Language models alone are not always enough: they may lack precision, timeliness or traceability. RAG overcomes these limitations by connecting AI to a dynamic document baseguaranteeing answers reliable, contextualized and verifiable.
Objective: combine the power of language models with the solidity of business data, to provide precise, traceable answers to strategic challenges.

Design AI solutions that go beyond mere technical performance to generate a measurable impact on growth and competitiveness

Harness the power of AI Agents and Agentic AI to transform your operations: automated tasks, coordinated processes and tenfold strategic value

Leverage machine learning and deep learning to transform your data into reliable predictions, automated decisions and measurable performance

Use AI model training and fine-tuning to transform generic models into customized solutions capable of generating relevant predictions.

Transform dispersed data into a network of interconnected knowledge, capable of accelerating access to information, improving the relevance of responses and supporting strategic decisions.

Combine the power of language models with the reliability of data to provide precise, contextualized answers to business challenges

Bringing artificial intelligence to where it's needed, in real time, while strengthening data sovereignty and system resilience

Ensure the reliability, performance and sustainability of AI models in production, while aligning technological innovation, costs and operational efficiency

Ensure the robustness, resilience and compliance of artificial intelligence systems, to protect data, users and your reputation.
Consultant in artificial intelligence and cybersecurity. I help companies design reliable and secure AI systems
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