Ten questions, answered in full.
What does LookAit do?
LookAit is a data and applied-intelligence consultancy based in Córdoba, Argentina, working remotely with companies across the Americas, the UK and Europe. We rebuild the data architecture of businesses that already hold large volumes of data, and build end-to-end systems on Google Cloud — from extraction to dashboard — that turn that data into business decisions.
Who do you work with?
Companies, startups and agencies that already handle large volumes of digitised data and need to make more of it. Our proven ground is high-volume fintech. It isn’t a fit for small businesses that haven’t digitised their data yet.
What technologies do you use?
We work on Google Cloud Platform — BigQuery, Vertex AI, Cloud Storage and Looker — with Python and SQL for processing, machine learning and AI. We also build AI-agent systems.
How is this different from hiring an in-house analyst?
An analyst leaves you dependent on one person. We’re an external partner with a company’s accountability: a fixed budget, fully outsourced, no new headcount. And we bring an industrial-engineering read of the business process that a pure data analyst usually doesn’t.
How long does a project take?
A full cycle runs three to six months depending on complexity. The initial diagnosis — the first deliverable — takes around two weeks.
What does it cost?
Every system is bespoke, so the budget is fixed after the diagnosis, which defines scope, stages and a closed price. A share is paid up front and the rest on delivery, with optional monthly support afterwards.
Do I need my data to be tidy before we start?
No — tidying it is part of the work. The one thing you do need is data: a digitised base with enough volume. On top of that we handle the cleaning, the architecture and the analysis.
Do you build AI and agents?
Yes. Beyond analysis and dashboards, we apply machine learning and AI to your data and build AI-agent systems integrated into your processes.
Can you bring runaway cloud costs under control?
Often, yes. Poor data architecture is the most common cause of a runaway cloud bill. Rebuilding how data is stored, processed and queried can cut that cost sharply without losing accuracy.
What happens after delivery?
We hand the project over fully documented and usually continue with monthly monitoring and improvement, so the system stays alive and you stay covered as things change.