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.
Reads your Restolution back office and finds where margin leaks, in euros. Sales, purchasing and waste in one picture, with three ranked actions every week.
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.
Connect your systems and they fill with your own numbers. There is no modelling project to sit through first.
Margin leaves in amounts too small to notice. A supplier raises a price four percent, a portion drifts, a campaign runs at a loss. Each is invisible alone and material by the end of the quarter.
Access is arranged with Restolution. Its page describes what Jourier reads.
Jourier serves sales, purchasing and waste as modelled JSON on one endpoint, netted and reconciled so a margin figure in a report and a margin figure in a query agree.
# menu margin by dish, net of waste GET /v1/restaurant/menu_margin?period=2026-08 { "as_of": "2026-08-16T06:12:00Z", "rows": [ { "dish": "Burger", "sold": 1284, "margin_pct": 61.4, "waste_eur": 312 } ] }
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes your back office as MCP tools, so Claude answers from the sales and purchase records 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 dishes lost margin this quarter, and on what input? Claude Three did, all on purchase price. One supplier accounts for most of it.
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.
MonitoringRestolution has the connector today. Another back office is scoped as a build, the same way any system outside the catalog is.
In euros, against the articles it came from, so it sits beside margin rather than in a separate report nobody opens.
Three, ranked by what they are worth in euros. Ranking is the point: a list of twenty findings is a list nobody works through.
No. The connection is read-only.
Yes. Sales and margin are read per location, and the comparison between them is usually where the first real finding is.
In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted.
Yes. It is standard Kubernetes built on open components.
Let's discuss what Jourier can do for your company.
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