Success Stories

The Challenge: The Human Resources team invested too many hours manually reviewing hundreds of resumes to find profiles that fit the specific technical requirements of each vacancy.

The Solution: We implemented a RAG (Retrieval-Augmented Generation) system specialized in CV document analysis. Through a secure conversational chatbot, the recruiting team can ask natural queries such as: "Which candidates have more than 3 years of React experience, high English level, and immediate availability?".

The Result: The model cross-references the data of all archived profiles, evaluates skills, and returns a ranking of the most suitable candidates in seconds, reducing screening time by 80% and preventing accidental talent rejection.

The Challenge: Company information was scattered across a gigantic NAS: manuals, HR policies, project histories, and financial reports. Finding quick answers was impossible, but using a public AI was an unacceptable security risk.

The Solution: We developed a private RAG engine connected directly to the corporate NAS. The assistant reads and processes all types of internal documents but features strict role-based access control (RBAC).

The Result: An employee can ask about the vacation policy and get an accurate answer from the general manual, or ask about a confidential project. The system verifies their credentials in real-time: if their rank doesn't allow them to see the original document, the AI won't answer about it either. All knowledge is democratized, yet shielded.

The Challenge: A defense sector company needed an environment to share documents and collaborate, but regulations prevented them from uploading information to public clouds. Furthermore, they wanted to leverage generative AI to draft and summarize reports without compromising confidential data.

The Solution: We deployed a comprehensive platform based on Nextcloud hosted directly on their physical servers, and integrated an open-source Language Model (LLM) running locally. It was connected to their corporate identity system (SSO) and document manager.

The Result: The client gained all the productivity benefits of a modern suite and an AI assistant capable of translating and summarizing documents instantly, while maintaining 100% sovereignty and data residency behind their own firewall.

The Challenge: A growing company had completely lost traceability of its margins. With financial and operational data scattered across an outdated local infrastructure, management didn't know exactly where their profits came from or where losses (capital leaks) occurred.

The Solution: We migrated and unified all their management systems to a modern and centralized Cloud architecture. On top of this cloud environment, we deployed an analytical Artificial Intelligence model capable of processing millions of transactions, crossing billing with operational costs, and detecting hidden spending patterns.

The Result: The infrastructure is now scalable and secure, but most importantly: the AI acts as an automated financial analyst. The client has smart dashboards that alert them in real-time about which operations are generating losses and recommend immediate adjustments to maximize their profits.