Backed by Station F
Agify is backed by Station F in Paris. It’s where we work, alongside other teams building their companies.
Agify was founded in the summer of 2025. With our very first customers, we kept seeing the same thing: their sales teams had no shortage of names. They had lists of thousands of contacts, and no one to tell them which ones to call this week.
We started out building custom AI agents for very different teams. Project after project, our real subject came into focus, narrower and harder: the moment a company has a reason to buy, and the person who can decide.
AgifyMD is dedicated to teams that sell to healthcare facilities: spot the department with a reason to act and the person who owns the project, then prepare the first conversation. When sales cycles often run longer than a year, showing up at the right moment changes everything.
This page is our log: the milestones, what each one taught us, the convictions that came out of them, and the people who lived them. We only write down what actually happened.
Agify is backed by Station F in Paris. It’s where we work, alongside other teams building their companies.
Sales reps who have worked with our tools, in healthcare and in other industries.
IA Mastery, our free community, where more than ten thousand professionals learn to apply AI to their real work.
Explore IA MasteryOn YouTube, Mayeul shows what he builds and what he learns from our customers, one real problem at a time.
A few months before founding the company, Mayeul gives a talk and runs a workshop at the Sorbonne on AI agents in business, using no-code tools. One idea has stayed with us: people adopt a tool only when it takes a specific job off their plate.
Agify is set up as an SAS (a French simplified joint-stock company), led by Mayeul Rougevin. The opening bet: agents that do real work, inside the tools where that work happens.
Olea Medical (part of Canon Medical Systems), Coreline Soft, Curecall: we qualify thousands of radiologists and facilities across Europe and the United States. At Curecall, targeting facilities with public data from the HAS (France’s National Authority for Health) led to €90,000 in contracts in two months, according to the client.
For almost six months, we invite radiologists to a medical congress: 2,427 contacted in six countries, 64.7% of messages read, and an 18.8% reply rate. The lesson: a precise message, sent to the right person, gets read.
From March to July, we try several formats: turnkey campaigns, self-serve software. Call after call, our prospects correct us: they already have the list. What they lack is knowing who to call now, and why, in a database that stays current.
Agify narrows its focus to a single craft, selling: spot the accounts with a reason to buy, find the person who decides, and draft the first message. Radar becomes our core offer.
Agify is for every sales team; AgifyMD, for teams that sell to healthcare facilities. Same tools, same standards, and the vocabulary of each market.
Hire a salesperson who has sold to hospitals, open Germany in 2027, and keep publishing what we learn in the field. We will keep this log up to date.
MedTech teams already know the hospitals. What they lack is knowing which department has a reason to act now, and why.
A signal without a source is just a rumor. We show where each piece of information comes from and when it was collected, and we write down what we don’t know.
Volume doesn’t make up for poor targeting. A few dozen well-chosen accounts beat thousands of rough contacts.
Markets move every week. A list delivered once starts aging the next day: it has to stay current without anyone having to ask.
Information that lives outside the CRM is quickly forgotten. It has to show up where the team already works, not in yet another tab.
We prepare the ground; they decide who to contact and what to say. Our tools support their judgment; they don’t replace it.
A small team based at Station F, and two advisors who lend us their perspective: the law on one side, healthcare on the other.
Speaking
In April 2025, at the Sorbonne, Mayeul gave a talk followed by a workshop on AI agents in business, using Make and n8n. Since then, we have kept explaining in public what we build, and what it teaches us.