Can you work with our existing data stack?

Yes. We improve what you have where it works, and replace only the parts that cause real problems.

AI & Data

Data engineering

We bring data from every system into one well-modelled platform, so reporting, analytics and AI all start from the same trusted numbers.

What you can expect

Project · typically 2–6 months

01What's included

Reliable pipelines and warehouses that make your data trustworthy.

01
Data platform architecture
A warehouse or lakehouse sized for your data and budget.
02
Pipelines
Batch and streaming pipelines from every source system.
03
Data modelling
Clean, documented models that match how the business thinks.
04
Quality & governance
Tests, lineage and access controls that keep data trustworthy.

02Is it right for you?

Ideal for

Not sure it fits? Book a free 30-minute call and get an honest answer.

Typical stack

03How we deliver

01
Discover
Typically 1–3 weeks
We map your goals, users and constraints, then define what success looks like in numbers.
02
Design
Typically 2–4 weeks
Architecture and experience are designed together, so the product is beautiful and buildable.
03
Build
Two-week sprints
Senior engineers ship in short, demo-able sprints with automated testing from day one.
04
Launch
Typically 1–2 weeks
Hardened, monitored and documented: we go live with a rollout plan, not a leap of faith.
05
Grow
Ongoing
SEO, paid acquisition and product analytics compound the value of what we built together.

04Proof

Much of this work is under NDA.

Tell us about your project and we will share relevant examples and references on a call.

05FAQ

It depends on your cloud, data volume and team. BigQuery, Snowflake and PostgreSQL each fit different situations, and we explain the trade-offs.