Data Platforms

Less time assembling data. More time using it.

Your team should not have to rebuild the numbers every time someone asks a question. Haryn builds tailored data platforms that bring information from across your business together, give it consistent meaning, and make it useful for reporting and analysis. A dependable foundation for decisions, built around the way your business works.

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What we build

From scattered information to a shared understanding.

Sales in one system. Operations in another. Finance in a spreadsheet. We connect the relevant sources and shape the data around the questions your business needs to answer.

Make reporting repeatable

Replace recurring exports and manual reconciliation with data pipelines and shared definitions. Give your reports a consistent starting point, with refresh schedules and quality checks suited to the decisions they support.

Understand what drives performance

Connect orders, delivery, costs, and customer activity to explore the relationships between them. Give your team useful datasets for dashboards and deeper analysis, rather than another collection of disconnected reports.

Build once. Use it across the business.

Make well-defined data available to the people and applications that need it. Reuse the same foundation for reporting, operational software, and useful AI capabilities, with appropriate access for each.

Connect the data to the work it supports.

We assess your existing sources, reporting tools, and infrastructure before deciding what to change, then connect your data to the applications and workflows that need it. Where tailored software is needed, we can build both as one system.

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Start focused. Build to evolve.

Start with a business question. Not a platform shopping list.

You do not need to connect every source before the work becomes useful. We start with a reporting problem, a decision your team struggles to make, or a dataset that takes too much effort to prepare. Together, we identify the sources, definitions, and first usable result.

We build that first slice from source to use, validate the numbers with your team, and extend it as priorities become clear. Architecture, integration, and transformation serve the work, rather than becoming a separate project with no useful output.

A focused first release, checked against source data and the people who understand it.
Data quality checks, ownership, permissions, and governance built in from the start.
Refresh monitoring, deployment, documentation, and support planned for day-to-day use.

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What makes this different

Built for your business. Ready for what comes next.

How we build

Tailored without starting from scratch.

Our AI-powered engineering approach helps us develop integrations, transformations, and tests around your data needs. We use established platform tools where they fit and tailor the parts that make your business different.

Engineers remain responsible for the architecture and the result. We check data flows and business definitions with your team, so faster development does not mean accepting numbers nobody can explain.

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Where AI can help

Better answers need a dependable foundation.

Once data is connected and consistently defined, AI can offer another way to explore it. An employee could ask a question in natural language, investigate a trend, or find relevant information without starting a new report.

That is a possible extension, not a substitute for reliable data. We assess where it adds value and design access controls, checks, and human review around the intended use. Reporting and analytics remain useful whether or not you add an AI interface.

Haryn · The Netherlands

Which question takes your team too long to answer?

Bring us the recurring report, the conflicting numbers, or the sources that will not connect. Let's work out what a useful first step looks like.

Discuss a data platform