We connect your data, build pipelines you can trust, apply analytics and AI, automate the work in between — and ship the software your team actually opens.
The same run, every engagement — most cover more of it than expected.
PostgreSQL
Snowflake
Supabase
Python
TypeScript
Node.js
Next.js
React
OpenAI
Claude
Zapier
Google Sheets & ExcelEnd-to-end data, automation and software, built for real businesses — the messy inputs, the system around them, and what changed once it was running.
A distribution and services business rebuilt its reporting from a stack of spreadsheets every month. We built the ingestion, the warehouse and the authenticated portal the team now reads it all in.
OutcomeThe monthly rebuild is gone. Sales, margin and customer performance are current, in one place, behind a login.
A short assessment that scores a business, writes the analysis from those scores and delivers a branded PDF — without anyone touching it. Built for CAARMO, running for more than 120 coaches.
OutcomeA twelve-hour report cycle became minutes.
Our own product. Ad spend joined back to the revenue it actually produced — true ROAS, cost per acquisition and cost per booked job, by campaign, channel and location.
What it provesDesigned, built and still operated by us — we carry the consequences of every decision in it.
From messy source data to a production application, one engineering partner can carry the whole run.
Every layer above exists so this screen is right, current and trusted. If it only runs while someone watches it, it isn't finished.
You don't have to buy the whole run. Plenty of engagements are one layer — a warehouse, a set of models, a portal on top of reporting you already have. How engagements work →
Pick the one that sounds familiar.
Real customers, real data and a real cost of being wrong. The same engineering as a client engagement — data model, APIs, authentication, analytics and a front end somebody depends on.
Need something that doesn't exist yet? Internal tools, client portals and data products, built to the same standard.
Custom solutions
Eight years of data and analytics work across consulting, manufacturing, HR, finance and operations, and more than a hundred builds delivered. Small on purpose: you talk to the person doing the engineering.
The foundation is data engineering and analytics. Modern application engineering is what delivers the complete system around the data — not a dashboard and a set of instructions for keeping it alive.
“A company with forty people deserves the same reporting a company with four hundred has, and should not need a data team to get it.”
Tell us what is currently manual, fragmented or hard to trust. You will get a real reply from Ankush — whether it needs better data engineering, automation, analytics or a custom application, roughly what it takes, and whether it is worth doing at all.
Would rather just pick a time? Book a 30-minute call →