Data & AI
Optimizing and automating processes to enhance company performance with technological solutions that boost efficiency, reduce errors, and increase productivity, driving competitiveness and better use of resources.
- Data Architecture
Robust, scalable architectures across different environments and cloud platforms, designed to enhance data analysis and exploitation capabilities with an AI-centric vision that enables system evolution.
- Data Warehouses
Implementing the latest trends in data management and analytics — Data Lakehouse, Data Mesh, Data Fabric, and Data Hub — selecting the most suitable approach for each organization’s needs and characteristics.
- Data Visualization
Extracting value from stored information, developing relevant insights that support better decision-making across the organization.
- Data Governance
Defining and implementing governance models to ensure regulatory compliance within organizations, analyzing risks and action plans in corporate environments.
- AI Governance
Assisting organizations in implementing AI in a structured manner by controlling access, monitoring usage, and managing the assets generated. Helping accelerate the implementation of use cases, supporting various departments in identifying opportunities and adopting best practices for integrating AI into their operations.
- MLOPS/ LLMOPS
Designing, deploying, and maintaining continuous delivery environments for AI needs, proposing proprietary and third-party solutions, both in the cloud and on-premise, to facilitate AI governance, security, and control within organizations.
- Automatization
Driving end-to-end hyperautomation strategies as a technology partner, from opportunity identification through to continuous operation and evolution. Supporting process discovery and modeling, backlog building and prioritization, and the design of scalable solutions built with technologies such as UiPath, Microsoft Power Platform, and n8n, on architectural standards that guarantee traceability, observability, and governance, incorporating logging, monitoring, and business KPIs to measure and optimize the impact of each automation.
Proven in Practice
- Boosting performance: The key to effective testing
We enhanced efficiency and scalability through performance testing, integrating agile testing into development to optimize critical applications.
- Cost and Time Reduction: The AI and Big Data revolution
We optimized processes with AI and Big Data, saving up to 96 hours per project and 3,000 hours annually on manual tasks. Discover how we boosted efficiency in an innovative way!
- Scaling to success: A game-changing Tech Hub
We established a high-performance hub in Barcelona, assembling a team of experts in record time, successfully meeting all set SLAs.
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