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z-OLD-home WTE
Model Monitoring
z-OLD-home WTE
Sensor Integrations
z-OLD-home WTE
Model Monitoring
z-OLD-home WTE
Sensor Integrations

IoT – Self-service solutions

IoT Monitoring Platform with AI/ML Capabilities

Our IoT monitoring and management platform is designed to operate in heterogeneous environments, ensuring interoperability with multiple devices, protocols, and third-party systems
Self-Service-Solution

The solution is structured around modular integration middleware, which allows for the management of the entire cycle of IoT data acquisition, processing, and control, also incorporating artificial intelligence for the detection and prediction of anomalous behavior.

01

Integration and Communication Middleware

IoT middleware acts as an abstraction layer between the physical devices and the monitoring console. This component relies on an extensible set of drivers, each responsible for managing bidirectional communication with a specific family of devices or sensors.

Each driver implements the logic necessary for:

  • Real-time data acquisition.

  • Event and alarm management.

  • Sending commands and control actions to devices.

  • Handling industrial and IoT communication protocols (Modbus, MQTT, OPC-UA, REST, among others).

When no existing driver is available, the middleware allows ad hoc integration through:

  • DLLs, SDKs, or APIs provided by the manufacturer.

  • Low-level integrations, in cases where the device only offers access through serial interfaces or proprietary protocols.

  • This architecture facilitates robust two-way communication, allowing both remote control and dynamic reconfiguration of devices in the field.

02

Distributed Architecture and Edge Computing

The platform supports distributed and scalable deployments, adapting to different network topologies and connectivity requirements:

  • Edge Deployment: The middleware can be installed on Edge devices (miniPC, industrial gateway, etc.), which perform local processing and temporarily store data in an embedded database. This approach reduces latency, ensures service continuity in environments with intermittent connectivity, and allows periodic synchronization with the central console in the cloud.

  • Cloud Deployment: In scenarios with stable connectivity, devices can transmit information directly to the platform's cloud services, interacting with the remote management system through secure APIs.

  • Integration with External Repositories: If devices already publish their data to an existing repository, our middleware can connect to that data source (database, data lake, or API) and federate the information with the rest of the monitoring ecosystem.

Artificial Intelligence and Machine Learning

Machine Learning and Artificial Intelligence models are executed on the middleware data layer, designed to analyze the historical and real-time behavior of IoT devices. These models enable:

  • Prediction of component failures or degradation through time series analysis and multivariate correlations.
  • Detection of anomalies in consumption patterns, temperature, vibration, or other operational metrics.
  • Optimization of operation and predictive maintenance, anticipating interventions before critical incidents occur.
  • Automatic recommendations for adjustments or reconfigurations based on the evolution of device parameters.

03

The AI layer can be deployed both at the Edge (for real-time analysis and immediate decisions) and in the cloud, where training and global optimization models are executed.

04

Supervision and Management Console

All processed information is consolidated in the monitoring console, which acts as a unified interface for visualization, analysis, and operational control.

Through interactive dashboards, users can:

  • Monitor device status.

  • View metrics and alerts in real time.

  • Execute remote control actions.

  • Consult reports automatically generated by AI models.

This modular architecture, based on bidirectional communication, intelligent analysis, and distributed deployment, offers a comprehensive solution for advanced management of IoT ecosystems, ensuring operational efficiency, resilience, and predictive capabilities.

Clients

Iberia
Logo Alsa
Monbus Logo

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Model monitoring: Discover GAM

Our patented AI-based monitoring software that captures and analyzes real-time data to predict failures, optimize performance, and maximize efficiency.


Sensor Integration

Discover how we integrate any type of sensor or device — from advanced systems to legacy hardware — into a unified platform that turns data into actionable insights.


Industries

Discover how WTE applies Artificial Intelligence and IoT to transform key sectors — including healthcare, banking, energy, retail, transportation, and public administration.

Migration of the client system's presentation layer, a critical interface for the management and operation of its platform.

In the legacy application, the user interface was implemented using tmodjs templates and classic JavaScript, technologies that, although effective, have limitations in terms of maintainability, scalability, and alignment with modern frontend development standards.

The goal of the project was to transform the presentation layer, migrating the tmodjs templates to VueJS 3.5 components developed in TypeScript, maintaining the existing business logic and backend in Java, and ensuring the compatibility and operational continuity of the system.

Through the application of AIPA, the project was completed in 60% less time than estimated, demonstrating the efficiency and accuracy of the technological modernization model implemented.

The project consisted of the complete migration of a document management application, originally developed in HTML, CSS, and JavaScript, to a modern architecture based on TypeScript and React. The main objective was to modernize the platform, improving its maintainability, performance, and scalability, while ensuring compatibility with the client's internal systems and processes.

During the execution, the user interface was reengineered, updating the styles and adapting the design to the corporate visual guidelines. To do this, the client's own components were used, ensuring visual consistency with the rest of their applications and promoting the reuse of elements from their design library.

In addition to the aesthetic modernization, significant improvements were implemented in the code structure and component organization, optimizing loading, facilitating future maintenance, and improving the user experience.

Thanks to the use of AIPA AI, the project—initially estimated to take a year—was completed in just two months, achieving an 80% return on investment (ROI). This result demonstrated the effectiveness of the technical approach adopted, as well as the positive impact of technological modernization on the client's productivity and operational efficiency.

Monitoring of self-service kiosks on the medium- and long-distance rail network.

Real-time monitoring
Integration with payment gateways
Integration with Renfe's sales systems
The kiosks are managed through GAM Monitor

WTE implemented a solution to reduce queues in the car rental process. During peak hours at airports and train stations, long queues form for car rentals.

A self-service customer registration solution was implemented, streamlining bureaucratic processes, drastically reducing waiting times, and simultaneously increasing customer satisfaction.

Training portal: Trasmediterránea, in collaboration with WTE, launched a new online tool to facilitate access for all its employees to various training activities. Some of these activities are mandatory, as they are linked to the requirements for performing their job duties, while others are voluntary, designed to enhance qualifications.

One of the key aspects of the project was data synchronization between mobile and fixed locations. Naturally, all information must be unified and consistent to centralize user management, registrations, report generation, and access control.

To address this, WTE's software development department created a customized solution.

Ticketing and information systems at maritime stations: This solution comprised self-service kiosks for issuing boarding passes, a user interface, integration with Trasmediterránea's systems, and active monitoring of the entire fleet using WTE's GAM monitor to maximize the system's operational efficiency. Additionally, GAM was also used to control the information screens at maritime arrival and departure stations.

To optimize its operating costs, Alsa entrusted WTE with developing kiosks that would automate bus ticket sales.
In addition to the kiosk software, WTE implemented an intelligent monitoring system that uses AI to anticipate and manage incidents, allowing for intervention before failures occur and ensuring continuous and efficient service.

The project includes the supply of more than 140 Self-Service Ticketing Kiosks for bus stations throughout Spain.

• User interface design and development for sales
• Integration with booking systems
• Payment options: cash, card (EMV), and loyalty card
• Real-time monitoring of the sales network
• GAM + BI for analyzing:

o Peak passenger hours
o Sales per machine, day, and hour
o Sales by payment type
o Incident analysis
o Predictability

Comprehensive Iberia and IAG service - Management and control of Terminal 4 at Adolfo Suárez Madrid-Barajas Airport:
Ticket check-in, baggage handling, aircraft wing software, pilot navigation software, VIP lounges, and other services.

For years, WTE has progressively incorporated AI solutions, optimizing processes and accelerating the development of new functionalities to offer an agile and cutting-edge service.

An automated bus ticketing system was supplied, comprising self-service kiosks, development of the sales interface, integration with the client's systems, and continuous monitoring with GAM.

It currently serves the Aerobus Barcelona-Airport and Madrid-Vigo lines.

Companies often struggled to stay informed about the numerous grant opportunities available to them. Until now, the client's team manually compiled a catalog of funding opportunities and matched them to client company profiles—a laborious and time-consuming process.

This project proposed the creation of an automated system capable of extracting structured data from grant documents and linking relevant opportunities to client companies. The solution replaced manual data entry with an AI-assisted workflow, increasing the number of opportunities identified per client and reducing response times from days to seconds. By using natural language processing (NLP) combined with deterministic business rules, the system ensured high accuracy in information extraction, generating standardized tags aligned with the existing profile database.

Thanks to the use of AIPA AI, the project achieved a 60% saving compared to the initially estimated time, demonstrating the effectiveness of the approach adopted and the positive impact of technological modernization on the client's processes.

Development of a mobile customer registration application for Yves Rocher. This multi-device CRM application allows for tracking each customer, increasing loyalty rates.

The information is sent to Yves Rocher's headquarters in France.

The project involved replatforming the POWR:Run data system, based on Google Sheets, into a modern architecture on Google Cloud Platform (GCP), with BigQuery as its analytical core. The goal was to improve the system's performance, governance, and scalability by adopting a multi-layered, extensible data model inspired by Data Vault principles and domain-based design.

ELT pipelines were implemented to integrate data from external sources such as PJM MSRS and Market Gateway, capturing near real-time operational metrics from the electricity market. Furthermore, control and audit mechanisms and optimized views for Business Intelligence (BI) were incorporated, resulting in a more traceable, efficient platform ready for advanced analytics.

Self-service solution for medical appointments: This system allows for in-person medical appointments without needing to visit reception. The kiosk allows users to schedule appointments using the medical directory, change dates, change specialties, and print test results and medical reports.
The solution consists of self-service kiosks with ID and health card readers, report printers, appointment confirmation printers, a healthcare user interface, and integration with hospital systems.

The entire system is monitored with GAM Monitor to ensure service continuity.

Migration of the batch process, a critical component of the client's insurance application that operated on legacy technologies (COBOL, Natural, and operating system scripts).

This quarterly batch process is fundamental for generating solvency information, grouping data by lines of business and Life and Non-Life insurance categories according to regulatory requirements.

The migration consisted of transforming the batch process from its current implementation to a modern architecture based on Java Spring Batch, maintaining business functionality and ensuring the accuracy of the results, while leveraging the advantages of current technologies.

The use of AIPA significantly accelerated the project, achieving a 60% reduction in the initially estimated timeframe and reaffirming the positive impact of technological innovation on the client's operational efficiency.

Homepaq Project: In collaboration with Azkoyen, WTE developed the first parcel kiosk project for Correos (the Spanish postal service), HOMEPAQ, revolutionizing home logistics in the 2010s with delivery and collection lockers. Thanks to the GAM monitoring software, Correos was able to optimize incident management, generating significant savings. More than 300 kiosks were implemented in an initial experimental phase throughout Spain, marking a turning point in logistical efficiency. In its second phase, the project monitored 2,500 Homepaq kiosks distributed across the country.

Dropbox Project: As part of Correos' policy to reform post offices in Spain, it was decided to automate the parcel delivery process in these offices to improve customer service and optimize resources. WTE developed a pioneering solution consisting of a self-service kiosk with payment methods and a scale for weighing parcels. This is built on a software system consisting of a user interface, email system integration, and integration with another hardware component: Dropbox, an electronic "mailbox" system for depositing the package once it has been weighed and paid for.

The entire system is supported by GAM Monitor, ensuring that the whole process is constantly monitored.

The project involved the complete migration of the client's billing application, originally developed in the .NET Framework, to a modern architecture based on .NET Core and Angular. The primary goal of this modernization was to improve the application's performance, maintainability, and scalability, ensuring its alignment with current technological standards and facilitating its future evolution.

During the process, a comprehensive re-engineering of the presentation layer was carried out, adopting Angular as the frontend framework to deliver a smoother, more modern, and responsive user experience. Simultaneously, numerous integrations with external services were updated and optimized, guaranteeing compatibility with new API versions and improving the efficiency of communication between systems.

The project involved migrating various internal management tools used by different departments within the organization to a modern architecture based on .NET technology. These applications, currently developed with legacy technologies, support key company processes such as resource planning, task tracking, project control, document management, and operational reporting.

The main objective was to modernize the technological infrastructure, improving the efficiency, maintainability, and security of the tools, while also optimizing their performance and integration with other corporate systems.

The project's objective was to provide initial consulting services proposing solutions for migrating existing applications from the Madrid City Council's IBM platforms to more current technologies, mitigating obsolescence risks and reducing maintenance costs.

To achieve this scope, we implemented a clearly defined three-phase methodology, aligned with the technical specifications of the tender.

Each phase produced concrete deliverables and laid the groundwork for the next, ensuring the orderly and complete execution of the project.
Throughout all phases, we applied techniques based on artificial intelligence and specialized language models for code analysis, as required by the tender specifications, to identify risks, opportunities, and optimal solutions for each application analyzed.

The project's objective was to contract consulting services to thoroughly analyze all or part of the Ministry of the Interior's computer applications and propose improvements through the implementation of Artificial Intelligence-based solutions.

The scope of work to be carried out by WTE comprised a comprehensive set of activities aimed at analyzing, diagnosing, and proposing innovative Artificial Intelligence (AI)-based solutions to optimize the Ministry of the Interior's computer applications and systems.

A digital tool in Access that was unable to evolve without the support of staff who knew how it worked and how to migrate it.

Thanks to AIPA, a successful migration to Spring and Angular was achieved, allowing for the implementation of new functionalities.

This has resulted in a 30% time savings and continuous improvement of the tools.

• Migration of a Figma to Angular application for the Madrid public administration. 72 Figma screens were migrated in 2 months.
The project time savings resulted in a 40% ROI.

• Migration of an Oracle Forms application to Spring and Angular. Not only was the code migrated, but the styles were also updated to match the new public administration style guidelines.
The migration took 2 months, achieving a 60% ROI.

 

Migration of an ERP system serving the Polish public administration. The ERP was originally based on Oracle Forms and was migrated to Spring and Angular. Outdated styles were updated using the client's own components and libraries, resulting in a fully updated system tailored to the client's needs. The project, which traditionally took three years to complete, was achieved in just one year thanks to AIPA and the team, with a 66% ROI. (Public Administration)

 

Corporate self-check-in system. To automate corporate check-in processes for receiving visitors, WTE provided a solution to streamline the registration process and free up reception resources. This solution included a self-service kiosk that collected visitor information, took a photo, and issued a business card with the visitor's credentials. This system was integrated with the access control system.

 

The project consists of providing professional consulting and development services for Microsoft Access, with the objective of developing new features, performing maintenance, and implementing enhancements within the Access platform that supports the client's pharmaceutical application, addressing their specific requirements.

This service provides specialized technical assistance to ensure the correct operation, optimization, and functional expansion of the application, allowing for its continuous adaptation to business needs and regulatory or technological changes in the pharmaceutical sector.

The activities include the analysis and design of new functionalities, incident resolution, optimization of queries, forms, and databases, as well as integration with other corporate systems or external data sources, ensuring the consistency and reliability of the information.

It also includes corrective, preventive, and evolutionary maintenance of the platform, guaranteeing its performance, stability, and security. The service will be provided with a flexible and personalized approach, adapting to the client's priorities and schedules, and adding value through continuous improvement and knowledge transfer. The ultimate goal is to maintain and enhance the operational efficiency of the Access-based pharmaceutical application, ensuring its technological and functional currency, as well as its alignment with the client's strategic and regulatory processes.

 

Migration of an existing module developed in Oracle Forms to a modern architecture based on Angular for the frontend and C# for the backend, while maintaining the existing database.

This migration aimed to improve the application's scalability, usability, and flexibility by leveraging modern technologies that allow for better integration with other systems and easier future updates.
The migration was carried out using a modular approach, where each application component was reviewed, analyzed, and migrated to its corresponding component in the new architecture.

This included rewriting the business logic that resided in the PL/SQL code, implementing a RESTful API in C# to manage the backend logic, and creating a modern user interface using Angular with components based on DevExtreme UI.

Thanks to the use of AIPA AI, the project achieved a 60% time savings compared to the initially estimated time, demonstrating the effectiveness of the adopted approach and the positive impact of the technological modernization on the client's processes.

Glint needed to migrate an ERP system with millions of lines of code, which was complex and time-consuming. Thanks to AIPA, the ERP was successfully migrated, and new features are still being implemented.
This has resulted in a 40% reduction in execution time and the inclusion of new functionalities.

 

Migration of a critical core banking module developed in Oracle Forms to a modern technology architecture, using Spring Boot for the backend and React for the frontend in their latest versions.

When the project began, the essential business functionalities resided in Oracle Forms, including a significant amount of logic implemented in PL/SQL.

The main objective of the project was to achieve full functional parity, meaning that the new applications developed in Spring Boot and React had to replicate all the functionalities, business rules, user interactions, and behaviors of the original Oracle Forms applications.

The project's ROI exceeded 40%.

 

Migration of a bank guarantee analysis application, written in Delphi, to Spring and Angular. A much more modern, intuitive, and accessible web user interface was implemented based on the client's guidelines. In addition, all the business logic implemented in Oracle was moved, improving cohesion and reducing database dependency.

The project was completed in 3 months and achieved a 60% ROI.