Software engineering and AI services

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 an agreed SLA and a plan to reduce technical debt. Your team works on the product while we keep the system running.

2. 02

   Legacy migration

   Controlled exit from Delphi, Oracle, COBOL and old monoliths. The old and new systems run side by side for as long as needed, planned in advance, so operations do not stop.

3. 03

   Data modeling & governance

   Schemas designed to last, history preserved, and LGPD taken into account from the design. Schema migrations with tested rollback and explicit versioning.

Custom Engineering

Software built for your business, from domain analysis to running in production: web, mobile, back-end and integrations between systems.

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

Distributed systems architecture, cloud infrastructure with monitoring from the start, and security designed into the system rather than patched on later.

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 monitoring. AWS, GCP and hybrid environments, with cost tracking.

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 the systems your company already uses: agents that query the ERP and internal databases via MCP, workflows with human review where the decision matters, and training for engineering teams.

1. 01

   Agents connected to your systems

   MCP servers, function calling and RAG over internal documents. Models query the ERP, operational databases and documents with per-person permissions and a log of every access.

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 mentoring on Claude Code, Cursor, prompt engineering and working habits with AI. The team tracks the effect on PRs and cycle time.

To connect Claude to company data, we have a ready-made product: integras.digital. See the product →