Make your data usable for AI
AI is only as good as the data it can reach. We organize, connect and govern your data so models and agents can trust it.
Your data is spread across an ERP, an e-commerce platform, spreadsheets and a few tools nobody fully owns. Before any AI project, someone has to decide which data is right, where it lives and who can use it.
Data Infrastructure
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Data architecture and pipelines
We design how data moves between your systems and into a place where it can be analyzed and used by AI.
Deliverables- Architecture diagram
- Pipelines in production
- Documentation
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Data governance and quality
We define ownership, quality rules and access policies, and automate the checks.
Deliverables- Data catalog
- Quality rules
- Access model
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AI-ready data
We prepare and structure the data each use case needs: product catalogs, order history, documents, operational records.
Deliverables- Curated datasets
- The process to keep them updated
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Reporting and analytics foundations
We give your team one reliable source for the numbers they already track.
Deliverables- Semantic layer
- Key dashboards
Celsur and Livriz Market: integrations that turned scattered system data into one synchronized flow.
Data Infrastructure feeds AI Systems and relies on Software Engineering for integrations and infrastructure.
Related disciplines
Do we need a data warehouse before starting with AI?
Not always. The audit tells you what the first use case actually needs.
Can you work with the systems we already have?
Yes. Most of our work starts from existing ERPs, e-commerce platforms and logistics systems.
Where does our data stay?
In your infrastructure or your cloud account. We design for your security and compliance requirements.
Engineering team · Argentina Let's look at your data together
30 minutes with an engineer. Bring one process you'd like AI to handle and leave with a first opinion on how to do it.
Or write to commercial@gauchocode.com