Do any of these sound familiar?
The following use cases illustrate typical data challenges we help organizations solve.
Every enterprise application, machine, and piece of hardware generates potentially valuable data. Most of it is never captured, never analysed, never seen.
We build the pipelines to capture that dormant operational data, structure it, and turn it into something your teams can actually act on.
CRM, finance, ops: all separate. When you need a report, someone exports everything to Excel, stitches it together, and hopes nothing breaks. It always does.
We connect your sources into one central data layer, refreshed automatically. Your reports keep working. Your team stops maintaining spreadsheets.
Sales says one number, finance says another. Two teams, two answers to the same question. Meetings turn into debates about which report to trust.
We fix the root cause, not the symptoms. One shared data layer, one set of definitions. Everyone works from the same numbers.
Your ops tool works great. Its built-in reports do not. Too rigid, too limited, and never quite answering the questions your business actually asks.
We extract the data automatically and make it available outside the tool. Custom reports that reflect how your business actually runs.
Contracts, reports, manuals, meeting notes: they exist somewhere. Finding the right one means digging through shared drives, email threads or asking the one colleague who might remember.
We transform your documents into an AI knowledge assistant. Instead of searching through files, simply ask a question in natural language and receive accurate answers with links to the original source.
The pressure to do something with AI is real. But without clean data and a clear use case, most initiatives stall in pilot mode or never leave the whiteboard.
We help you identify the right AI use cases, build the data foundation they need, and deliver the first tangible result. No hype. Just working AI.
What we do
We help organisations move from fragmented data landscapes to scalable platforms that support reporting, analytics and AI.
Consolidate
Bring all your data assets into a single, governed environment. One foundation your entire organisation can trust.
Automate
Replace manual exports and fragile pipelines with reliable, automated data flows that run without you.
Empower
Give your teams self-service access to clean, reliable data. Decisions driven by insight, not gut feel.
Data done right pays for itself.
What our clients typically see when it comes together.
- Reporting cycles go from days to hours
- 40-60 hrs/week recovered for a team of 5 analysts
- Equivalent to gaining 1-1.5 FTEs without extra headcount
- No more manual exports or broken spreadsheets
- Every number traceable back to its source system
- Standardized logic eliminates human error in reporting
- Role-based access reduces data leak exposure
- Avoids multi-million costs from inconsistent reporting
- 20-30% improvement in forecasting accuracy
- Unlocks Document AI, real-time analytics, and ML models
- Document processing: from €10-20 down to €2-5 per document
- Up to 500% faster document processing speed
Our approach
How we think about data engineering and why it matters for your business.
Data engineering is more than pipelines and tables.
It’s how we give data purpose. We design intelligent systems that connect, clean, and activate data so it flows effortlessly from source to decision, from decision to prediction.
Avoid small data gaps that create big blind spots.
In complex, fast-moving environments this leads to missed opportunities, delayed reactions, or inconsistent customer experiences. Our role is to close those gaps.
We build AI-ready data ecosystems.
Systems that learn, adapt, and scale. Enabling organizations to sense demand shifts earlier, act on insights faster, and personalize decisions at scale without sacrificing governance or reliability.
The result? Data that is trustworthy and fast.
Ready to fuel intelligence across your entire organization. From ingestion to transformation, from governance to analytics. We engineer data environments that think, grow, and last.
The stack we build with
Modern, cloud-native tools chosen for reliability, scale, and speed of delivery.
As Raltera is growing every day, so does our stack. If you can’t find the technology you’re looking for, feel free to reach out to us.
What makes us different.
Engineers who build data systems that hold up, and partners who stick around to make sure they do.
Deep expertise
Decades untangling complex data landscapes. We have seen every architecture, every legacy system, and every excuse for why the data is not ready. We know how to fix it.
People first
Great systems fail when people do not trust them. We design for adoption as much as for architecture. Your team actually using the data is the only outcome that counts.
Skin in the game
We co-build alongside your team and transfer knowledge as we go. We measure our success in your outcomes, not in delivered artifacts.
Johan Van Wyngene
CEO & FounderSurvived Y2K and three hype cycles. Now making sure the next one lands right.
Benoit Turbang
CTO & FounderFixes data problems before breakfast. Allergic to unnecessary complexity.
Bob Claerhout
COO & FounderSpent a decade debugging systems. Now debugs the whole organisation.
Contact
Have a question or want to explore how we can support your next project? Reach out and we’ll get back to you quickly.
Let’s talk
Tell us about your data or AI challenge. We read every message and reply personally.