accelerate
when you know what to do and need more hands.
Senior embedded teamsSenior capacity from week one.
A team working alongside you, without adding headcount or waiting months to build it. Your execution arm.
data and applied AI services in Chile and Latin America: assessment, data engineering, predictive models and automation
your data and your team, as far as you want to take them.
Nobody here wins by selling you a tool. So you only get what your problem needs, with the technology and tools that solve it. The right dose. No more, no less.
Whether it runs in your cloud or ours, your data, your code and everything needed to run them are yours from day one. If you decide to carry on alone, you take it all with you. Secure by design, with someone accountable for every result.
your datawhen the problem is in the information. Three stages, from seed to data.
01 · 4 services
define
when you don't know where to start.
Data assessmentKnow where you stand.
In weeks, the real picture of your data and your team: infrastructure, sources, reporting, governance, skills, culture. Gaps, a roadmap and a business case you can defend.
Data architectureBuy only what you will use.
Cloud, data warehouse, tools: what to buy and what to build for what comes next, with nothing to resell you.
Data platform optimizationStop overpaying for the cloud.
Where your money and your time go between the cloud, the pipelines and the queries, and what to change.
Migration discoveryMigrate without a leap in the dark.
Before you switch BI tool, cloud or data warehouse: how to do it, what you can reuse and what it will cost.
02 · 7 services
evolve
when your data can't keep up with what you want.
First data warehouseStop consolidating by hand.
Everything in one trusted base that grows with you, instead of spreadsheets someone cross-checks every month.
Data warehouse evolutionGrow without starting over.
New sources, business units or group companies join the model you already have.
Data integrationSystems that talk to each other on their own.
Starting with the ERP: SAP data, usable and up to date. And outside sources, market, customs or suppliers, come in as if they were yours.
Master dataNo rejected orders, no double payments.
Every customer and every product exists once across the whole company, in every system.
A trusted foundation for AIAI that answers from real data.
For the assistant, the agent or the Copilot you have tried or are about to use: a common language for your data, one definition per metric, permissions and traceability. So you can stand behind what it says, and every team arrives with the same number.
Data in plain languageAsk your data in your own words.
Answers you can trust from your data warehouse, with one definition per metric and a record of who asked what.
Information deliveryData that reaches whoever decides.
A dashboard, an alert, an email or an API: the channel each decision needs. Reports people open and use, not reports that get filed away.
03 · 3 services
solve
when there is money at stake in a concrete problem.
Predictive modelsAnticipate instead of react.
With the model running inside your operation: demand, customer churn, suggested orders, campaign prioritization, who to collect from first and through which channel, or a critical process variable before it drifts out of range.
AI automationGrow without hiring for the same work.
What someone reviews by hand today, solved with AI and judgment: reimbursements, benefit matching, product classification.
Data productYour data, turned into a product.
The thing you could offer with your data, or the tool your team needs and doesn't exist, built: an API so your customers can query their own information, a market intelligence platform, a continuous audit tool that runs the rules for you.
cross-cutting · at any stage
your team
when the problem is capacity, know how or time. Not one more step: it supports any of the three stages.
master
when you want your team to do it on its own.
Training on real dataSo your team can carry on without us.
Your team learns on its own data and projects, in its own tools: Power BI, dbt or Glue, for instance.
how it is built
what gets built, you can stand behind.
AI speeds things up. Decisions have a name.
The team works empowered by AI, but no decision is delegated to it. Every judgment call, every delivery and every result has a person behind it who is accountable for it. And in your solution, AI comes in only when the problem calls for it.
What AI speeds up, your project gains.
With AI, the team integrates, models, reports and operates faster, always with specs, tests and documentation. That time is not lost: it goes into designing a better solution, caring for every delivery and understanding your business in depth.
Commitments you can hold us to.
What success means is agreed with you before building. Nothing reaches you without being tested end to end on your real data. You always know what is being done, why and what comes next. And if something unexpected comes up, all of Datalized is behind you to unblock it.
Privacy by design.
Protecting your data shapes the architecture from day one, it is not added at the end. Each role sees only what it should, sensitive data is protected at the source and there is a record of who accessed what. Your team and your AI work on safe data, and you can prove it. Designed to comply with Chile’s Law 21.719.
ways to work together
Fixed-scope project
- When it fits
- the problem is well defined and you want a result with a fixed date and price.
- Timeline
- milestone by milestone, in weeks.
- What you get
- the solution tested on your real data, code and documentation that are yours, and one accountable owner by name.
Embedded team
- When it fits
- you need senior capacity from week one, without adding headcount.
- Timeline
- monthly and ongoing, scaling with your roadmap.
- What you get
- a team inside your operation, and a clean handover when you want to carry on alone.
Tell us the pain, not the technical requirement.
let's talk about your case