01
Applied AI & ML
LLMs, RAG pipelines, autonomous agents, and production machine learning systems — evaluated, monitored, and built to survive real traffic.
- LLM & agent architecture
- RAG and vector search
- MLOps & evaluation
Amsterdam · AI & Software Studio
Build whatactually ships.
MABS Digital builds the AI infrastructure, digital transformation programs, and custom software that power market leaders.
APPLIED AI/DIGITAL TRANSFORMATION/SOFTWARE ENGINEERING/AMSTERDAM/APPLIED AI/DIGITAL TRANSFORMATION/SOFTWARE ENGINEERING/AMSTERDAM/APPLIED AI/DIGITAL TRANSFORMATION/SOFTWARE ENGINEERING/AMSTERDAM/
Capabilities
Three disciplines, one team. Strategy through production, shipped in weeks not quarters.
Digital Transformation
Cloud-native modernization of legacy stacks, with migration paths that don't stop the business.
Custom Software Engineering
Custom SaaS, full-stack products, and distributed systems built for scale from day one.
99.9%
Average uptime
3.2wk
Average time to first production deploy across engagements.
Selected work
Claims automation platform
Document intelligence and agent workflows for a European insurer.
62%
faster claims processing
Fleet optimization engine
Route and load ML models feeding a live logistics control tower.
18%
fuel cost reduction
Legacy core migration
Monolith to cloud-native services with zero-downtime cutover.
4x
faster release cadence
Custom SaaS build
Multi-tenant B2B product from blank repo to paying customers.
11wk
concept to launch
Global Presence
Four offices, one team.
Tap a pin on the map to see who's based there.
Tap a pin on the map above to see office details
Questions, answered.
What clients ask us before working with an AI implementation consultancy in Amsterdam.
/What does an AI agency actually do?
An AI agency like MABS Digital identifies where machine learning and large language models create measurable value in your business, then designs, builds and ships those systems into production — from retrieval-augmented assistants on your private data to automated internal workflows and production ML pipelines.
/How long does a typical project take?
A focused proof of concept ships in 2–4 weeks. A production AI implementation or custom software platform typically runs 8–16 weeks. We work in weekly increments, so you see working software in production throughout — not at the end.
/Do you work with international and remote clients?
Yes. We are based in Amsterdam and work remotely with clients across Europe, the US and the Middle East. Delivery is fully remote by default, with on-site workshops in the Netherlands when a project benefits from them.
/What does legacy system modernization involve?
We audit your existing architecture, map the technical debt and risk, then migrate workloads to cloud-native services (AWS, Azure or GCP) in incremental steps. Nothing goes dark: the legacy system keeps running while capability moves across.
/How do we estimate budget and timeline?
Every project starts with a free 30-minute discovery call. After we understand scope, complexity and team shape, we send a clear, fixed-scope proposal with timeline and budget. Contact us for any estimations — no hidden fees, no surprises.