RAG and LLMs in production · digital luxury
RAG systems and production LLM architecture for a global luxury e-commerce platform. Shipped to production before ChatGPT existed.
About Praxis
Praxis is an AI and data consultancy for industry and energy in Portugal. It exists for one thing: turning AI's potential into measurable operational results — margin, hours freed, risk under control.
The name is not decorative. Praxis, from the Greek πρᾶξις, is the moment theory becomes action. That is precisely the gap we see in the market: reports, POCs and demos on one side; real operations on the other. Our work lives on that bridge — and is measured on the far side.
The team brings two decades building data, automation and AI platforms in operationally demanding environments: global consultancies, media at the scale of millions of users, international e-commerce and the energy sector. That experience now serves a single focus: industrial and energy companies in Portugal.
The pattern we find repeats itself: serious operations, competent teams, dozens of AI initiatives going nowhere. Technology is not what's missing. Method is.
That is why Praxis combines consulting with its own product. DataVault, our data quality intelligence platform, measures, monitors and prices in euros the foundation — the data — before any model reaches production.
We don't sell PowerPoints. We don't sell licences. We sell measurable results — in months, not years.
What's been built
Not PowerPoint case studies. Platforms the Praxis team built over two decades — they served millions of users and are still running. Here are the most relevant.
RAG systems and production LLM architecture for a global luxury e-commerce platform. Shipped to production before ChatGPT existed.
Architecture and operation of cloud-native data platforms (Azure, GCP) for a national utility. Powers smart grid analytics and predictive maintenance.
Technical leadership of big data platform for the largest media group in Latin America. 2018 presidential coverage delivered to TV, internet and newspaper simultaneously.
Establishment and management of Data Excellence Centre that trained 1500+ people in the first year. Talent developed from interns to mid-career transitions.
Migration and infrastructure optimization projects across AWS and Azure. Reduced operational costs and accelerated analytics delivery by 40%.
Governance and compliance frameworks (GDPR, energy sector regulation) on platforms processing petabytes of consumption and predictive maintenance data.
Team
Each project brings the right roles for the right phase. A permanent core team, with specialists mobilized as the project requires. No opaque subcontracting, no inflated timesheets.
Technical strategy
AI
Build
Data
Infrastructure
DevOps
Adoption
Operational
Design the end-to-end architecture. Decide semantic models, LLM/RAG integration, connectors, security and governance. Make sure the design holds up in production, not just demos.
Build data pipelines, ERP/CRM/SCADA integrations, model fine-tuning, quality validation. Code what architects design — and iterate against real operations.
Cloud (Azure, GCP, AWS), CI/CD, observability, security, compliance. Ensure SLAs, scalability, and that nothing breaks at 3 AM. Also the regulatory pillar (GDPR, sectoral).
User onboarding, training, documentation, KPI tracking. The piece many consultancies forget — without adoption, even the best AI is worthless.
Permanent core structure in Portugal. Additional specialists (security, vertical-specific, sectoral regulation) mobilized per project.
Principles
Strategy without hands is vanity. Hands without strategy is fireworks. We do both.
We don't sell licenses or commissions. What we recommend is what fits your context.
EBITDA, margin, cashflow, risk. Not models, not dashboards. Outcomes the board understands.
Automation doesn't replace people — it automates volume and frees humans for judgment.
Free 90-minute diagnostic, no commercial commitment.