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
MABS Digital builds the AI infrastructure, digital transformation programs, and custom software that power market leaders.
Three disciplines, one team. Strategy through production, shipped in weeks not quarters.
LLMs, RAG pipelines, autonomous agents, and production machine learning systems — evaluated, monitored, and built to survive real traffic.
Cloud-native modernization of legacy stacks, with migration paths that don't stop the business.
Custom SaaS, full-stack products, and distributed systems built for scale from day one.
Clients include
JPMorgan Chase / Booking.com / TelevisaUnivision
See selected work →Transformation, compliance and AI work for global brands, plus a platform our founder built and sold.
JPMorgan Chase
Modernizing processes and platforms inside one of the world’s largest banks, with security and regulatory compliance built in from day one.
Security and compliance
A complete digital compliance governance program, including preparation for SOX and PCI DSS.
Audit readiness
AI-led digital transformation and R&D for ViX, TelevisaUnivision’s Spanish-language streaming service, to make the platform more secure and more automated.
Streaming transformation
Guana Eats · founder venture
Our founder Mauro started Guana Eats, a food delivery platform in Costa Rica, ran it for two years and sold it to Supercompro, the country’s largest supermarket chain.
By Supercompro
Four offices, one team.
Tap a pin on the map to see who's based there.
What clients ask us before working with an AI implementation consultancy in Amsterdam.
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.
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.
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.
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.
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.