AI consulting for companies Rosario, Argentina

Produce morewith what you have.

We come to your company, see how work gets done role by role, and find the repetitive tasks AI can automate. Then we measure each role's productivity, before and after.

Book a diagnostic See how we work

Your company's pulse, measured.

Starting point

Everything that happens in your company can be measured. Even what nobody measures today.

Often nobody knows how long it really takes to cut a piece, put an order together or enter an invoice, until a system starts logging it. So when something isn't measured, the first thing we do is start measuring it.

Activity log · example Logging

Cutting a pieceNo dataMeasured

Putting an order togetherNo dataMeasured

Entering an invoiceNo dataMeasured

No data Time measured

01How we work

We come to your company. We measure. We automate. We measure again.

Step 01
We come to you

We spend time at each role and talk with the people doing the work. We see how things really get done, not how the manual says.
Step 02
Diagnostic

We log every task, how long it takes and how often it repeats, and we measure the productivity of each role and each person.

You getA map of repetitive tasks and what's worth automating first.
Step 03
We automate

We start with whatever takes the most time or material, using AI connected to the systems you already use. A small pilot first.

You getAn improvement running in your operation.
Step 04
We measure again

A dashboard shows productivity before and after, by role and by person, every month. Whatever isn't paying off gets adjusted.

You getReal numbers to decide what's next.

02What we find

Almost every company loses on three fronts.

A · TimeRepetitive tasks

The same thing, by hand, every day.

Orders entered twice, spreadsheets copied into other spreadsheets, data moved from one system to another. That's what AI automates.

B · MaterialWaste

What gets thrown out and nobody measures.

Offcuts, expired raw material, defective parts, stock that doesn't move. We measure it and use AI to plan better and make the most of what you already have.

C · DataGut decisions

Nobody knows how each role performs.

The data is scattered or doesn't exist. We leave a productivity dashboard that updates itself, by role and by person.

03Example · Waste

Less waste, whatever the material.

The problem

Every company that makes something loses something: fabric, sheet metal or wood offcuts, raw material that expires, defective parts. Almost nobody knows how much.

What we do

We record what comes in, what goes out and what's left over. With that data, AI suggests how to plan for better use: what to use first, how to cut, what can be reused.

How it's measured

A dashboard shows, month by month, how much is produced, how much is recovered and how much is lost.

Material use · example 8 pieces2 offcuts reusedCalculating

New material

Offcut 01

Offcut 02

Waste Shrinks as offcuts get used

For example: at a company that cuts material to order, AI picks which new piece or which offcut each order should come from, to waste as little as possible. The same logic works for any material.

Fabric
Sheet metal
Wood
Glass
Leather
Paper and cardboard
Plastic
Food

Real cases

We have proven experience across industries. We'll show you the cases in the meeting or when we visit your company.

04FAQ

What people always ask us.

How do you measure each employee's productivity?

We observe the work at each role, log tasks and times, and cross-check them with what your systems already record. The team knows what we measure and why.

Does my data need to be organized?

No. We work with whatever there is: a management system, spreadsheets, paper, or nothing at all.

Does my data end up training someone else's model?

Not if you don't want it to. When needed, we use open models running on a dedicated server, and your data stays there.

We'll come to your company and show you where the time goes.

Book a diagnostic

or email us at [email protected]