Analytics Engineering • for fintech / SaaS / data-driven SME

Your competitors are making decisions faster than you.

Not because they have better instincts — because they have better data. We build analytics infrastructure that turns your raw data into a competitive advantage, in weeks not quarters.

Book a free 30-min strategy call See how it works

5+ years in fintech data First insights in week one Free call — no pitch

The problem

Sound familiar?

These are the conversations happening in boardrooms across every data-driven industry right now.

Our dashboards show different numbers

Different teams are working from different realities. Decisions are made on whoever shouts loudest.

It takes two weeks to answer a simple question

Your highest-paid people are waiting on data that should already exist.

We're growing fast — and our data is falling apart

Three years ago you knew every number off the top of your head. Now nobody does.

We bought the tools. Nothing got better.

Fivetran, Airflow, GCP, AWS — all live. Still no one trusts the numbers.

Industries

Built for companies where data is the product

We work with businesses where a bad data pipeline doesn't just slow you down — it directly affects what you deliver to customers.

Fintech & payments

Insurance & risk

Healthcare & life sciences

SaaS & product analytics

E-commerce & retail

Logistics & supply chain

Investment & asset management

Legal & compliance tech

What we do

End-to-end data coverage

Most companies have the data. Almost none have it working end to end.

01 · Ingest

Raw sources

APIs, databases, event streams.

Python Airbyte Fivetran

02 · Store

Landing zone

Cheap, queryable, auditable raw storage.

GCS BigQuery S3 Redshift

03 · Transform

Clean & model

Tested, documented models your team trusts.

dbt SQL

04 · Insight

Decisions

Dashboards leadership actually reads.

Tableau Looker Power BI

One person owns the whole thing. You always know who's responsible.

Why not AI?

There's no AI product that does this. Not yet.

You can ask ChatGPT to write a SQL query. You can use Copilot to clean a script.

But there is no AI product — from any company, at any price — that will connect to your raw sources, understand your business context, build a reliable pipeline, model your data correctly for your industry, and have clean, accurate insights ready on your dashboard every morning. That end-to-end process requires someone who knows your business, makes judgment calls at every step, and takes ownership of the outcome. That's what we do.

Services

Start free. Engage when it makes sense.

Start here

Free strategy call

We look at your data setup, identify where it's costing you the most, and tell you exactly what to fix first.

You'll leave with a clear picture — whether you work with us or not.

Free30 minutes

Data stack audit

A thorough written review of your pipelines, models, and reporting layer. You get a prioritised action plan — specific, sequenced, and ready to hand to your team.

Delivered async

Hands-on consulting

We work directly inside your stack — building pipelines, modelling data in dbt, and setting up reporting your team can own long after we're gone.

Fixed scope

How it works

Three steps from first call to first result

Book a free strategy call

Pick a slot that works for your timezone. 30 minutes — we diagnose your current data setup and tell you exactly where to focus.

Walk away with clarity

You get specific, actionable recommendations on that call — whether you engage us further or not.

Engage on your terms

If the audit or consulting engagement makes sense, we scope it clearly and get to work. Fixed scope, transparent pricing, no surprises.

Case studies

Real work. Measurable outcomes.

Every engagement is confidential — these are the patterns and results, not the names. The problems are real; so are the numbers.

Dimensional modelling

Client 360 data model for a regulated fintech

90% of business questions about clients answerable directly from the modelled layer — no raw SQL digging

Compliance, commercial, and ops teams aligned on one shared definition of a "client" for the first time

Reduced ad-hoc data requests by removing ambiguity at the model level

90%

Of client questions answered by one model

Source systems unified into one model

Marketing data activation

Braze integration — powering personalised customer comms at scale

Eliminated manual export process — marketing team fully unblocked from engineering

Campaign segments built on current data rather than week-old spreadsheet exports

Consistent customer attributes across CRM, analytics, and comms for the first time

Manual exports — fully automated pipeline

Live

Segment data synced on schedule, not on request

Paid marketing · Data activation

Supermetrics integration — closing the loop between warehouse and paid channels

Warehouse-defined audiences activated directly into paid channels — no manual list uploads

Full-funnel attribution across acquisition and retention spend became possible for the first time

Marketing team could act on customer behaviour within hours, not weeks

Manual list uploads — audiences sync automatically

Full

Funnel visibility across paid channels

Ready when you are.

Book a free 30-minute call. We'll find the gaps, prioritise the fixes, and give you a clear path forward.

Usually responds within 24 hours