Our Solutions

We design and deliver innovative AI solutions for your business, creating outstanding experiences for your customers – enabled by technology and enriched by our professionals.

AI-based Fraud Detection for Power Supply

Power-supply companies lose a lot of money mainly caused by non-technical losses, this is, those produced by customers who illegally intervene electrical meters (aka. Non-Registered Consumption or NRC). Business analysists struggle to detect those kind of behaviors in residential areas with low detection accuracy. In order to address this problem, ensemble learning using different types of machine learning techniques, was used to automatically predict NRC. Results using the AI model outperformed three or four times the human performance.

Improving Army's Integrated Support Systems using AI Technologies

Managing the sustainability systems of the military forces has several complex problems that affect the efficiency of its logistics processes. These include excessive time in the generation of purchase orders, poor reliability of the data recorded in internal systems, high costs due to machine maintenance downtime and/or defense assets, delays in procedures related to acquisitions and tenders, and increased transportation times, among many others. In order to address these difficulties, novel approaches and technologies such as AI and meta-heuristic optimization methods were proposed to solve some problems in logistic areas such as maintenance, transportation, procurement and planning.

Automated Answering for Contact Centers using NLP

Companies use call centers to provide customer support, answer inquiries, and offer sales information. Human agents, supported by advanced technologies, handle these tasks, but challenges like response time, service quality, and consistency arise. To address this, the project developed an intelligent model using AI and NLP to analyze text, identify customer intentions, and optimize call routing to agents.

Credit Card Fraud Classification

Credit card fraud remains a major concern for banks, with unauthorized purchases being a common issue. Financial institutions collect vast customer data to detect fraud patterns and predict future risks. To tackle this, a neural network-based method was used to analyze transactions for a large retail chain, achieving 97% accuracy. While it cannot specify the type of fraud, it helps anticipate risks and take preventive actions

Intelligent Optimization to Reduce Waiting Times in Hospitals

One of the key issues with public health systems is the extremely long waiting times in state hospitals both for outpatient and inpatient health care, hence novel procedures, methodologies and approaches are required to reduce critical times. In order to provide automated support for decision makers in hospitals and to reduce human intervention in outpatient care, intelligent optimization technology and machine learning techniques were proposed so as to make hospital management and resource allocation more efficient, reducing waiting times on primary health care.

Tourism Data Observatory

There is a lot of uncertainty in the tourism industry that directly affects business decisions, public policies and competitiveness. In order to contribute to improving the competitiveness of the tourism industry, a tourism intelligence observatory was designed and implemented based on a large amount of data analysis technology, which allows characterizing the consumer behavior of the international market and promoting prospective planning. Analysis panels were created to provide information on consumer profiles, travel satisfaction, purchasing behavior, projection of visits, markets of interest, etc.

Intelligent Media Exploration & Analysis for Intelligence Tasks

There are multiple sources of information that can account for user behavior and preferences regarding certain events of national interest, both from formal sources (e.g., documents, institutional information records, geolocation information) and informal sources (social networks, forums, newspapers). All of this becomes highly relevant strategic information that can be used for decision-making, exploring and predicting future behavior, or detecting certain patterns in events. To address these issues, various AI prototypes were developed to support intelligence analysis tasks.