One system, shaped around your business

No more reconciling three systems that each think they hold the real number.

• Data lives in one place
• Every module reads from and writes to the same source
• When something changes, it changes everywhere at once

An action in one part of the business sets off the right reactions everywhere else.

• A sale updates stock
• Stock hitting a threshold raises a reorder
• A completed job triggers an invoice
• Event driven, with no one copying data by hand

We work directly with the serious APIs.

• Shopify's admin interface, for stores at real scale
• Point of sale systems, payment providers and messaging platforms
• Catalogues of tens of thousands of products, kept in sync

Integrations fail in ways that are easy to miss.

• A webhook that arrives twice
• A call that times out mid update
• Idempotent handling and safe reconciliation, so a hiccup never corrupts your data

The real wins are whole workflows that run end to end without anyone touching them.

• An order comes in and gets routed
• Stock updates and the right person is notified
• It lands in the day's report, all on its own
• Reliable background processes that run on time, every time

Automation you can't trust is worse than none. You stop checking, then it fails quietly.

• A proper job queue, with retries and clear logging
• Every process either completes or tells you why it didn't
• You always know it ran

We use AI for the things it's genuinely good at.

• Reading and sorting messy input
• Drafting the first version of something
• Spotting patterns a person would miss in a sea of rows
• Placed deliberately, for real leverage instead of novelty

The point isn't to remove people. It's to stop wasting them on work a system should be doing.

• Your team's hours go on judgement and relationships
• And on the decisions that actually move the business

Before anything gets built, we design a data model of how your business really works.

• The entities, the relationships, the states an order moves through
• Normalised relational schemas in PostgreSQL
• Clear state machines, so it stays correct as it grows
• Get it wrong and no amount of nice interface saves it

You own the code, the data, and the roadmap.

• No per seat pricing that punishes you for growing
• No vendor deciding to sunset the feature you depend on
• A modern, well supported stack, handed over with the source

A platform people use all day has to feel instant.

• Considered rendering and sensible caching
• Queries that stay quick as the tables get big
• Speed decides whether your team reaches for a tool or avoids it

Security is part of the architecture from the first day, not bolted on at the end.

• Role based access, so people see only what they should
• Proper authentication with signed tokens
• Sensible handling of the data that matters