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.
Pipeline & revenue
Sales
Pipeline, deals and activity from your CRM in one view. Win rates and deal velocity cover the whole team rather than one rep’s saved view, and the forecast runs on your own closed-deal history.
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.
Weighted pipeline
Every stage carries its own probability
The weights come from your own closed-deal history and move as it changes, so the weighted number is worth quoting to a board rather than a default someone set once.
- Lead5%
- Qualified15%
- Discovery25%
- Solution design40%
- Proposal55%
- Negotiation70%
- Verbal commit90%
In the product from day one
- Pipeline by stage, weighted and unweighted
- Win rates across the whole team
- Deal velocity and where deals stall
- Coverage ratio against quota
- Account health and expansion opportunities
- Rep attainment against pace
- A forecast fitted to your own closed deals
- An AI analyst over your own pipeline
Three CRMs, and everything else you run
Each has its own page with the credentials it needs and what Jourier reads from it.
Sales API
One API over your pipeline and everything else
Jourier serves deals, stages and activity as modelled JSON on one endpoint, alongside every other system you connect. Reconciled to what the dashboards show, so a forecast in a deck and a forecast in a query cannot disagree.
- Deals, stages, activities and owners as first-class objects
- The same numbers the dashboards use, from one definition
- Read-only against your CRM; nothing is written back
# win rate by stage, trailing four quarters GET /v1/sales/win_rate?window=4q { "as_of": "2026-08-16T06:12:00Z", "rows": [ { "stage": "Proposal", "win_rate": 0.31, "avg_days": 18, "delta_days": 7 } ] }
Sales MCP
Ask Claude about your own pipeline
Model Context Protocol is how an AI assistant calls a real tool instead of guessing. Jourier exposes your CRM as MCP tools, so Claude, Cursor or any MCP client answers from the deal history rather than from a plausible sentence about it.
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
- Scoped to what that user is allowed to see
- Self-hosted models available, so your pipeline never leaves the EU
You Where are deals stalling, and has that changed since last quarter? Claude Proposal to contract, now 18 days. Up from 11. Same three owners.
Where the data lands
Sales 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.
MonitoringSales, answered
Which CRMs does this work with?
HubSpot, Pipedrive and Salesforce have their own connectors, and each has a page describing what it reads. Anything outside that list is scoped as a build.
Where do the stage probabilities come from?
Your own closed-deal history, refitted as it changes. They are not vendor defaults, which is the difference between a forecast worth quoting and one worth ignoring.
Does this cover the whole team or just my own deals?
The whole team. Win rate and velocity are computed across every owner rather than from one saved view, which is usually where CRM reporting quietly diverges.
Does Jourier write anything back to the CRM?
No. The connection is read-only. No deals are created, no stages moved, no activity logged.
Where is the data stored?
In Finland, on EU infrastructure, under EU law. The AI that reads it is self-hosted, so your pipeline is never a US vendor’s training material.
Can I run it on my own infrastructure?
Yes. It is standard Kubernetes built on open components. Take the manifests and run it on your own cluster whenever you decide to.
Can I see why a deal is scored the way it is?
Yes. Every weighted figure opens to the deals behind it, with their stage history. The model retrieves rather than estimates.
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