Pipelines that bring your app, payment, sales and ad data into one warehouse, with dashboards built on top.
Six ways we turn the data your business already has into numbers people use, from the first pipeline to the dashboard inside your product.
Every system's data brought into one place on a schedule: your app's database, payments, sales and ad tools.
One warehouse on BigQuery, Snowflake, Databricks or PostgreSQL, the raw data modelled into tables people can query.
Reports that live in spreadsheets, or a warehouse nobody trusts, moved to the new one with the numbers checked against the old.
Dashboards in Power BI, Looker or Metabase, built around the decisions each team makes, and the weekly report sent without anyone building it.
A tracking plan, the events wired into your web and mobile apps, and the funnels and retention that show what people do in your product.
Dashboards and reports your customers see inside your product, each customer seeing only their own data.
Six steps from the first audit to numbers your teams use every day, with a working dashboard early on.
Your business questions, the metrics that answer them, and every system that holds data.
Architecture, data model and metric definitions agreed, with dashboard drafts and an estimate that names the dates.
Your data pulled into one warehouse on a schedule, with quality checks on every load.
Reports and self-serve dashboards, with forecasts where they help.
Numbers checked against ones you already trust, and your teams trained to use them.
Usage reviewed, new questions answered, and the pipelines kept running.
Your business questions, the metrics that answer them, and every system that holds data.
Architecture, data model and metric definitions agreed, with dashboard drafts and an estimate that names the dates.
Your data pulled into one warehouse on a schedule, with quality checks on every load.
Reports and self-serve dashboards, with forecasts where they help.
Numbers checked against ones you already trust, and your teams trained to use them.
Usage reviewed, new questions answered, and the pipelines kept running.
The same eight things in every pipeline, warehouse and dashboard we build, so the numbers hold up when someone asks where they came from.
Tests on every run
Every load and model tested for duplicates, gaps and totals, and bad data held back, not shown.
Each metric defined once
Revenue, active users and churn mean one thing, written down, wherever they appear.
Freshness you can see
Every dashboard says when its data last arrived, and someone hears about it when it's late.
Every number traced
Any figure can be followed back through its models to the system it came from.
Access by role
Each team and customer sees the rows it should, enforced in the warehouse, not only on screen.
Personal data protected
Emails, names and card details masked or kept out of reach, to GDPR.
Costs kept in check
Warehouse and tool spend watched from the first load, with a monthly budget and an alert before it's passed.
Yours to keep
Pipelines, models and dashboards in your accounts and your repository, documented so any team can take them over.
Custom software development across industries: web, mobile and AI applications, built and security-audited by one team.
We also build software for insurance (insurtech), government (govtech), energy and media. If your industry is not listed, we can still build for it.
Three products of our own, measured, built and kept running by the team that would build your data stack.
Retail · SaaS
A point-of-sale system that keeps sales, stock and receipts together on till, tablet and phone.
Travel
A travel booking app whose AI assistant finds flights, hotels and trip ideas, through to a confirmed booking.
AI
An AI assistant for customer support and sales that answers questions and guides buyers.
What teams ask before they hand over their data, answered plainly.
Whatever it takes to get from your systems to numbers people use: pipelines that bring each source's data into one warehouse, the models and metric definitions on top, dashboards and scheduled reports, product analytics in your apps, and analytics inside your own product. Most projects start with a data audit and one dashboard, and grow from there.
For a first dashboard your database often does, read from a replica so reports never slow the app. A warehouse earns its place when data comes from several systems, history needs keeping or queries get heavy — then BigQuery, Snowflake, Databricks or PostgreSQL, sized to your volume and budget.
A licensed tool is usually right for internal dashboards: it's quicker to build and easier to change, and you may already pay for one. Custom dashboards make sense inside your product, where they have to look like the rest of it and each customer sees only their own data. Many projects use both.
Yes. We connect to the databases and the payment, sales, support and ad tools you run, and keep the warehouse or BI tool you already pay for where it fits. If something should change, you'll hear why and what it costs before anything moves.
Tests run on every load and every model — duplicates, gaps, totals that should match — and bad data is held back rather than shown. Each metric is defined once and written down, and before launch the new numbers are reconciled against your old reports.
BI reports on the business — revenue, orders, costs — from the systems that run it. Product analytics follows what people do inside your app: which features they use, where they drop off, who comes back. It starts with a tracking plan and events wired into your web and mobile apps, and both can sit in the same warehouse.
Yes. We build dashboards and reports into your app in its own design, or embed a BI tool, with each customer's data kept apart in the warehouse itself, not only on screen. Exports and scheduled reports can go to your customers too.
Only the data a report needs is copied, personal fields like emails and names are masked or kept out of reach, and access is set by role in the warehouse. We work to GDPR, and to your sector's rules where they apply. An NDA is signed before we see any data.
Usually you do: for client work, everything runs in your cloud accounts and your tools, the code lives in your repository, and it's documented so your team or anyone else can take it over. Ownership is set out in our agreement. We can keep running it for you, but you're never locked in.
It depends on how many sources there are, how clean their data is and what you need first. After a first call you get a written estimate with the scope, the price and the dates, and what the warehouse and tools would cost you to run.
