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.
Databases & Warehouses
Dashboards, a full API and MCP access over your Microsoft Fabric data. Hosted in Finland. Self-hostable, or buy the platform outright and run it yourself.
A production-ready foundation designed to scale. Plug in pre-built modules for common workflows, or build your own on top.
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.
Data and AI run in a Finnish data centre. UpCloud in Helsinki, and Mistral trained with CSC on the LUMI supercomputer in Kajaani.
Scales to any level, from a new startup to a large enterprise. Build your own modules, or change the ones that ship.
Talos Linux, Kubernetes and Cilium. GitOps deployments, a separate database per customer, automated security controls and self-healing.
Most systems expose one API shaped around their own storage. Useful, but you build against that shape, handle its pagination, and repeat the exercise for every other system you own.
Jourier reads Microsoft Fabric and serves the result as modelled JSON, on one endpoint, alongside every other system you connect. It is joined, typed and reconciled to what the dashboards show.
# freshness and row counts, by modelled table GET /v1/warehouse/tables?status=modelled { "source": "microsoft-fabric", "as_of": "2026-08-16T06:12:00Z", "rows": [ { "table": "fct_orders", "rows": 1284310, "fresh_min": 6, "tests_passing": true } ] }
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes your connected systems as MCP tools, so Claude, Cursor or any MCP client can query Microsoft Fabric directly, and answer from the modelled tables 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.
You Which modelled tables are stale, and what feeds them? Claude Two are over an hour behind. Both wait on the same upstream load.
Each has its own setup page: what syncs, how often, and what the schema looks like on arrival.
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.
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 ArchitectureStandard 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 AtlasEvery 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 MonitoringContinuous external monitoring on independent scopes: supply chain, competitors, and how visible you are to AI assistants. It tells you; you don't go looking.
MonitoringAccess is granted per customer, so connecting is a matter of pasting keys. Nothing is installed and no port is opened.
xxxxxxxx.datawarehouse.fabric.microsoft.comYes. Jourier models on top of your existing Microsoft Fabric environment and serves the result as dashboards that are already built, reading the same tables your team already has.
No. The connection is read-only against Microsoft Fabric. Nothing is written back.
In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted, so your data is never a US vendor’s training material.
The connector is live. Connecting is a matter of pasting credentials: nothing is installed and no port is opened, and data flows the same day.
Yes. Jourier exposes MCP tools, so Claude, Cursor or any MCP client can query the modelled Microsoft Fabric tables directly and answer from them rather than from a plausible sentence about them. Access is scoped to what that user is allowed to see.
Yes. It is standard Kubernetes built on open components. You can take the manifests and run it on your own cluster whenever you decide to, and there is no proprietary runtime holding you in.
Yes. Jourier serves Microsoft Fabric alongside every other system you connect, on one endpoint, joined, typed and reconciled to what the dashboards show.
Let's discuss what Jourier can do for your company.
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