We transform your company's data into insights and automations, using AI applied in a practical and secure way. We structure the database and implement models and solutions that generate value in production, not just in prototypes.

What we deliver

• Data/AI diagnosis and strategy (use cases and roadmap)

• Reliable analytics and key performance indicators (KPIs) for decision-making.

• Applied AI: predictions, anomaly detection, classification, and recommendations.

• Generative AI when it makes sense (internally based assistants/co-pilots)

• AI Operations: Deployment, Monitoring, Evaluation, and Governance

Expected outcome: faster decisions, more efficient processes, and intelligent use of data with control and reliability.

We build production-ready data pipelines and platforms, connecting your sources (systems, APIs, and databases) and delivering reliable, traceable data ready for consumption by BI, digital products, and AI initiatives. We work with modern ETL/ELT standards, choosing the approach best suited to your scenario and stack.

What we deliver

• Pipelines (ETL/ELT) with automation, retries, versioning, and documentation.

• Organized data layers (modeling and reliable datasets)

• Quality and observability of pipelines (monitoring health, delays, and breakdowns before they impact the business)

• Data governance: access, security, and availability policies to operate at scale with peace of mind.

Expected outcome: less data rework, more confidence in indicators, and a solid foundation for analytics and AI.

We design and implement cloud environments to make your operations more agile, secure, and scalable, focusing on stability and cost efficiency. We work from defining the architecture to deployment and operation, ensuring your systems run smoothly in production.

What we deliver

• Cloud architecture (AWS/Azure/GCP), hybrid environments and networks.

• Application migration and modernization (when necessary)

• Infrastructure as Code (IaC) automation, Computer-to-Create/Distribute (CI/CD), and environment standardization.

• Observability (logs, metrics, alerts) and reliability best practices

• Basic cloud security (IAM, segregation, backups, policies)

Expected outcome: infrastructure ready to grow, fewer incidents, faster deployments, and greater cost control.

We create and evolve digital applications with a focus on performance, security, and scalability, ensuring that your product is not only delivered but also remains stable and evolves with your business. We work from technical planning to operation, reducing risks and accelerating deliveries.

What we deliver

• Web systems development, APIs, and backends.

• Integrations between services and systems (APIs, queues/events when necessary)

• Application modernization and performance improvements

• Technical support: bug fixes, continuous improvements, optimization, and incident reduction.

• Good quality practices (testing, code review, observability)

Expected outcome: reliable applications in production, faster delivery cycles, and predictable maintenance.

We increase the stability and predictability of your production systems, reducing failures, incidents, and rework. We implement practices and tools to ensure continuous quality, complete observability, and governance of critical processes and data.

What we deliver

• QA strategy: automated testing, regression, integration, and performance.

• Observability: logs, metrics, traces, alerts, and operational dashboards.

• Reliability: defining SLAs/SLOs, incident management, and continuous improvement.

• Governance: standards, controls, auditing, and traceability (data and systems)

• Technical reviews to identify risks and points of failure.

Expected outcome: less downtime, faster diagnoses, safer deliveries, and controlled operation.