Data engineering and AI agency
Data engineering and AI systems that ship.
mds deploy --prod
Our clients
- P&G
- Onebright
- Strava
- Runna
- Venatus
- Payvyne
- Tarabut
what we build
Prove it in days, run it for years
A real-world proof of concept in days, not weeks. The same build then hardens into production: tested, secure, observable.
- mds poc --real-dataa live slice of your stack, on your data
- mds build data-platformwarehouses, pipelines, dbt, streaming
- mds ship ml-systemsLLM apps, RAG, evals, MLOps
- mds run analyticsBI, activation, decision tooling
- mds hire embedded-teamsenior engineers inside your org
- # where few agencies go
- mds secure agentsred-team, sandbox, and audit LLM agents
- mds prep quantumpost-quantum crypto, QPU pilot studies
- mds audit ai-actEU AI Act readiness, engineered as code
process
How we work
~/discover
Map the terrain
We start inside your stack, not a slide deck. One or two weeks reading code, tracing data flows, and interviewing the people who feel the pain. You get a written assessment with costs and risks, whether or not we continue.
~/build
Ship in weeks
Small senior team, production from day one. Infrastructure as code, tests, observability, and documentation are the default, not a phase two. You see working software every week.
~/run
Leave you stronger
We operate what we build until your team owns it. Handover means runbooks, training, and pairing, not a zip file. Success is when you no longer need us.
talk to us
The MDS shell
A live assistant that knows our work. Ask it anything about MDS, or type help for the boring commands.
MDS shell v1.0
type 'help' for commands, or just ask about our work in plain English.