Advice is becoming free. Navigation is not.
436 reflections from 64 students across more than twenty institutions, six formal research partners, and an identity layer that is live today. Here is what we have proven, the square of the market nobody occupies, and what this round is for.
Six formal university research relationships are in place, with no procurement and no revenue share. The identity layer is live today. The execution layer launches in October. The company is a Swiss SA in Geneva, founder bootstrapped, with no salaries drawn.
A sample of the institutions Cohort 01 students came from. Logos identify the universities reached, and do not imply endorsement.
The Geneva innovation ecosystem, academic and youth organisations the work runs alongside.
Why now
AI made career advice free. Agency became the scarce asset.
Every generation before this one climbed the same basic ladder: education, a job, a promotion, a career. This is the first generation for whom AI removes rungs faster than school can teach around them. Machines amplified labour, software amplified knowledge, and AI amplifies cognition. Each shift moved where value sits. It now sits in agency, and agency is the one thing a model cannot hand you.
Students are not looking for a job
They are looking for direction. Across 436 reflections the ask was consistent: deeper reflection, longer engagement, clearer self-understanding. Not more applications.
External pressure replaces self direction
Students choose against expectation rather than against aptitude, values and how they actually want to work. That is a formation failure, and it happens years before the job search.
The path is still forming
The tracks have not been laid for this cohort. Which is why the product coaches them to build their own in real time rather than pointing at a ladder that is missing rungs.
What we are not promising
We cannot tell you which jobs will exist in five years. Nobody can. We can build the person who keeps finding out, and the record that proves they did.
What we do that a chatbot does not
The ledger is the asset. Every move launched, every echo recorded, every referral and every first pound of income is an append-only entry, attributed to a source. AI generates answers. This generates progress, and keeps the receipt.
The square nobody occupies
Two axes explain the whole competitive set. Horizontally, whether a product helps a person decide who to become, or connects an already decided person to a job. Vertically, who pays.
Human coaching
Real formation, priced one to one. A global industry that cannot reach a cohort of students at zero marginal cost.
ChatGPT, Indeed
On demand answers and transaction volume. No structured journey, no institutional accountability, no longitudinal record.
Vocating
Formation, free to the student, paid for by the institution accountable for their direction. The only other occupant of this square is a career services office at roughly 1,889 students per adviser.
Handshake, LinkedIn, Coursera, BetterUp
The crowded corner. Billions of dollars of enterprise value, all of it earned at the moment of matching, none of it before.
No incumbent occupies the lower left square, and it is not an oversight. Their economic model is built on the moment of matching, so they need the student to have already chosen. We help create the choice, then become the source of the signal everyone downstream wants.
Three layers, one journey
Free formation, paid execution
The formation layer is free to the student and stays free. Money sits on the execution layer, and on the institutions accountable for outcomes: student premium, university licensing per learner, then corporate and public sector programmes. Three price points go live at the October paywall, and the answer on conversion, retention and cost to serve comes from that launch rather than from a spreadsheet.
A company that is also a laboratory
Florian Kemmerich wrote On Vocation, published by Routledge, before there was a product. The order matters: the book is the framework, the cohorts are the data, the product is built on the research rather than bolted onto a pitch, and the second book follows.
20+ institutions reached, no marketing
Students found Cohort 01 across Europe, Asia and North America without a single campaign behind it.
6 formal research partners
University research relationships already in place, with no procurement cycle and no revenue share to negotiate.
71 percent activation
65 of 91 registered students became active participants. On a free product found by word of mouth, that is the number worth watching.
Presented at UN AI for Good
The research was presented in Geneva, which is also where the company sits, inside the FONGIT innovation ecosystem.
Milestone gates, not calendar promises
Where the money goes
Forty percent of this round goes to go-to-market and institutional sales, and the rest to completing the execution layer. The money buys evidence before it buys growth: testing messaging, audience and product-market fit, with no growth spend until the economics work. The founders are not drawing salaries, so the capital goes to the build and to the testing.
How we will report
The paywall launches in October and the numbers that matter are the ones it produces: conversion, retention, cost to acquire and cost to serve. Not signups.
Direction, not jobs.
LinkedIn became the professional identity layer of the internet. We are building the Human Agency layer of the AI economy: the place where people form direction before the market measures them. The window to be early on that is the window before the market wakes up to the direction gap.
Request the deck Talk to the foundersOur own figures come from Cohort 01 and the research programme. Third-party figures are attributed to their source: student-to-adviser ratios (NACE benchmarks) and incumbent scale and valuation figures (Sacra, PitchBook, company reporting), as compiled in our competitive brief.