The system your spreadsheets have been trying to be.
Most companies we talk to run on spreadsheets, WhatsApp threads, and an off-the-shelf CRM nobody fully configured. Orders live in one place, stock in another, and the one person who knows how it all connects is on leave. Off-the-shelf ERPs promise to fix this, then ask you to change how you work to fit their screens.
We build the system around your process instead. That starts with sitting down with the people who do the work and mapping what they handle every day: orders, quotes, approvals, stock, invoices. An engineer turns that into a PostgreSQL data model, permissions, and screens your team will actually open. Custom business systems typically go live in 3–8 weeks.
You see it early. There is a live clickable URL from the end of week one, updated continuously, plus a written update every day. The repository sits in your GitHub organisation from day one, so the code is yours whether or not you keep working with us.
A distributor whose order book is a shared spreadsheet with seventeen tabs. A services firm tracking projects across three tools that do not talk to each other. A manufacturer whose ERP quote came back at a number that made no sense for a company their size.
Established businesses are the usual fit, but startups engage this too, often when the operations side outgrows Notion before the product does. The honest test is simpler than company stage: if your process is stable enough to describe, it is stable enough to build for. If it changes every month, an off-the-shelf tool may still be the right call, and we will say so on the scoping call.
Scoped in writing. Delivered in your accounts.
Data model designed by engineers
An engineer maps how your orders, quotes, stock, and approvals move through the company, then designs a PostgreSQL schema to match.
Permissions and audit trail
Row-level security so a sales rep sees their own accounts, the accountant sees everything, and every change is logged with who and when.
Billing, invoicing, and GST
Invoice generation with GST handled correctly for Indian entities; anything touching money is designed and reviewed by an engineer, never shipped unread.
Migration from your spreadsheets
We import your existing sheets and exports with a dry run you can check line by line before cutover.
Integrations that survive failures
Connections to accounting tools, email, or a Shopify store run as background jobs with retries and a dead-letter queue, so a flaky API does not lose an order.
Reports from live data
The numbers someone currently assembles by hand every Friday, generated on demand from the same database the work happens in.
A 30-day fix window
Anything we built that breaks in the first 30 days is fixed at no cost; after that, optional monthly care you can stop any time.
Scoping call and fixed quote
We sign a mutual NDA the same day, before you share anything, then walk your process end to end. You get one fixed price in writing within 48 hours, and it does not change after kickoff.
Data model and first screens
The repository is created in your GitHub organisation on day one. By the end of week one there is a live clickable URL your team can poke at.
Build in the open
The URL changes daily and you get a written update every day. Your team clicks through real screens with real names on them and corrects us while corrections are cheap.
Migration, cutover, and the 30-day window
We import your data, run the old and new systems side by side, then cut over. Anything we built that breaks in the first 30 days is fixed at no cost.