Students see Zetamed. Underneath, it's ekory.
How a young Italian edtech built its entire product on ekory: an AI study platform for the medical-school open semester, grounded on Zanichelli textbooks. Their brand, their content, their customers. Without building the technology.
A reform created the market. The calendar set the deadline.
Since 2025, anyone in Italy can enrol in Medicine, Dentistry or Veterinary studies. But to continue, students must pass three national exams, Biology, Chemistry and Physics, by the end of the first semester. Everyone gets in; few get through.
Zetamed's answer is method over cramming: 30 to 45 well-spent minutes a day, on content students can trust because it comes from the Zanichelli textbooks, with the theory page cited. The kind of promise you can only keep if the product underneath is precise.
The product lives on questions like these, at any hour:
Answering them well, thousands of times, for every chapter of three subjects, is not a chatbot feature. It's a product.
A product-grade platform, with a startup-size team.
Zetamed had the two things that matter most: domain expertise and editorial content worth trusting. What it didn't have was two years and an engineering department to build the platform around them.
- 01 A product, not a pilot. Students pay for a study platform, judged against the best consumer apps they use every day. A generic AI interface with someone else's logo was never an option.
- 02 Editorial trust, or nothing. In test prep, one wrong answer costs all credibility. Every quiz, lesson and flashcard had to trace back to the Zanichelli page it comes from. Improvised AI answers were not acceptable.
- 03 Content at a scale no small team can hand-write. Three subjects, every chapter of the official syllabus, each needing quizzes, lessons with slides, flashcards, audio and video. Thousands of items, all reviewed, all consistent.
- 04 The reform's calendar, not theirs. The open semester starts when the academic year starts. Building a platform from scratch meant missing the market's first real cohort.
The best platform is the one you don't have to build.
ekory white-label isn't a logo swap. It's the whole product surface: name, colors, typography, browser tab, onboarding, what each role sees. Zetamed's students study on Zetamed. That ekory runs underneath is an implementation detail, and that's exactly the point.
A custom product, without the custom build.
On ekory, Zetamed's team assembled the product they had in mind, not the product a platform imposed on them.
Their product, on every pixel
Zetamed's name, palette and identity across the whole experience, from the browser tab to the study screen. Students never meet a supplier's brand.
Zeta, a tutor with sources
The AI tutor students study with. It explains, plans and drills, grounded on the Zanichelli textbooks, and points back to the theory page instead of improvising.
One brain, every format
Quizzes by chapter and difficulty, podcast lessons for the commute, video lessons with AI-generated slides, flashcards, mind maps and full exam simulations. All generated from the same editorial base, so they can't contradict each other.
The product and the back office are one
The same workspace runs both sides: students study; the team loads sources, produces content, reviews it and manages access. No second system to build or buy.
Zeta knows the books. And the student.
The heart of the product is the tutor. Zeta doesn't just answer questions: it builds a personal study plan, remembers each student's mistakes and comes back to them, and adapts to where the student starts from, science track or not. And every answer traces back to the textbook. This is what that looks like:
Editorial scale, editorial standards.
The most concrete proof of the model is what a small team has already produced on ekory, before its first full cohort: a content base that would have taken years to hand-write.
Produced doesn't mean auto-published: the team reviews and curates everything. AI does the scale; the experts keep the standards.
More than 200 quizzes, and counting
By chapter and difficulty, each citing the theory page it tests. The adaptive engine decides which one a student sees next.
More than 150 learning materials
Lessons with AI-generated slides, podcast episodes for the commute, videos, mind maps, flashcard decks: every chapter exists in the format a student learns best from, all generated from the same editorial base. The same engine can go as far as full knowledge wikis.
Zeta, inside every material
The tutor isn't a separate chatbot: it sits next to quizzes and lessons, explains why an answer is wrong and points to the exact theory page to review.
Exam-format simulations
Full 45-minute tests in the official exam format, so the first time a student sees the real thing, it isn't the first time.
One organization per business. Any business.
Zetamed is one instance of a pattern: a team with real domain knowledge (a publisher's textbooks, a firm's method, a consultant's practice) turning it into a branded product on ekory, without building or maintaining the technology.
Each business gets its own sealed organization: its content, its people, its brand, its pricing. ekory evolves the platform; the partner owns the product and the customers. What Zetamed did with editorial test prep, someone else can do with compliance, safety training or a professional certification.
If your knowledge is good enough to sell, it's good enough to become a product.
Start freeLive, launching, and built to grow.
Zetamed is in its launch phase: the platform is live, and the first students are onboarding. What's already in place is the part that takes years:
This page will get its adoption numbers with time; that's not what it's here to prove. What it proves today is the model: a small expert team shipped a complete, branded, editorial-grade AI study product in months, not years, and every new cohort now costs content review, not engineering.
Four reasons this model holds.
What made this different from “an app with AI features”.
White-label that goes all the way
Not a themed interface: the whole product surface belongs to Zetamed. A product you can price, market and defend.
Editorial ground truth
Everything generates from the Zanichelli textbooks and points back to them. Trust is the product's core feature, so it's the platform's core constraint.
A factory, not a catalogue
Quizzes, audio, maps and simulations come from one shared base. Producing more of them is a workflow, not a project.
Experts stay in charge
AI produces at scale; Zetamed's team reviews, curates and decides. The platform amplifies the domain experts, it doesn't replace them.
Your expertise could be a product.
If you have knowledge people would pay to learn (a method, a body of content, a practice), ekory can be the platform underneath it: your brand, your customers, live in weeks. Start free, or talk to us about building your vertical.