

TekniPlex is a global leader in sustainable packaging and specialty materials serving industries such as pharmaceutical, food, and consumer goods. With operations spanning multiple countries, TekniPlex focuses on delivering innovation, performance, and reliability across its manufacturing processes.
Customer Challenge
TekniPlex faced critical operational inefficiencies due to unexpected failures in the motors of its extruder machines. These unplanned outages disrupted production workflows, leading to increased maintenance costs and strained operational resources.
Without real-time visibility into equipment performance, the maintenance strategy relied heavily on manual inspections and periodic checks, making it reactive rather than proactive. The lack of timely fault detection posed a significant risk to continuous operations and reduced the plant’s overall productivity and profitability.
Partner Solution
Azlogica, an AWS Partner specializing in IoT and real-time monitoring, deployed a Condition Monitoring System (CMS) powered by its platform Things Manager®, which integrates key AWS services to enable predictive insights and continuous equipment tracking.
The solution combines AWS IoT Core, AWS Lambda, Amazon DynamoDB, AWS AppSync, Amazon SNS, CloudFront, Route 53, and CloudFormation to deliver a secure, scalable, and event-driven architecture. Vibration and temperature sensors installed on extruder motors feed real-time data into the platform, while a Gen AI module enables intuitive voice or text-based queries for advanced analytics and diagnostics.
Results and Benefits
The implementation of the CMS delivered immediate and noticeable improvements. TekniPlex was able to significantly reduce unplanned downtime, enhancing overall production continuity and reducing the strain on maintenance operations.
Real-time data now enables proactive and informed maintenance decisions, minimizing operational disruptions and extending equipment lifespan. The integration of Gen AI functionality further empowered technicians and engineers with on-demand insights, streamlining diagnostics and improving response times on the factory floor.
About the Partner
AZLOGICA is a Latin American AWS Partner that specializes in IoT, AI, and cloud-based monitoring solutions for mission-critical assets. With proven experience in industries such as manufacturing, energy, and logistics, AZLOGICA delivers scalable, secure, and data-driven platforms that enhance operational efficiency.
Use of AWS Bedrock services with the Claude model for information processing and generation
Deployment on AWS servers, providing security, performance, and scalability


Beverage delivery trucks have a system installed capturing and sending data online to cloud software, configured for use by each of the following departments:
- Distribution: Receives delivery route schedules and delivery completion percentages.
- Automotive: Receives data from the vehicle's computer (ECU) to verify driving habits and proper machine use.
- Sustainable Development and Fuel: Allows verification of fuel levels used, losses, and reduction of consumption through efficient transfers, good habits, and emission reduction.

G4S has entered into a strategic alliance with AZLOGICA to utilize the flexibility, scalability, and information security of multiple platforms according to the security value proposition of this major UK company.
The platform is customizable in its functionalities to be implemented in bicycles, automobiles, mobile machinery, and can range from simple positioning to online video visualization and a whole range of intelligent sensors and reporting based on the requirements of each client.

Solution for remote management and automation of event processes, downloading cooperative certificates, and payment processing. It is proposed that the above processes can be automated with ALEXA SKILLS, thus allowing each step of the processes to be performed through commands with an assistance system that adapts to each of the commands dictated by COOMEVA employees and/or clients.
Use of AWS Bedrock services with the Claude model for information processing and generation
Deployment on AWS servers, providing security, performance, and scalability








RAMGUZ is a manufacturing company specializing in industrial fluid management solutions across sectors such as energy, mining, food, and pharmaceuticals. Despite its long-standing industry presence, the company faced operational limitations due to manual fluid inspection procedures and a lack of real-time visibility into the condition of oils and filtration systems in customer machinery.
Customer Challenge
This reactive approach delayed maintenance responses, increased operational risk, and constrained the company’s ability to scale its services. RAMGUZ required a scalable, digital monitoring platform to remotely track fluid variables, optimize asset performance.
Partner Solution
AZLOGICA, an AWS Partner specializing in IoT and data intelligence, deployed a custom remote fluid monitoring solution using its platform Things Manager®, integrated with core AWS services.
The system captured critical variables such as particulate contamination (ISO 4406), differential pressure, oil degradation, and filter life through multi-sensor inputs using MODBUS and RS485 protocols. These were connected to cellular-satellite gateways (ST9100) ensuring reliable data transmission even in remote environments.
Key AWS services—including AWS IoT Core, AWS Lambda, Amazon DynamoDB, AWS AppSync, Amazon SNS, Amazon Cognito, Amazon S3, Amazon SES, Amazon Redshift, CloudFront, Route 53, and AWS CloudFormation—were used to securely ingest, process, visualize, and distribute the data. The architecture enabled real-time alerts, intuitive dashboards, secure multi-user access, and advanced analytics for both RAMGUZ and its industrial clients.
Results and Benefits
The implementation of the remote monitoring solution brought immediate improvements to RAMGUZ’s internal operations. Real-time data enabled early detection of fluid anomalies and supported the transition from manual checks to predictive maintenance.
This shift reduced downtime, improved asset reliability, and streamlined decision-making. The solution enhanced overall operational efficiency and reinforced RAMGUZ’s position as a digitally enabled industrial manufacturer.
About the Partner
AZLOGICA is a Latin American AWS Partner specializing in IoT, AI, and cloud-based monitoring solutions for mission-critical assets. With proven experience in industries such as manufacturing, energy, and logistics, AZLOGICA delivers scalable, secure, and data-driven platforms that enhance operational efficiency.



About the Customer
ANCLA is a financial services company operating a network of over 1,300 safes and automated banking terminals across the country. The organization focuses on delivering secure and efficient transaction management through innovative technology and infrastructure tailored to its distributed operations.
Customer Challenge
ANCLA faced significant operational and security challenges in managing its nationwide network of safes. The lack of real-time visibility into deposits, withdrawals, and equipment movement limited the ability to detect anomalies promptly and respond effectively. Manual processes for monitoring and auditing were inefficient and labor-intensive, creating operational delays and increasing compliance risks. ANCLA needed a centralized, scalable, and secure solution to enable 24/7 remote monitoring, real-time alerts, and intelligent reporting—all while integrating with its existing infrastructure.
Partner Solution
AZLOGICA, an AWS Partner specializing in IoT and real-time monitoring, implemented an end-to-end solution using its Things Manager® platform, integrated with Power BI for analytics and reporting. The system connects to client-supplied hardware to capture data on safe transactions and equipment status across all locations.
The solution leverages key AWS services including AWS IoT Core, Amazon DynamoDB (with TTL policies), AWS Lambda, AWS AppSync, Amazon SNS, and AWS CloudFormation to create a serverless and scalable architecture. This setup allows for real-time processing of events, anomaly detection, and visualization of connected assets, without requiring changes to ANCLA’s existing infrastructure.
Results and Benefits
The solution has significantly improved ANCLA’s operational efficiency and security posture. Real-time monitoring provides full visibility across all safes, enabling faster detection and response to anomalies. Automated alerts and intelligent reporting have reduced the dependency on manual audits and enhanced decision-making based on reliable, up-to-date information.
By integrating real-time data with Power BI, ANCLA can now track performance indicators, optimize maintenance cycles, and manage operational resources more effectively—ensuring consistent service delivery and regulatory compliance across its national network.
About the Partner
Azlogica is an AWS Partner based in Latin America, focused on delivering IoT, cloud-based monitoring, and data intelligence solutions for critical infrastructure. With a strong track record in industries such as energy, transportation, and manufacturing, AZLOGICA empowers organizations with scalable and secure platforms that drive digital transformation and operational excellence.




CENIT, a subsidiary of the Ecopetrol Group, is a leading company in the transportation and logistics of hydrocarbons in Colombia. Its strategic operations span multiple regions and are responsible for ensuring the safe and continuous flow of crude oil and derivatives, supported by technology solutions that drive operational efficiency.
Customer Challenge
CENIT faced significant limitations in real-time monitoring of its hydrocarbon well operations. The lack of visibility into asset performance hindered the early detection of anomalies, increasing the risk of operational failures and financial loss. Additionally, manual processes slowed down decision-making, which relied heavily on delayed and fragmented data.
Partner Solution
Azlogica, an AWS Partner specializing in IoT and operational intelligence, implemented a comprehensive monitoring solution based on Digital Twins and a Data Lake, leveraging its Things Manager® platform. The solution integrates field sensors, IoT gateways, and core AWS services including AWS IoT Core, Amazon DynamoDB, AWS Lambda, AWS AppSync, Amazon SNS, Amazon Cognito, Amazon Route 53, Amazon CloudFront, and AWS CloudFormation.
This architecture enables the real-time collection, analysis, and visualization of critical variables such as pressure, speed, and temperature. The system also allows for customizable alerting and intelligent reporting, helping CENIT enhance decision-making and improve operational continuity.
Results and Benefits
The implementation of the monitoring solution led to measurable improvements in operational efficiency and asset reliability. By gaining access to real-time performance data and historical trends, CENIT was able to enhance maintenance planning, reduce operational risks, and extend the lifespan of critical equipment.
The availability of timely and actionable insights empowered decision-makers to act proactively, minimizing downtime and improving resource allocation. Overall, the solution supported a data-driven approach to operations, resulting in greater agility, cost savings, and increased confidence in infrastructure performance.
About the Partner
Azlogica is an AWS Partner based in Latin America, focused on delivering IoT, cloud-based monitoring, and data intelligence solutions for critical infrastructure. With a strong track record in industries such as energy, transportation, and manufacturing, Azlogica empowers organizations with scalable and secure platforms that drive digital transformation and operational excellence.
Customer Challenge
TekniPlex faced critical operational inefficiencies due to unexpected failures in the motors of its extruder machines. These unplanned outages disrupted production workflows, leading to increased maintenance costs and strained operational resources.
Without real-time visibility into equipment performance, the maintenance strategy relied heavily on manual inspections and periodic checks, making it reactive rather than proactive. The lack of timely fault detection posed a significant risk to continuous operations and reduced the plant’s overall productivity and profitability.
Partner Solution
Azlogica, an AWS Partner specializing in IoT and real-time monitoring, deployed a Condition Monitoring System (CMS) powered by its platform Things Manager®, which integrates key AWS services to enable predictive insights and continuous equipment tracking.
The solution combines AWS IoT Core, AWS Lambda, Amazon DynamoDB, AWS AppSync, Amazon SNS, CloudFront, Route 53, and CloudFormation to deliver a secure, scalable, and event-driven architecture. Vibration and temperature sensors installed on extruder motors feed real-time data into the platform, while a Gen AI module enables intuitive voice or text-based queries for advanced analytics and diagnostics.
Results and Benefits
The implementation of the CMS delivered immediate and noticeable improvements. TekniPlex was able to significantly reduce unplanned downtime, enhancing overall production continuity and reducing the strain on maintenance operations.
Real-time data now enables proactive and informed maintenance decisions, minimizing operational disruptions and extending equipment lifespan. The integration of Gen AI functionality further empowered technicians and engineers with on-demand insights, streamlining diagnostics and improving response times on the factory floor.
About the Partner
AZLOGICA is a Latin American AWS Partner that specializes in IoT, AI, and cloud-based monitoring solutions for mission-critical assets. With proven experience in industries such as manufacturing, energy, and logistics, AZLOGICA delivers scalable, secure, and data-driven platforms that enhance operational efficiency.

Gildemeister Dealerships – Success Case
About the Customer
Gildemeister is a leading automotive dealership group, recognized for representing multiple vehicle brands and managing high customer traffic across its sales floors. The company focuses on delivering high-quality customer experiences while maintaining efficient commercial operations within its dealerships.
Customer Challenge
Gildemeister faced operational inefficiencies related to the performance and management of its sales advisors. The company lacked objective, real-time information to understand how advisors interacted with customers, how long customers waited to be assisted, and which vehicles generated the most interest. This limited visibility made it difficult to optimize staff productivity, improve customer experience, and make data-driven decisions at the dealership level.
Solution
AZLOGICA implemented an Artificial Intelligence video analytics solution using DeepEye®, enhanced with Generative AI (GenAI) capabilities. Through strategically installed cameras, the platform captured and analyzed operational data related to advisor–customer interactions, customer flow, waiting times, and vehicle interest patterns.
By leveraging all the data collected by the solution, the GenAI layer enables users to interact with the information using natural language. By simply asking specific questions, the system delivers descriptive, predictive, and prescriptive insights, transforming complex datasets into clear, actionable intelligence. The GenAI engine not only explains what is happening, but also projects future scenarios and recommends actions based on historical and real-time dealership data.
Benefits
End-to-end operational visibility through AI-powered video analytics and Generative AI insights.
Faster and more informed decision-making by querying operational data using natural language.
Predictive and prescriptive analytics that anticipate customer demand, advisor workload, and operational bottlenecks.
Proactive optimization of sales floor operations based on AI-driven recommendations and future projections.
Improved advisor productivity and accountability supported by objective, data-backed performance metrics.
Enhanced customer experience through reduced waiting times and better-aligned advisor allocation.
Strategic planning capabilities enabled by AI-driven forecasting and scenario projection across dealerships.