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@prod: ~/services
  • 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

proof of work

Systems clients can actually run

Real delivery notes from data and AI work.

mds@prod: ~/case-studies
1/4Case study 1 of 4: Modern BI and marketing analytics platform
~/case-studies/modern-bi-marketing-analyticsGlobal consumer appConsumer technologyanalyticsreal work

Modern BI and marketing analytics platform

Migrated legacy reporting from Looker Studio to Omni, rebuilt marketing ingestion, and put governed KPIs on Snowflake.

  • Snowflake
  • Omni BI
  • AWS
  • Meta Ads

12

BI tools evaluated before Omni was selected

problem

Legacy dashboards depended on Looker Studio and a third-party connector stack. Marketing teams needed trusted numbers, faster reporting, and a BI tool they could grow into.

build

Ran requirements discovery, evaluated 12 BI tools, chose Omni, built custom AWS connectors for marketing APIs, ingested data into Snowflake, reverse engineered dashboards, and modelled clean KPI layers.

impact

Delivered governed self-serve reporting for ROAS, CPA, CTR, LTV, attribution, and other KPIs, with infrastructure managed through Terraform and CI checks in GitHub Actions.

stack -- Snowflake / Omni BI / Looker Studio / AWS / Terraform / SQL / Python / Node.js / GitHub Actions / CodeRabbit / TikTok Ads API / Meta Ads API / AppsFlyer API / Google Ads API

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.

guest@mds: ~/shell

MDS shell v1.0

type 'help' for commands, or just ask about our work in plain English.