Artificial Intelligence

Image recognition

• Supervision of the number of people in a specific area.

• Product and target recognition in a store

• Recognition of people or objects by categories

• Employee control via QR

Call monitoring

• Supervision and monitoring of key words in calls

• Call supervision and monitoring

• SMS alerts triggered by keywords or call time

This pillar specializes in AI software development and architecture design. Thanks to the three elements (State-of-the-Art Technologies, Open Source and Agile Methodologies) that we add to the triangle of resources, we can make the relationship more flexible to develop quality software in less time and at the best price.

Due to the analysis of millions of data in seconds and the support it provides for agile decision making, more and more companies are developing with AI because the difference between before and after is abysmal and the competitive advantage it provides is enormous. 

Machine learning brings another level to artificial intelligence, making it more complex and interesting as it adds the ability to learn from previously generated data and thus make decisions and project information, among many others. 

Deep learning raises the level of AI considerably, as it includes self-correction and restructuring of learning automatically, in other words, it learns from its mistakes and corrects them automatically, generating new knowledge and the possibility of creating solutions autonomously.