We choose the technology partners and strategic alliances that fit each project
We work with leading data and artificial intelligence platforms. We select the solution that best fits each client, each team and each goal. We collaborate with the tech and academic ecosystem to stay close to innovation and talent.
Technology partners
Partners. Unified lakehouse. Data engineering, ML and GenAI on a single platform.
Partners Azure, Power BI, Copilot and Dynamics. Microsoft Partner for AI solutions..
Cloud Data Warehouse. Elastic storage, data sharing and scalable analytics.
Cloud infrastructure. Compute, storage and managed services for data and AI.
BigQuery, Vertex AI and Looker. Cloud-native for analytics and artificial intelligence.
ACID layer on top of Data Lakes. Time-travel, schema evolution and open format (Parquet).
Enterprise ERP. Integration of SAP data with cloud analytics platforms.
Distributed processing engine. Batch/streaming pipelines and ML training at scale.
Open table format for Lakehouses. ACID, time-travel and hidden partitioning.
Version control and CI/CD. The standard for data engineering and MLOps.
End-to-end DevOps platform. Repositories, CI/CD pipelines and project management.
Infrastructure as Code. Automated provisioning and management of multi-provider cloud environments.
BI with semantic modeling (LookML). Dashboards and data exploration on Google Cloud.
Data visualization and interactive dashboards. Self-service analytics for the business.
Unified governance in Databricks. Metadata, permissions and lineage in a single catalog.
Data Governance. Catalog, quality, lineage and compliance in enterprise environments.
Microsoft's cloud. Data services (Synapse, Fabric), AI (Azure OpenAI) and analytics.
Enterprise database. Legacy migration and connectivity with cloud architectures.
Data transformation in SQL. Analytics engineering with built-in versioning and testing.
Automated ingestion (ELT). 500+ pre-built connectors for data centralization.
Distributed streaming. Real-time event pipelines and systems integration.
Observability and log analysis. Monitoring, alerting and operational security.
iPaaS automation. Visual orchestration of flows between applications and APIs.
Open-source automation. Code-based workflows and connectors for custom integrations.
LLM focused on safety and explainability. Generative AI for regulated environments.
Generative AI built into Microsoft 365, Azure and Dynamics. Assisted productivity.
Google's multimodal models. Native generative AI in Google Cloud and Workspace.
GPT and generative AI APIs. Assistants, RAG and content generation in production.
Industry & Third-parties
Shall we start?
Fill out the form and we’ll find the best solution for your organization.
In-depth initial analysis
Before proposing anything, we understand your reality: current processes, data sources, business needs and strategic goals. We start from your specific context. Every project begins with the right questions.
Collaborative development
We work side by side with your teams. Our technical expertise plus your business knowledge. Every decision is made together. That's how we ensure adoption and sustainability.
Implementation with impact
We deliver solutions that transform operations. Success is measured in efficiency gained, decisions improved and business value created.
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