Raw public procurement data is voluminous, inconsistent, and hard to act on. We built a pipeline that ingests, normalizes, and enriches it, then turns the result into clean monthly signals feeding a newsletter and a small dashboard product.
Work that turns into infrastructure.
Client names stay private; the work is real. Most of what we ship runs daily in the background for years, built around how the people using it already think about the job. A few of those things, below.
A client needed 1,000–2,000 businesses in a region with verified physical addresses — to a quality bar most off-the-shelf lists miss. We built tiered sourcing that hit that bar inside the API cost limits, and delivered a clean, spec-ready dataset with provenance per row.
Static survey forms were slowing product research and burying the interesting signal. We designed an AI-moderated feedback experience that adapts per session, follows up on its own, and drops into the product where it matters — no separate tool to learn.
A restaurant group's daily sales, cost, and inventory reports were stuck behind a legacy POS with no API and pulled by hand every morning. We built a cloud automation that logs in, extracts the reports, and loads a warehouse — every day, untouched, with structured alerts when something looks off.
Tools we reach for.
We pick tools that hold up under a long-term, low-touch engagement. Boring is a feature.
Have something you'd like to quietly automate?
Tell us what's noisy. We'll send back a scope.