging and faster execution. We're not cutting corners. We're raising the bar on what a team this size can deliver.
Where it shows up in your project,
discipline by discipline.
Positioning and messaging
01Thousands of customer conversations, support tickets and call transcripts read for the positioning insight a workshop would never surface. Competitor claims mapped in a day. The tone of voice guidelines applied to every line, automatically, before a human reads it.
Scientific content
02300+ papers synthesised in days instead of weeks, so a PhD writer starts from the evidence, not from a blank page. An always-on content engine, AI-drafted and human-edited, structured so search engines and AI answers cite it.
Brand and design
03Brand systems delivered as tokens, voice rules and claims registers that your team's AI tools read, so the deck a sales rep drafts on a Tuesday is on-brand. An automated check that cites the rule it broke.
Growth and lead generation
04Your addressable market mapped down to the individual, then outreach personalised at scale: a hundred emails that each read like one person wrote them, because one person set the rules. A GTM engineer, not a media buyer, runs it.
How a tool earns its place.
Every discipline lead is responsible for finding AI opportunities in their own work. Not as a side project. As part of doing the job better. The cycle is the same every time.
Where are we spending time on repetitive, high-volume work that costs judgement time?
A quick proof of concept, usually a few days, on real client work rather than a sandbox.
Does it save time? Does it improve quality? Or does it just sound good in a pitch?
If it works, it becomes a repeatable process and a skill the whole team runs. If not, we move on.
A team that's
AI doesn't replace the hard part.
The strategic thinking, the creative breakthrough, the judgement call that comes from knowing your market. We're still the team that:
- →Challenges your assumptions, when it makes the work better
- →Knows medtech and biotech inside out
- →Obsesses over the details that move a number
AI means we spend more time on that work, and less on production busywork.
We're not claiming to have it figured out. AI is moving fast, and so are we.
What we can promise: we're in the work every day, using these tools on real client projects, keeping what moves a number for life science companies and dropping what doesn't. Some agencies talk about AI. We ship it.
Ready to move faster?
Positioning a complex product, building a brand from scratch, or filling a pipeline: tell us the go-to-market challenge and we'll tell you where AI changes the answer, and where it doesn't.
The questions clients ask first.
How do you keep AI-assisted work at the quality we expect?+
Every AI output goes through the team's review. The AI handles scale and speed; people handle judgement, creativity and client context. The brand check runs before that review, so the reviewer reads the thinking, not the typos.
Will AI replace your team?+
No. AI makes us faster at the mechanical work so we spend more time on what matters: strategy, positioning and the creative solution that breaks through.
What if we're not ready for AI?+
You don't need an AI strategy to work with us. We use it behind the scenes to deliver better work. You experience faster timelines and sharper results.