DeepCode is an applied-AI, data engineering and software architecture consultancy. We take LLMs, RAG and agents into real systems — on microservices built to survive production.
$ deepcode deploy --target production ✓
Four practice areas, one standard: solid architecture first, real AI second. Nothing lands in your system without a clear path to production.
LLMs, RAG and agents integrated with your systems and your data — with evaluation, guardrails and cost under control. From pilot to product.
Design and evolution of microservices architectures: messaging, events, APIs and cloud. Systems that scale without becoming hostages of their own code.
Pipelines, modeling and AI-ready data delivery. Because no model is better than the data that feeds it.
Senior teams building what the market doesn't sell off the shelf — .NET/C#, Python and Node.js, across healthcare, government and international projects.
Long-term engagements, not drop-and-run projects. The cycle is always the same:
We map architecture, data and the real business problem — before talking about models. Sometimes the right answer isn't AI at all.
We define the architecture, contracts, evaluation and costs of what will be built. The pilot is born with its path to production already drawn.
We build, ship to production and stay: monitoring, continuous evaluation and evolution alongside your team.
DeepCode is building a proprietary generative-AI product, born from the experience of taking RAG and agents to production in real systems. Want to know when it ships — or influence what it solves? Join the conversation.
Six integrated cases on public Formula 1 data: a Rust telemetry historian (PIMS pattern, swinging-door compression), full-history ETL into DuckDB, an AI agent with RAG + SQL tool-calling, comparative dashboards, strategy ML and a Flutter app. The project page covers architecture, infrastructure, BPMN processes and a glossary.
DeepCode was founded by Rodrigo Manso, a solutions architect with 25 years of mission-critical systems — from public administration platforms used by major Brazilian cities (Curitiba, São Paulo, Fortaleza) to healthcare systems and international AI projects.
Tell us your context in two lines. The first conversation is an honest diagnosis — including when the answer is "not yet".
contato@deepcode.com.br