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.
External signals
Monitoring
Watches things outside your company and tells you when they move. Three scopes run independently, every alert arrives with its evidence, and history is kept so you read a trend rather than a single reading.
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.
Anatomy of an alert
The evidence arrives with it
An alert without its evidence is a rumour. Every one carries the filing, the page diff or the posting that triggered it, so the first question a colleague asks is already answered.
- What changedstated plainly
- The evidenceattached
- Sourcenamed
- When observedtimestamped
- Historykept
- Scopeindependent
In the product from day one
- Supply-chain distress signals on your suppliers
- Competitor filings, hiring and pricing pages
- How AI assistants answer about your brand
- Evidence attached to every alert
- Trend history rather than single readings
- Three scopes that run independently
- Alerts by email on your own schedule
- An AI analyst over the signal history
Monitoring API
One API over the signals and everything else
Jourier serves alerts and their evidence as modelled JSON on one endpoint, joined to the companies in your own systems rather than sitting in a separate feed.
- Alerts, evidence, sources and observation dates as first-class objects
- Joined to your own pipeline by business ID
- History retained, so a trend is queryable rather than inferred
# supplier distress signals, last 30 days GET /v1/monitoring/signals?scope=supply_chain&window=30d { "as_of": "2026-08-16T06:12:00Z", "rows": [ { "business_id": "1234567-8", "signal": "auditor_change", "observed": "2026-08-04" } ] }
Monitoring MCP
Ask Claude what moved outside
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes the signal history as MCP tools, so Claude answers from observations 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
- Every answer carries the evidence behind it
- Self-hosted models available, so your watchlists never leave the EU
You Did anything change with our suppliers this month? Claude Three did. One auditor change and two filings, all in the last two weeks.
Where the data lands
Monitoring 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.
MonitoringMonitoring, answered
What exactly is monitored?
Three independent scopes: distress signals on your suppliers, competitor filings and hiring and pricing pages, and how AI assistants answer about your brand. You pick which run.
What is in an alert?
The fact that changed, the evidence that shows it, the source, and when it was observed. The evidence is the filing, the page diff or the posting itself.
Why does history matter?
Because a single reading is noise. Keeping the history is what turns three observations into a trend you can act on.
How often does it run?
On a schedule per scope. The point is that it runs while you are busy, which is the failure mode of doing this by hand.
Does it monitor my own systems?
No. Monitoring watches outside your company. Your own systems are what the other products read.
Where is the data stored?
In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted.
Can I run it on my own infrastructure?
Yes. It is standard Kubernetes built on open components.
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