Devies Data Hub

Models come and go.
Data stays. Own it!

Systems get replaced. AI models come and go. Your data should outlast all of it. Devies builds and runs the platform that connects everything you have today, so every person in your organisation is always working from the same numbers.

Without structured data underneath, AI hallucinates. With it, everything changes.

The real problem

The board said work with AI. Nobody knows what that actually means

Leadership has given the mandate to invest. Licences are paid for. People are experimenting, but the results aren’t coming. AI initiatives stall in the same place every time. The underlying architecture isn’t ready. Data is fragmented across systems, inconsistent between teams, and impossible to trust at scale. You can’t build on top of that.

An AI journey is not something individuals figure out on their own. It’s a company-level transformation. And it starts with the data.

Start with the data

The data exists. But you're investing on a broken foundation

Most organisations have more data than they can use, but it lives in systems that were never built to talk to each other. The result is unstructured data that no AI model can give predictive insights or deterministic answers to.

 

Everyone is experimenting. Nothing makes it into the organisation.

People have Claude open in one tab and their work in another. Individuals are getting value. The organisation is not. Individual AI usage doesn't scale until there's a data layer underneath it.

The data's there. Three people know how to reach it.

Every time someone needs a new view of the business, they put in a request and wait. Accessing your data requires SQL knowledge, a data engineer, or a two-week backlog. Data becomes something you have to ask for rather than something you can use.

Same object. Multiple different meanings.

In your CRM, a “customer” is anyone in the pipeline. In your ERP, it's a billing entity. In finance, it's an account with recognised revenue. Nobody owns the definition at a global level, so every report built on top of it inherits the same inconsistency.

Two forecasts. Neither matches.

Finance says 420 customers. Sales says 385. Both are pulling from your own systems. The first 20 minutes of every leadership meeting goes to figuring out whose numbers to trust.

The latest Excel is somewhere.

Reports are built by hand in spreadsheets. Three exports, two VLOOKUPs, one pivot table, every week. Your data is in your systems. The report is in someone's Downloads folder. And it's already out of date.

No shared view on how the business is performing.

Orders live in the ERP. Revenue in finance. Headcount in HR. Your operational performance is a puzzle nobody has time to assemble, so every major decision gets made on an incomplete picture of the business.

Bartek Regerqvist, CEO Sevr insights

In the age of AI, you can not sell hours anymore. What clients pay for is the knowledge, the judgment, the advice. We built this so the people who know the business can spend their time on exactly that.

Trusted by
industry leaders

Everything lands in one DataHub

Your systems keep working as they are. The Data Hub collects what they produce, refines it and hands every team the same governed view.

Sources
ERP systemOrders & production
CRMCustomers & pipeline
Finance systemInvoices & costs
WarehouseStock & movements
ForecastingDemand & targets
HR systemHeadcount & cost
Consumers
Live dashboardsPower BI, Looker
AI & automationModels & agents
Finance reportingP&L & forecasts
ManagementBoard & exco
Alerts & signalsProactive insights
Data exportsAPIs & queries
The journey

From fragmented data to organisational AI

There are two AI journeys happening in parallel; the individual’s and the company’s. Almost everyone is only getting value from the individual one and almost no one from the organisational. This is how you change that.

PHASE 01

Understanding your business.

We map the data sources across your ERP, operational tools and databases, document the current architecture and define the KPIs that matter to the business.

YOU GET

A data environment overview and an implementation roadmap.

PHASE 02

Building your Data Hub

Automated pipelines collect and structure data from every source into a three-layer platform. No more manual consolidation.

YOU GET

A continuously updated, reliable data platform — ready for reporting and AI.

PHASE 03

Connecting your systems

Nothing in your current stack gets replaced. We connect what you have into the Data Hub. The moment two systems share a data model, patterns emerge that neither could show alone.

YOU GET

Every domain you add multiplies the value of all the others.

PHASE 04

What becomes possible

Every AI agent, automation, and workflow you build from here runs on your data. The Data Hub is the platform everything else is built on top of.

YOU GET

The foundation for organisational AI. The company journey begins here.

Phase 02. How it works

Three layers. One reliable platform

We build your Data Hub using a proven layered architecture. Bronze and Silver are built during setup. Gold grows continuously with your business.

BronzeRaw foundation

Every data source lands here exactly as it comes: unchanged, timestamped, stored. The stable ground you can always return to.

SilverClean and unified

Data is cleaned, normalized, and correlated across sources. Same date format. Same customer ID. Same definition of “order” across every system.

Gold

Decision-ready

Aggregated views built for specific business questions. Revenue by channel. Margin by product line. Deterministic, repeatable answers.

The Gold layer is never “done”. It grows with your questions. Each table answers something specific, and the list expands as your business evolves.

Phase 03. The compounding effect

Every domain you add multiplies the value of all the others

Nothing in your current stack gets replaced or migrated. We connect what you have into the Data Hub. And the moment two systems share a data model, patterns emerge that neither could show alone.

 
Phase 04. What you get

Good data changes everything

Clean, connected data doesn’t just make reporting easier. It changes what your organisation can see, what it can trust, and what it can build on top of.

 

I don't want to make decisions based on anecdotes or other peoples gut feelings. I want real facts in aggregated numbers.

Simon Arvidsson, CEO, Devies
IN PRACTICE

Built for companies like yours

Three examples of what a Data Hub looks like when it's running and what it changes.

+

Stena Line modernises a business-critical data platform without interrupting the business.

25%

Pipeline runtime reduction

5+

New data sources integrated

3 yrs

Embedded partnership

Devies stabilised and modernised a core Azure data platform that powers Power BI reporting across bookings, operations and customer experience — restoring trust in critical data while building a scalable medallion architecture.

See Stena Line case

+

Gothenburg turns fragmented traffic data into a living city-planning tool.

400 h

Saved every year

Dozens

Of sources unified

One

Shared source of truth

A unified data model, stable pipelines and automated quality checks transformed scattered traffic measurements into a public catalogue and reliable daily planning tool for Stadsbyggnadsförvaltningen.

See Gothenburg case
Stadsbyggnadsförvaltningen

+

SEVR Insights turns live accounting data into trusted advice in under a minute.

90%

Estimated time saving

4 months

Concept to production

85,000

End users reached

Three developers and one designer built an AI-first financial platform that generates budgets, forecasts, liquidity analysis and management reports from Fortnox or SIE data — while keeping the consultant’s judgment at the centre.

See SEVR Insights case
The team

Let us handle it

Our team has built and run data platforms across dozens of organisations. We know what hides in legacy systems, what corrupt source data looks like and why some schemas exist the way they do. The messy reality of production data is exactly where we work best.

One-time engagement

Build

Your data platform, built and ready. We bring the entire capability, architecture, engineering, modelling and governance as a single engagement. A fixed scope that ends with a production-ready platform.

Monthly engagement

Operate

We keep it running and improving. Once the platform is live, we stay in it. Not to monitor from the sidelines, to actively develop it alongside your business. New sources, new insights, lower infrastructure costs.

Beyond the chatbot.

The real value of AI isn't chatbots. It's demand planning, financial forecasting, churn prediction, anomaly detection, price optimisation and predictive maintenance. Use cases that actually move the business. Every one of them stalls in the same place: the data underneath isn't ready. The Data Hub fixes that. We offer AI as a separate layer once the platform is in place.

Get started

Start with a conversation

In 45 minutes we’ll map your current systems, identify where the biggest friction lives, and tell you honestly what a Data Hub would look like for your organisation, and whether it makes sense.

Want to know more about us first? Learn more about Devies

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