Do I need data to do AI?

You need information suited to the task, though not always a large volume of proprietary data. We review the available sources, their quality and how they can be used.

How long does it take?

It depends on access to the sources, their quality and the integrations required. We define a useful first delivery and estimate the timeline after reviewing those conditions.

Data ready for your AI systems

We connect information from ERP systems, documents, spreadsheets and sensors so your applications and models can use it. We design extraction, cleaning and update processes, with checks to detect data issues.

The problem

Duplicate records, incompatible formats and outdated sources make both analysis and AI harder to use. Before building a model, you need to understand where the information comes from and how it is maintained.

What we do

Robust ETL and data pipelines.
Source unification and data architectures.
Dashboards and analytics for decision-making.
Data quality and governance.

Technologies

Python · PostgreSQL · ETL · Oracle · Azure · Power BI.

Who it's for

Companies with siloed data that want to exploit it before investing in AI.

Related project

A production data pipeline that unifies the ERP and feeds an API + frontend.

Frequently asked questions

Do I need data to do AI?: You need information suited to the task, though not always a large volume of proprietary data. We review the available sources, their quality and how they can be used.
How long does it take?: It depends on access to the sources, their quality and the integrations required. We define a useful first delivery and estimate the timeline after reviewing those conditions.