Built for the work that ships.
Most data programs stall before they ship. Pipelines fragment, dashboards rot, models get stuck in notebooks. The work that survives the boardroom is rarely the work that survives Monday morning.
We started DAB Intelligence to close that gap — to deliver the full stack, under one engagement, with one accountable team.
Engineering, science, governance, and strategy aren't separate disciplines anymore. They're one workflow. We treat them that way.
How we work, in six commitments.
Audit before build
Every engagement begins with a fixed-scope diagnostic. We don't kick off six-month builds before we know what's actually broken.
Outcomes, not artifacts
Dashboards without decisions are wallpaper. Every deliverable is tied to a measurable P&L outcome before we start.
Ship in 30 days
The first production outcome lands within a month — a working dashboard, pipeline, or model. Momentum compounds.
Production-grade AI
Models are monitored, documented, explainable, and behind SLAs. No notebooks abandoned in someone's Drive.
Transfer the keys
We teach as we deliver. Python, SQL, decision-making — your team owns what we build long after we leave.
Respect the regulator
ODPC, GDPR, sector-specific frameworks — compliance isn't an afterthought, it's the floor we build on.
How we got here.
Founded
DAB Intelligence is founded on a simple thesis: clients don't need five vendors — they need one team that ships across the stack.
Audit framework v1
The data-maturity audit becomes our default entry point. Six dimensions, two weeks, prioritized roadmap as the output.
AI & Beyond expansion
The practice expands into generative AI, fractional CDO leadership, and ESG reporting — completing the "Beyond" pillar.
Open-source publishing
The audit framework, ETL templates, and forecasting toolkit go fully open-source under the "Data AI and Beyond" Medium publication.