Data Rescue

Before artificial intelligence, data. We rescue the information your company has scattered across Excel, folders, PDFs and emails, and centralize it in a modern, well-organized database ready to work with AI.

Scattered spreadsheets, folders, PDFs and emails turned into a modern, well-organized database ready for AI

The problem

Your data is everywhere. And nowhere.

Years of work stored in Excel spreadsheets that only the person who built them understands, folders with thousands of documents, PDFs and emails holding information that exists nowhere else. All of that is very valuable. But scattered like this, it can’t be searched, it can’t be cross-referenced and it can’t be connected to anything.

That’s why modernization gets postponed year after year. Not for lack of will, but for lack of a starting point: nobody types tens of thousands of data points by hand without making mistakes.

Without organized data, AI has nowhere to get its answers from. First the data is rescued; then comes AI.

Our approach

It’s not just AI: it’s database craftsmanship

Rescuing data isn’t running documents through an artificial intelligence and hoping something organized comes out. It’s the work of programmers, software builders and database experts: understanding what each piece of data means, how it relates to the rest and where it has to live.

Our founder has more than 40 years of experience building management software. That experience shapes how the database is designed. Artificial intelligence helps us extract and organize information on a scale that would be unfeasible by hand.

How we do it

From the folder to the database

1. We go through everything

Excel, Word, PDF, images, emails and folders. We see what’s there, where it is and what’s worth rescuing.

2. We extract and organize

Every piece of data is extracted, cataloged and structured, with its relationships. Anything unclear is reviewed by a person.

3. We centralize it

In a modern, sensible and efficient database system: the management program you already use, or a new database if needed.

4. We get it ready for AI

With the data in place, it’s connected to artificial intelligence through smart connectors, and you can ask your company questions by text or by voice.

A real case

25,000 analysis parameters, inside its ERP

A plant nutrition manufacturer present in more than 50 countries: we brought 25,000 analysis parameters into its ERP.

With that foundation in place, the next step followed. Today its Robust Autopilots receive requests by email, understand them, and generate and return the certificate of analysis, always with a person in charge. Its regulatory department went from hours to minutes.

Your data, with the law first

Before we touch a single piece of data, everything is signed

Before we touch a single piece of data: non-disclosure agreement and data processing agreement signed.

Every project goes through a regulatory compliance review (data protection and the EU AI Act) with our data protection and compliance partner Forrellat Consultors, a Data Protection Officer registered with the AEPD.

The first step

It all starts with a diagnosis

Diagnosis

Before rescuing anything, we study what data you have, where it is and what’s worth bringing into the database. That way you know from the start what will be done and what it will cost.

Where is your company’s data today?

Tell us how you work and where you store the information. We’ll tell you where we would start.