The future of your data with Databricks

We build and evolve your Lakehouse platform with Databricks,
taking it to the next level through advanced analytics and artificial intelligence.

What is your starting point?

We design with you an architecture based on Databricks’ Lakehouse approach, designed to grow at your pace. We define the governance model, automate processes, and help you deploy an agile, secure, and scalable data and AI infrastructure. An intelligent data platform, with AI integrated in all areas, where data and AI governance are fully guaranteed from the outset.

Our approach combines technical expertise, data governance, and accelerators that minimize risk and maximize return from day one. We guarantee continuity, performance, and a smooth adoption.

Your Lakehouse can do much more.
We optimize performance, unify management, and enable advanced analytics and AI use cases. From workflow automation to the operationalization of Machine Learning and Generative AI, we take your platform to its full potential.

We simplify the process

We cover all phases and empower your teams

Consulting & System Integrator Benefits:

– Direct access to Databricks technical resources.
– Early access to new features and updates.

Our certified team:

– Data Engineer Associate & Professional.
– Databricks AWS / Azure / GCP Platform Architect
– Databricks Generative AI.
– Platform Administrator.
– Cloud Native Spark Migration.
– Data & AI Governance.
– Gen AI & LLM on Databricks.

Governable, Secure, and High-Performance Lakehouse

– Design of custom architectures based on Delta Lake.
– Unified and secure governance of data, models, and AI assets with Unity Catalog.
– Seamless migrations and continuous performance optimization.
– Scalability and resilience so that your platform grows with your business.

Data Engineering that drives your business

– Reliable data flows that ensure availability and consistency in your Lakehouse.
– Design and implementation of ETL/ELT pipelines and streaming flows, making the most of load optimization capabilities.
– Automated and governed processes to ensure data quality and availability.
– Integration with cloud environments and analytical tools.
– Monitoring and operational support to maintain peak performance.

Operational AI: from Model to Production

– Unification of the Machine Learning lifecycle with MLflow and Unity Catalog.
– Unification of the LLM model lifecycle, both OpenSource and commercial.
– Complete governance of data, models, and features.
– Development and deployment of custom models and AutoML.
– Validation and auditing processes for reliable and secure AI.
– Integration of LLM-as-a-judge models from the start.

Ready to take the next step with Databricks?

Let’s talk about how to boost your transformation.