Team and methodology: architecture, judgement and execution
We design systems that solve real problems. We think architecture before trends.
What we believe
Our principles drive every technical decision. We don't follow trends, we follow judgement.
Think before building
Every line of code must answer a real problem. We don't build for the sake of building.
Architecture as the foundation
Technical decisions grounded in scalability, maintainability and performance.
Technology serving the business
The tech stack must enable strategic objectives, not dictate them.
How we work
We understand the context
Deep analysis of the technical and business problem. Conversations with stakeholders and technical teams.
We design the architecture
Documented technical decisions. Stack justified by requirements, not trends.
We build with quality
Maintainable code, automated testing and mandatory code review. No shortcuts.
We evolve with data
Continuous monitoring, performance metrics and optimisation based on real behaviour.
We understand the context
Deep analysis of the technical and business problem. Conversations with stakeholders and technical teams.
We design the architecture
Documented technical decisions. Stack justified by requirements, not trends.
We build with quality
Maintainable code, automated testing and mandatory code review. No shortcuts.
We evolve with data
Continuous monitoring, performance metrics and optimisation based on real behaviour.
We don't follow trends
We pick tools by architecture. Each technology must solve a specific problem.
Use: Static typing across the stack
Why: Reduces production errors and improves code maintainability
TypeScript
Use: Static typing across the stack
Why: Reduces production errors and improves code maintainability
Use: Reactive, component-based UIs
Why: Mature ecosystem with predictable performance and a wide talent pool
React
Use: Reactive, component-based UIs
Why: Mature ecosystem with predictable performance and a wide talent pool
Use: High-performance APIs and microservices
Why: Non-blocking event loop ideal for real-time I/O-intensive applications
Node.js
Use: High-performance APIs and microservices
Why: Non-blocking event loop ideal for real-time I/O-intensive applications
Use: Relational persistence and complex queries
Why: Proven reliability in enterprise environments with full ACID support
PostgreSQL
Use: Relational persistence and complex queries
Why: Proven reliability in enterprise environments with full ACID support
Use: In-memory cache and message queues
Why: Sub-millisecond latency that improves response times
Redis
Use: In-memory cache and message queues
Why: Sub-millisecond latency that improves response times
Use: Container orchestration and auto-scaling
Why: Automatic horizontal scalability and zero-downtime deployments
Kubernetes
Use: Container orchestration and auto-scaling
Why: Automatic horizontal scalability and zero-downtime deployments
Use: Cloud infrastructure and managed services
Why: Largest service catalogue with global presence in 30+ regions
AWS
Use: Cloud infrastructure and managed services
Why: Largest service catalogue with global presence in 30+ regions
Use: Declarative infrastructure as code
Why: Full environment reproducibility and audit of infrastructure changes
Terraform
Use: Declarative infrastructure as code
Why: Full environment reproducibility and audit of infrastructure changes
Systems designed to scale
Each layer has a purpose. Click any block to explore our reference architecture.
Select a layer to see the technical detail
Multidisciplinary and technical
Team experienced in architecture, development and product.
Software architects
Design of scalable systems and strategic technical decisions
Full-stack engineers
Development of robust applications with testing and CI/CD
Product managers
Alignment between business goals and technical execution
We design systems that scale
Not projects that expire. Architectures designed to grow and evolve.
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