What we do

Four pillars of capability

Each pillar delivers real technical depth focused on your business advantage.


Modernization & Migration

We move legacy platforms to modern stacks without disrupting operations. The critical system keeps running while the new one is built alongside: incremental releases, data preserved, team trained.

  1. 01

    Critical system stewardship

    Continuous operation of production platforms, with agreed SLA and a technical debt reduction roadmap. Your team focuses on product while we handle the back-end.

  2. 02

    Legacy migration

    Controlled exit from Delphi, Oracle, COBOL and legacy monoliths. Coexistence engineered over months, not improvised. Zero downtime even in critical windows.

  3. 03

    Data modeling & governance

    Schemas engineered to last decades, intact history and LGPD assured from day one. Schema migrations with tested rollback and explicit versioning.

Custom Engineering

Products built around your business model. From domain analysis to event-driven architecture. We cover the full engineering cycle, with code that ages well.

  1. 01

    Software development

    Web, mobile, transactional back-end, and event-driven processing. Stack chosen by fit to the problem, not by trend: Java/Spring, Node, Python, Flutter.

  2. 02

    Systems analysis & modeling

    Technical specification before code, domain modeling using the business's own vocabulary. We cut the rework that comes from assuming before understanding.

  3. 03

    Integrations & APIs

    RESTful, GraphQL, and event-driven APIs. Connectors between ERPs, SaaS platforms, and internal systems, with idempotency, observability, and versioned contracts.

Architecture, Cloud & Security

Systems that hold up under pressure. Distributed modeling, cloud with native observability, and security applied at the design layer, not as later remediation.

  1. 01

    Distributed systems architecture

    CQRS, event sourcing, sagas, and idempotency patterns applied where they make sense. Explicit trade-offs between consistency, latency, and operational cost.

  2. 02

    Cloud computing

    Infrastructure as code (Terraform), reproducible CI/CD, and end-to-end observability. AWS, GCP, and hybrid, always with FinOps auditing.

  3. 03

    Digital security

    Threat modeling, identity management (OAuth/OIDC), in-transit and at-rest encryption, and LGPD addressed at the architecture layer. Pentest and audit integrated into the SDLC.

Applied AI

AI connected to your operational core. Agents that query the ERP and internal databases via MCP, workflows with a human in the loop, and engineering teams prepared to integrate AI into existing pipelines.

  1. 01

    Agents connected to your systems

    MCP servers, function calling, and governed RAG over internal data. Models query ERPs, operational databases, and documents with audit trail and RBAC.

  2. 02

    Workflows & automation

    Orchestrated pipelines that classify, summarize, generate reports, and trigger actions. Human validation where the decision carries weight. Automation where the gain is clear.

  3. 03

    Engineering team enablement

    Workshops and mentorship on Claude Code, Cursor, applied prompt engineering, and productivity patterns. Teams measure impact on PRs, cycle time, and real velocity.

Be unique, be exclusive, be singular

Engineering that sustains your next decade

Products that stay relevant years after launch. Mission-critical system, strategic API or AI application, the foundation is the same: code that ages well.

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