Datascope Surveys & Feedback

Connect Datascope

Dashboards, a full API and MCP access over your Datascope data. Hosted in Finland. Self-hostable, or buy the platform outright and run it yourself.

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The Jourier workspace with Datascope connected
An example Jourier dashboard
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  • UpCloud
  • CSC
  • LUMI supercomputer
  • AI Finland

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.

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.

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.

Datascope API

One API over Datascope and everything else

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 Datascope 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.

  • Surveys, responses, scores and comments as first-class objects
  • Joined to the customer record, so a score has an account behind it
  • Read-only against Datascope; nothing is written back
Your data, your query
# score trend by segment, this quarter
GET /v1/feedback/scores?period=2026-Q3

{
  "source": "datascope",
  "as_of":  "2026-08-16T06:12:00Z",
  "rows": [
    { "segment": "Enterprise", "score": 41,
      "responses": 118, "delta": -6 }
  ]
}
Datascope MCP

Ask Claude about your own feedback

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 Datascope directly, and answer from the responses 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
  • Scoped to what that user is allowed to see
  • Self-hosted models available, so respondent data never leaves the EU
Claude · jourier
You
Which segment dropped most,
and what did they actually write?

Claude
Enterprise, down 6 points. Most
comments name the same onboarding step.
Where the data lands

Datascope 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.

ChatGPT Claude Power BI Tableau Looker Sigma Qlik Databricks Snowflake Microsoft Fabric Supabase PostgreSQL BigQuery Amazon Redshift ClickHouse
What you're connecting it to

Datascope is one door in

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 Architecture

Self-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 Atlas

Company 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 Monitoring

Watch 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.

Monitoring
Questions

Datascope and Jourier, answered

Can I get Datascope data into a dashboard?

Yes. Jourier reads Datascope and serves score trends, response rates and segment breakdowns as dashboards that are already built. You connect Datascope and they fill with your own responses, so there is no modelling project first.

Does Jourier write anything back to Datascope?

No. The connection is read-only against Datascope. Nothing is written back.

Where is Datascope data stored when I use Jourier?

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.

How long does connecting Datascope take?

Setup is guided. Nothing is installed on your side and no port is opened.

Can I use Datascope data from Claude or another AI tool?

Yes. Jourier exposes MCP tools, so Claude, Cursor or any MCP client can query Datascope directly and answer from the responses rather than from a plausible sentence about them. Access is scoped to what that user is allowed to see.

Can I run it on my own infrastructure?

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.

Does this work with other systems as well as Datascope?

Yes. Jourier serves Datascope alongside every other system you connect, on one endpoint, joined, typed and reconciled to what the dashboards show.

Get started
Self-serve

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