From spreadsheets and chat groups to one application your company runs on.

Platinur is a data and AI engineering firm. We work with operations-led businesses: construction, distribution, manufacturing, services. We start with the data you already have, put it in order and in the right hands, then build the application your workflows run on.

Schedule a discovery callOur approach
01Understand the businessHow your company works day to day: the people, the handoffs between them, and where work slows down or gets lost.
02Assess the dataThe data you already have, checked for quality and gaps, with clear ownership of who writes each record and who reviews it. From this come the requirements and the workflows.
03Build the one place it runsWe put the data in order, then build one application for your workflows, with the right permissions and controls, so work moves out of spreadsheets, chat threads and inboxes into a single record.

How we help

Our approach

The assessment

A fixed-price engagement of two to four weeks that stands on its own. You receive a model of how your company works and where information is lost, a data quality and ownership report, and a blueprint of the application your workflows should run on, with where AI fits and a costed plan. Everything is yours to keep, whether or not we build.

What the assessment covers

The build

We turn the blueprint into the application your company runs on. The data comes first: fixed, completed and given clear owners. Then the application, one workflow at a time, with AI built in for specific jobs, and support as the company grows. Each phase has a fixed scope, and you can stop after any of them.

How the build runs

What changes

Where most companies start
Where we take them
Work is tracked in spreadsheets that one person keeps up to date.
Work is recorded once, in one application, as it happens.
Approvals happen in chat groups and leave no record.
Every approval has a named owner and a record.
The same figures are typed into two or three systems by hand.
Each record is entered once, by the person responsible for it.
Month-end reporting takes days, and the numbers are still questioned.
Reports come from the data and are available on any day of the month.
AI is on the agenda, but nobody can say where it would fit.
AI works inside the application, on data the company trusts, doing specific jobs.

Where AI fits

AI is only as useful as the data and the process underneath it. We put it inside the application, working on your own records, where it saves hours every week.

Drafting

Quotes, proposals, reports and routine correspondence prepared from your own records, ready for a person to check and send.

Reading documents

Invoices, delivery notes, site photos and emails read automatically, with the right details captured into the record.

Keeping records straight

Gaps, duplicates and figures that do not reconcile flagged before they reach a report.

Answering questions

Questions about the business answered from the data, in plain language, by anyone with the right permission.

Where the data is not yet ready for this, we say so in the assessment, and we start there.