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Artificial Intelligence & RPA

AI-driven business development
Automating activities allows you to optimize your most precious asset: time.
By leveraging machine learning algorithms and cognitive computing, AI interprets complex data sets and provides strategic recommendations that drive innovation and efficiency. This type of solutions allows you to focus on the most important tasks, reduce costs and have greater flexibility and access to information at any time and from anywhere.
AI & RPA aim to meet the needs of companies that want to develop, redesign or improve their BI solutions and benefit from insightful reports, optimization and automations.
What we do
AI-driven bus
Advanced analytics
We develop sophisticated data interpretation models that establish key parameters for AI-driven services. We apply these models to create intelligent layers, including chatbots and automated forms.
Generative AI
We employ sophisticated data interpretation models to enhance offerings such as form recognition and chatbot functionalities, ensuring seamless integration and optimized performance.
Copilot adoption
We offer tailored programs that streamline the integration and optimization of Microsoft Copilot.
Process Automation
(RPA)
We deliver comprehensive automation services helping companies introduce cost- and time-saving automated bots into their operational workflows with minimum disruption.
Partnering with Microsoft and Pioneering AI research
ARMIS LAB@FEUP
ARMIS@LAB FEUP is an R&D laboratory fostering collaborative knowledge creation and technology development in computer engineering. We drive innovation and enhance sector competitiveness, facilitating qualified scientific employment. Our primary goal is to conduct joint research projects between ARMIS, associated companies, and FEUP, benefiting both academia and industry.
Microsoft Solution Partners
We are Solution Partners in Data & AI, exploring the potential of big data and artificial intelligence technologies to create solutions that help companies make more informed decisions and improve operational efficiency.

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