Artificial Intelligence

We help you understand the potential of Artificial Intelligence for your organization.

Driving business evolution through responsible AI Innovation

We assist our customers in harnessing the latest AI capabilities, with a particular emphasis on generative AI. Additionally, we guide them in maximizing the potential of predictive analytics through advanced machine learning techniques. 

We offer end-to-end AI services to empower data-driven decision-making, predictive modeling and genAI, automation, and actionable insights. From defining requirements and building prototypes to training models and validating results, we guide businesses through every step of their AI journey. 

Approach

A semicircular diagram representing the Artificial Intelligence cycle, divided into four phases: Strategy, Foundation, Delivery, and Evolution. Each phase contains key topics related to data engineering, modeling, generative AI, and monitoring. The design uses blue and white tones, providing a clear and organized view of the process.
Strategy
We define tailored AI strategies by understanding your unique use case and ensuring it aligns seamlessly with your overall business goals. Simultaneously, we conduct thorough viability analyses to guarantee success. Throughout, we prioritize safety and ethics for responsible implementation.
Foundation
We build a strong AI foundation through data engineering, ensuring high-quality data that drives accurate modeling and training to optimize predictions and decision-making. By leveraging prompt engineering, we enhance AI's ability to understand nuanced contexts, delivering precise responses. To ensure responsible use, we establish governance frameworks that mitigate risks and maximize AI's benefits.
Delivery
We enhance user experiences with adaptive AI interactions and streamline services through digital assistants. Leveraging generative AI for creative outputs and data-driven insights, we empower businesses to make informed, impactful decisions.
Evolution
We ensure AI success with robust monitoring and control processes to oversee behavior, performance, and results. Using MLOps, we accelerate ML model development and deployment, while LLMOps ensures optimal management of large language models in production environments.

Success stories

INCM

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INCM

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Confluent

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Another thing happened before implementação de uma arquitetura não e escalável para responder a um texto.

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Confluent

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Technological partners

Leadership

Picture of Nuno Barreto, Managing Partner at Xpand IT.

Nuno Barreto

Managing Partner

Linkedin
Picture of Sérgio Viana, Managing Partner at Xpand IT.

Sérgio Viana

Managing Partner

Linkedin

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