Rebtech AI Data Engineering

RAID — from requirements to finished data platform, faster than ever

No more months of programming and incomplete testing. RAID is Rebtech's AI-driven framework that takes projects from business requirements to a production-ready data platform — with generative AI that plans, builds and tests.

Requirements set the direction. RAID handles the execution.

RAID – Rebtech AI Data Engineering

Why RAID changes the game

Faster time-to-value

What used to take quarters is delivered in weeks. RAID works methodically step by step — doing the full job, every time, without missing a thing.

Full control, all the way

Every step is reviewed and approved before the next begins. No black box — it is always clear what is being built and why.

Quality built in from the start

Every activity is tested automatically. Every decision is documented. Nothing falls through the cracks.

Scales with ambition

Equally powerful for a brand-new platform as for extending existing solutions.

How it works

Requirements are defined. RAID does the rest — in clear steps with a review between each.

Requirements
Architecture
Design
Plan
Code
Test

Each step delivers a concrete result to review. No surprises. No long waits. Just progress.

New platform or existing system

New platform

RAID takes the project from a blank page to a finished solution, requirement by requirement, increment by increment.

Existing system

RAID reads the current solution, maps it automatically and starts building on top — without needing everything to be re-documented from scratch.

Migrate system

Legacy systems often go un-migrated due to high costs. With RAID it's done quickly at low cost.

Regardless of starting point, RAID is ready from day one.

The power behind RAID

RAID combines two layers of expertise:

Base skills

Rebtech's proven, platform-agnostic building blocks. The result of years of experience, packaged so generative AI can use them directly.

Custom skills

Tailored components for the specific project, system and way of working.

Together they form a development engine that is both fast and precise — adapted to reality, not the other way around.

Ready to build smarter?