Simplify analytics. Amplify growth.

Week one is discovery: we map your sources, find where reporting currently breaks, and agree the decisions the work has to support. From there we build in weekly increments, so you see something usable well before day 30 rather than a reveal at the end. You get a weekly progress meeting throughout, and by the end of the first month you have decision-ready reporting running on real data.

Yes. There's no contract and no minimum term — you can pause, adjust or cancel your subscription whenever you want. That's the point of the retainer model: if we stop being useful in a given month, you shouldn't be paying for it. Pricing stays the same each month you're active.

Retainer includes 150 hours a month with one active request at a time; Retainer Pro includes 300 hours with two to three concurrent requests and a dedicated BI team. If you're consistently hitting the ceiling on Retainer, moving up is usually cheaper than buying overflow. If it's a one-off spike, tell us and we'll scope it separately rather than quietly letting the queue slip.

You do. Everything we build for you — dbt models, pipelines, dashboards, documentation — is your property and lives in your infrastructure and your repositories. If you cancel, it all keeps running; nothing is hosted by us or locked to our accounts, and there's no handover fee to get your own work back.

We work with the minimum access required for the job, in your environment rather than copying data into ours. We're happy to sign an NDA before discovery and a data processing agreement before touching production systems. Where the work can be done against anonymised or sample data, we'll suggest that first.

Primarily Apache Airflow for orchestration, dbt for modelling and testing, Python and SQL for everything underneath, and Tableau, Metabase or Power BI on top — into whichever cloud warehouse you already run. We build in the stack you have rather than migrating you to one we prefer, unless the stack itself is the problem, in which case we'll say so.

Yes. We're based in Mumbai and work Monday to Saturday, 10 AM to 8 PM IST, which gives solid overlap with Europe, the Middle East and APAC, and early-morning overlap with the US East Coast. Weekly meetings are scheduled to suit your timezone, and async updates cover the rest.

Cost and start time, mostly. An in-house hire means salary, recruitment and weeks before anyone is productive — and you're locked into whatever that one person happens to be strong at. With us you start immediately, get senior-level people across engineering, modelling and visualisation rather than one generalist, and can scale up or stop without a redundancy conversation.

If you need someone on-site full time, if your data is small enough that a spreadsheet genuinely does the job, or if you want a one-off dashboard with no intention of maintaining it — a freelancer will serve you better and cost less. We're built for teams who need analytics to keep working and keep changing after launch.