Practice 02 · Data & AI
AI is only as good as the data under it. We make your data trustworthy first, then build the machine learning and LLM solutions that turn it into forecasts, automation and answers.
Five services that build on each other, delivered by one team, so the model at the end rests on data you can defend.
Decide which data matters, who owns it and which rules it follows, in line with GDPR, NIS2 and Chile’s Ley 21.719.
Clean, deduplicate, enrich and connect data from every system, so reports and models start from one version of the truth.
Models that predict demand, spot anomalies, score risk or plan maintenance, built on your own data and monitored once they're live.
Assistants and automations built on large language models, grounded in your own documents and systems, with access controls and security testing built in.
Dashboards and reports that management actually reads, built on numbers everyone agrees on.
Where data and AI pay back fastest: fraud, forecasting, maintenance and traceability.
With a short data audit: what you have, where it lives, how good it is and which decisions it should support. That gives a realistic roadmap before anything is built.
Not unless you want them to. We design each solution around your data rules, including private deployments where the data stays inside your own environment.
By grounding models in your own data, testing them before launch, and monitoring accuracy once they are live. Our cyber practice also tests LLM applications for prompt injection and data leakage.
It depends on what the system does and who it affects. We map your use cases against the Act as part of the design, so compliance is built in rather than added later.
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A forecast you don't trust, an assistant you'd like to build, or data scattered over ten systems.