Software engineering
Java, Spring, .NET, distributed architecture, and legacy modernization. Formal background in Information Systems plus years in mission-critical production systems.
About
About us
An engineering house building software that endures.
The team
Deep engineering, collective practice
We are engineers with long academic training and more than two combined decades of practice. We work together as colleagues who respect each other, not as vendors of hours; we debate architecture before typing code and review each other's decisions until they hold up.
The base is solid and broad: software engineering, data science, cloud, project management. We are not specialists in one thing we sell for every problem; we are technical generalists who learned when to reach for a specialized tool and when to keep it simple.
What it means for you: architecture before code, decisions grounded in reasoning instead of buzz, and the capacity to evolve with the problem. Every project that comes in carries the weight of everything we have shipped.
Areas we own
Capabilities built on real projects, backed by formal academic training, and continuously revalidated through delivery.
Data and applied AI
Pipelines, dimensional modeling, LLM integration, and AI workflows. Grounded in a Data Science and Big Data graduate degree and Deep Learning extension training.
Cloud and infrastructure
AWS, Terraform, Docker, Linux. Production environment operation with real observability, backed by AWS Cloud Practitioner certification.
Process and delivery
Scrum, project management, code review, and quality. Postgraduate degree in Project Management and practice validated on long deliveries that did not drift.