Enterprise-grade from day one
Live from the first day, and portable later to any system. No vendor lock-in to Jourier: take the code, the schema and the models and run them yourself.
Higher education
AMK Tutka
National admissions data for every Finnish university of applied sciences, updated after each application round and using the sector’s own definitions, so the numbers match what you already report.
Portable technical infrastructure to any cloud.
A production-ready foundation designed to scale. Plug in pre-built modules for common workflows, or build your own on top.
Hosted in Finland
Data and AI run in a Finnish data centre. UpCloud in Helsinki, and Mistral trained with CSC on the LUMI supercomputer in Kajaani.
Enterprise modular architecture
Scales to any level, from a new startup to a large enterprise. Build your own modules, or change the ones that ship.
The stack behind the unicorns
Talos Linux, Kubernetes and Cilium. GitOps deployments, a separate database per customer, automated security controls and self-healing.
The views ship with the product
Connect your systems and they fill with your own numbers. There is no modelling project to sit through first.
The grid
Three dimensions, and the questions they answer
Every AMK gets its own figures. Comparing them against the sector otherwise means downloading files from Vipunen and reconciling definitions by hand, every round.
- Institutionevery AMK
- Study fieldfield and programme
- Application roundeach round
- Applicationsfirst-preference and total
- Intakeplaces and accepted
- Definitionsthe sector’s own
In the product from day one
- Every Finnish university of applied sciences
- Applications, intake and study fields
- Updated after each application round
- The sector’s own definitions
- Benchmark your institution against the rest
- Trend across rounds, not one snapshot
- In production at amktutka.jourier.com
- An AI analyst over the sector data
AMK Tutka API
One API over the sector and everything else
Jourier serves applications and intake as modelled JSON on one endpoint, on the definitions the sector already reports against rather than a reinterpretation of them.
- Institutions, study fields, rounds and intake as first-class objects
- The sector’s own definitions, so figures reconcile to what you report
- Every round retained, so trend is queryable
# first-preference applications by field, this round GET /v1/amk/applications?round=2026-spring { "as_of": "2026-08-16T06:12:00Z", "rows": [ { "field": "Tekniikka", "first_pref": 4820, "places": 1240, "ratio": 3.9 } ] }
AMK Tutka MCP
Ask Claude about the sector
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes the admissions data as MCP tools, so Claude answers from the figures rather than from a plausible sentence about them.
Every answer resolves to rows you can open. The model retrieves; it does not compute the number, which is the only reason the answer is worth having.
- Works with Claude Desktop, Cursor, and any MCP-compatible client
- Answers use the sector’s own definitions
- Self-hosted models available, so your analysis never leaves the EU
You Which fields grew in first-preference applications this round? Claude Four did. Two of them lost places at the same time.
Where the data lands
AMK Tutka data in the tool you already use
Each has its own setup page: what syncs, how often, and what the schema looks like on arrival.
One product, one platform
Behind it is a full platform. EU-hosted in Finland, built on open components, portable by construction. None of it depends on staying a Jourier customer.
Sovereignty
Finnish hosting, Finnish AI
Your data stays in Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted, so your ledger is never a US vendor's training material.
The platform ArchitectureSelf-hostable Kubernetes
Standard Kubernetes, open components. Take the manifests and run it on your own cluster whenever you decide to. No proprietary runtime holding you in.
The platform AtlasCompany intelligence
Every registered Finnish company: financials, ownership, lifecycle and public procurement. Find buyers who look like your best customers, and tenders you can bid on.
Company Atlas MonitoringWatch what moves outside
Continuous external monitoring on independent scopes: supply chain, competitors, and how visible you are to AI assistants. It tells you; you don't go looking.
MonitoringAMK Tutka, answered
Which institutions are covered?
Every Finnish university of applied sciences, not only your own. Comparing against the sector is the point.
How often is it updated?
After each application round, which is when the figures actually change.
Whose definitions are used?
The sector’s own. That is deliberate: figures that do not reconcile with what an institution already reports get argued with rather than used.
Who was it built with?
The people who plan intake. It is in production at amktutka.jourier.com.
Can I see trend rather than one round?
Yes. Every round is retained, so a field can be read across rounds instead of as a snapshot.
Where is the data stored?
In Finland, on EU infrastructure, under EU law.
Can I run it on my own infrastructure?
Yes. It is standard Kubernetes built on open components.
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