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You have the data. Nobody can see it.

Sales sit in one program, stock in another, costs in a spreadsheet, and decisions get made on last month's table. We build dashboards, a daily report and alerts on your own data, which can run on your own server, with AI that tells you in plain words why a number moved.

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In-house AI Analytics

What we measure4

  • Time from question to answertracked
  • Age of the numbers you decide ontracked
  • Time to notice a problemtracked
  • Hours of manual reportingtracked

The problem

Decisions that run a month behind

By the time a number reaches the manager's desk, the thing it describes has already happened.

  1. 01

    Last month's spreadsheet

    Receivables went overdue three weeks ago and stock ran out on Sunday, but the report that shows it arrives at the end of the month.

  2. 02

    Data nobody can see

    Every system holds a piece of the picture. No one has ever put the pieces next to each other, so the picture stays in pieces.

  3. 03

    A report only one person can build

    When that person is away, nobody knows where the numbers come from, and every new question starts a day of manual work.

What we build

What we build

Not another subscription dashboard that sends your data to someone else's cloud. A reporting system built for your company, which can run on your own server.

  • 01

    Dashboards for each role

    The owner sees the whole business, the sales manager sees sales, the storekeeper sees stock. Each view shows only what that person decides on.

  • 02

    A daily manager report

    A short summary of yesterday's numbers arrives every morning by SMS or messenger, so you know the state of the business before the first meeting.

  • 03

    Alerts that find you

    Low stock, overdue receivables or a number far from its usual range triggers a message, so nobody has to remember to look.

  • 04

    Read-only where it matters

    We can connect to your existing software with read-only access, so the analytics can look at your data without being able to change it.

  • 05

    On your own server, if you want

    The data and the reports can stay on infrastructure you control, instead of going to a third-party dashboard service.

  • 06

    One picture from many sources

    Sales, stock, accounting and your CRM are brought together, so one question can use all of them.

How AI helps

How AI helps

A dashboard shows a number. AI tells you what is behind it, and what to look at next.

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  1. Explains why a number moved

    Sales dropped this week? It looks across products, branches and customers and tells you where the change came from.

  2. Spots anomalies

    Learns what normal looks like for your business and flags what doesn't fit: a sudden discount, a jump in returns, a customer who stopped ordering.

  3. Forecasts what's coming

    Projects demand and cash flow from your own history, so you plan purchases and payments before the pressure arrives.

  4. Answers in plain language

    Ask "Which customers owe us the most and are late?" and get the answer with the figures behind it, without building a report.

Outcomes

What changes

Before we build, we agree with you on what to measure. These are the numbers we track together:

01Time from question to answer
How long it takes to get a number you asked about. With live data and plain-language questions, it no longer needs a person and a spreadsheet.
02Age of the numbers you decide on
How old a figure is when it reaches the manager: last month, last week or this morning.
03Time to notice a problem
The gap between something going wrong, such as an overdue receivable or a stockout, and someone finding out.
04Hours of manual reporting
The time your team spends each week assembling reports by hand, which automatic reports take over.

Start here

See what your data already knows.

The free AI opportunity map starts with the decisions you make every week: which numbers they rely on, how old those numbers are and what to put on your first dashboard.

Get your free AI opportunity map