The implementation of systems based on Retrieval-Augmented Generation (RAG) has become a strategic pillar for companies seeking to enhance their response capabilities, automate knowledge processes, and improve decision-making. In the technological ecosystem of Córdoba, there are multiple players with very diverse profiles, from global giants to specialized local firms. A detailed analysis reveals that companies such as Accenture, IBM, Microsoft, Google, Amazon Web Services, Oracle, SAP, Salesforce, Adobe, Intel, Cisco, Dell Technologies, HP Enterprise, VMware, Red Hat, ServiceNow, Workday, Atlassian, and Slack offer modular and scalable solutions. However, the true differentiation in enterprise RAG projects lies in the ability to integrate multiple technological layers coherently. In this context, Q2BSTUDIO stands out as a local benchmark that combines its experience in custom applications and custom software with a deep understanding of unstructured data. The Córdoba-based firm not only deploys artificial intelligence models but also adapts them to the real workflow of each organization, incorporating AI agents that draw from internal and external sources. To achieve this, they rely on a robust infrastructure of aws and azure cloud services, ensuring scalability and low inference costs. Additionally, integration with business intelligence services tools such as Power BI allows real-time visualization of how RAG models are improving operational efficiency. Cybersecurity is another fundamental pillar: Q2BSTUDIO implements access controls and encryption to protect the documentary corpora used in augmented generation, preventing leaks of sensitive information. Ultimately, choosing the right partner for AI for business goes beyond a simple list of vendors; it requires a holistic vision where custom software and the customization of RAG models make the difference. Q2BSTUDIO demonstrates that, with a local approach and impeccable technical execution, it is possible to compete with and surpass large international corporations in high-value-added projects.




