Our Solutions

Economic Sectors

Insurance

Telematics for Automobile Insurance: Utilization of IoT devices in vehicles to collect driving data, such as speed, acceleration, and harsh braking, to calculate personalized insurance premiums. Data Analysis for Fraud Detection: Implementation of AI algorithms to analyze large datasets and detect suspicious patterns that could indicate insurance fraud in claims.

Manufacturing

Predictive Maintenance: Utilization of IoT sensors in machinery and production equipment to collect real-time performance data. AI algorithms can analyze this data to predict failures and plan maintenance before unplanned downtime occurs. Supply Chain Optimization: Implementation of AI solutions to analyze demand, inventory, and production capacity data to optimize supply chain planning and management.

Security

Intelligent Surveillance: Utilization of security cameras equipped with AI for facial recognition and real-time detection of anomalous behaviors. Cyber Threat Management: Implementation of AI systems to analyze network traffic patterns and detect potential cyber attacks before they cause harm.

Telecommunications

Network Management: Utilization of IoT to monitor the status of network equipment and collect performance data. AI algorithms can analyze this data to predict network problems and optimize performance. Customer Service: Implementation of AI-based chatbots and virtual assistants to respond to customer queries and provide technical support quickly and efficiently.

Agroculture

Precision Agriculture: Utilization of IoT sensors to monitor soil moisture, temperature, and other environmental factors in real-time. AI algorithms can analyze this data to optimize irrigation, fertilization, and other agricultural practices. Pest Management: Implementation of AI systems to monitor and predict the spread of pests and diseases in crops, enabling a rapid and effective response.

TELCOS - Communication technologies industry

Remote monitoring of equipment on communication towers, Analytic AZDATA, Personnel access control to base stations, Activity tracking control - service continuity, Asset management for base stations, Monitoring and recovery of stolen assets, Vibration control, Base station inspection with Augmented Reality, Fixed asset management in base stations.

Government

Smart Cities: Utilization of IoT sensors and AI systems to collect and analyze data on traffic, air quality, energy consumption, among other factors, to improve efficiency and quality of life in cities. Emergency Management: Implementation of AI systems to analyze data from multiple sources, such as emergency calls and social media, to identify and respond more effectively to crisis situations.

Service and TICS

(Information and Communication Technologies): User Experience Personalization: Utilization of AI algorithms to analyze user behavior and offer personalized recommendations in online services, such as video or music streaming platforms. Process Automation: Implementation of AI solutions to automate repetitive tasks and improve efficiency in areas such as customer service, human resources management, and accounting.

Health

Remote Patient Monitoring: Utilization of IoT devices to monitor vital signs, such as blood pressure and heart rate, of patients in their homes. AI algorithms can analyze this data to detect anomalies and alert healthcare professionals. Computer-Aided Diagnosis: Implementation of AI systems to analyze medical images, such as X-rays and MRIs, and assist in the diagnosis of diseases such as cancer and heart diseases.

Auto and Transport

Fleet Management: Utilization of IoT devices in vehicles to track their location, engine status, and other relevant data in real-time. AI algorithms can analyze this data to optimize route planning and fleet management. Autonomous Driving: Implementation of AI systems in vehicles to interpret sensor and camera data and make real-time decisions for safe autonomous driving.

Mining

Condition Monitoring: Utilization of IoT sensors to monitor environmental conditions and structural integrity in mines. AI algorithms can analyze this data to predict safety risks and optimize operations. Mine Planning: Implementation of AI systems to analyze geological and drilling data and optimize mine planning, maximizing efficiency and profitability.

Construction

Project Management: Utilization of IoT solutions to track project progress, monitor material usage, and optimize logistics on construction sites. AI algorithms can analyze this data to improve planning and decision-making. Workplace Safety: Implementation of AI systems to analyze security camera images and detect unsafe behaviors in the workplace, such as lack of personal protective equipment or presence of hazardous objects.

Ports and Consessions

Container Traffic Management: Utilization of IoT sensors in containers and handling equipment to track their location and status in real-time. AI algorithms can analyze this data to optimize loading and unloading planning and reduce waiting times. Port Security: Implementation of AI systems to analyze security camera images and detect suspicious activities, such as unauthorized intrusions or smuggling.

Financial

Fraud Detection: Utilization of AI algorithms to analyze large volumes of financial transactions and detect anomalous patterns that could indicate fraud. Personalized Financial Advice: Implementation of AI solutions to analyze clients' financial profiles and goals and offer personalized recommendations on investments, savings, and debt management.

Retail

Inventory Optimization: Utilization of IoT solutions to track inventory in real-time and predict product demand. AI algorithms can analyze this data to optimize inventory levels and reduce storage costs. Personalized Shopping Experience: Implementation of AI systems to analyze purchase history and customer behavior and offer personalized product recommendations in online and physical stores.

Get to know the details of our solutions in our solutions matrix

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