Bespoke data applications

A coded React application Jourier builds for your team. Your codebase, no per-seat licence, no vendor lock-in. Bridges to legacy BI (Power BI, Tableau, Looker, Metabase) when needed.

AI agents

Agents that read from Folk and take action: drafts, triage, routing, follow-ups. Runs on Anthropic, OpenAI, Gemini, Mistral, or self-hosted models.

MCP servers

Expose Folk to Claude, ChatGPT, Cursor, and any MCP client. Standardized tool calls, deterministic responses.

Custom apps

Internal tools, dashboards, marketplaces. Built end-to-end with Folk as the source of truth.

Bespoke pipeline. Customer-owned.

Jourier builds the Folk integration into your Data Hub, a bespoke layer modeled to your business. Folk data flows in continuously, joins the rest of your operational systems, and surfaces to whichever consumer your team uses.

  • Real-time change-data-capture for Folk where supported
  • Webhooks and scheduled polling for the rest
  • Schema versioning and history handled in the data layer
  • Hosted on your cloud, or on Jourier
  • Code, schema, and documentation belong to your business

Replace legacy BI tools wired into Folk.

Most teams have stacks of legacy reporting tools (Power BI, Tableau, Looker, Cognos, Crystal Reports, MicroStrategy) stitched into Folk over years. They cost a fortune in per-seat licences, lock the business to a single vendor, and break every time Folk changes its schema.

Jourier delivers the alternative: a bespoke data application built in React and TypeScript, modeled to your operations and owned by your team. Pipeline analytics, conversion-funnel reporting, and customer 360 dashboards delivered as a real engineered application, not a vendor configuration. Move off legacy reporting on your timeline. Jourier keeps the legacy stack and the new application running in parallel for teams that need a transition window.

Can I connect Folk to Power BI?

Yes. Jourier's default is a bespoke data application coded in React and TypeScript, modeled to your operations and owned by your team. No per-seat licence, no vendor lock-in. For teams not ready to migrate off Power BI, Jourier builds the bridge: Folk flows into the Data Hub layer and surfaces in Power BI as a dataset your team can build pipeline analytics on top of. Both run in parallel during a transition.

Can I connect Folk to Tableau, Looker, or Metabase?

Yes. Jourier's default is a bespoke data application coded for your team in React and TypeScript, not a vendor BI tool. For teams constrained by an existing Tableau, Looker, or Metabase contract, the same Data Hub layer feeds them. One trusted source behind whichever front-end your team uses.

Can I expose Folk data via MCP to Claude or ChatGPT?

Yes. Jourier builds Model Context Protocol (MCP) servers that surface Folk data as structured tool calls to Claude, ChatGPT, Cursor, and any MCP-compatible client. Deterministic responses, no API hallucination. Right for lead enrichment and research workflows that need accurate Folk answers.

Can I build AI agents that act on Folk data?

Yes. Jourier builds AI agents that read from Folk and take action: drafts, triage, routing, follow-ups. Models picked per workload (Anthropic Claude, OpenAI GPT, Google Gemini, Mistral, or self-hosted). Deterministic flows where consistency matters, language models where language is the right tool.

Is the Folk integration real-time?

Where Folk supports it, yes. Change-data-capture (CDC) pipelines run on Kafka and surface updates within seconds. Otherwise scheduled polling and webhooks keep the layer current at the cadence the business needs. Time to first sync is typically instant to one day.

Can I host the Folk integration on my own cloud?

Yes. The Folk pipeline runs on your cloud (AWS, Azure, GCP, or your existing Databricks / Snowflake / Supabase / Postgres setup), or on Jourier's infrastructure if you want fast results. Both are real options. Customer ownership and full handover are the default.

Who owns the Folk integration code and schema?

You do. Jourier delivers the Folk pipeline, the data model, the documentation, and the runbooks as part of the engagement. Schema, code, infrastructure config: all yours. Self-host, or have us host. Take it over whenever you want, or hand it to another vendor. No lock-in, no per-seat licence.

Can Jourier replace legacy BI tools that depend on Folk?

Yes. This is most of what we do. Teams often have stacks of legacy reporting tools (Power BI, Tableau, Looker, Cognos, Crystal Reports, MicroStrategy) wired into Folk over years. They cost a fortune in per-seat licences, lock the business to a single vendor, and break every time Folk changes its schema. Jourier delivers the alternative: a bespoke data application coded in React and TypeScript, modeled to your operations. Pipeline analytics, conversion-funnel reporting, and customer 360 dashboards delivered as a real engineered application your team owns. Both stacks can run in parallel during the migration.

What does a Folk integration cost?

Bespoke engagement, scoped to the workflows that matter. No per-seat licences, no platform fees if you self-host, no surprise overage charges. The Data Hub layer is delivered once and run by your team or by Jourier. Pricing is project-based, not subscription-based.

How long does a Folk integration take to build?

First sync of Folk data is typically instant to one day. A scoped Data Hub engagement covering Folk plus the workflows it powers (pipeline analytics, conversion-funnel reporting) usually runs 6 to 12 weeks per phase. Bigger transformations are split into phases, each shipping value before the next begins.

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Aleksi Stenberg Founder & CEO
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