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Data platformData lake and data warehouse: your data, ready for AI.
We bring together the information that is scattered today across your ERP, your CRM, SharePoint, Excel and slide decks, then clean it, govern it and get it ready for analytics, dashboards and artificial intelligence.
What is a data platform for AI?
A data platform for AI consolidates, cleans and organizes your organization's data in a data lake, data warehouse or lakehouse, with data quality rules. N.Technology designs, implements and operates it on your infrastructure or in colocation in Mexico, so analytics and AI work from data you can trust.
From scattered data to a single trusted source.
Everything AI needs to work with accurate data instead of assumptions.
We connect your sources
ERP, CRM, databases, SharePoint, OneDrive, Excel, email and documents, with scheduled or real-time loads.
Data lake, warehouse or lakehouse
We choose the architecture based on your volume, use cases and budget, with open-source or vendor technology.
One meaning for your data
Metrics and entities defined once for dashboards, people and AI agents.
Who sees what
Catalog, classification and role-based access control, aligned with ISO/IEC 27001.
Ready to train and query
Structured data plus indexed and vectorized documents for AI models and knowledge bases.
Always up to date
24/7 monitoring of data loads, backups and performance as part of our managed IT services.
Use cases
- Executive dashboards with a single version of the numbers
- Training and fine-tuning AI models on your information
- Natural-language knowledge bases
- Process automation with AI agents
What clients ask us.
What is the difference between a data lake and a data warehouse?
A data warehouse stores structured, cleansed data for reporting and analysis. A data lake stores data of any type, including documents, images and logs, in its original form. A lakehouse combines both. We recommend the architecture based on your use cases.
What is a semantic layer and why does it matter?
It is the layer that gives your data a single meaning (sales, margin, customer) and serves it consistently to dashboards, applications and AI agents. Without it, every tool calculates differently and AI can get your numbers wrong.
Does my data have to leave my organization?
No. The platform can run in your data center or in colocation in Mexico, under your control.
Does my data need to be organized before we start?
No. We start from wherever your data is today, including Excel files and documents, and organize it as part of the project.
How long does a first use case take?
It depends on the number of sources. We start with a focused, high-value use case so you see results quickly, then grow in phases.