US Monitoring (USMON) modernized its platform by migrating to AWS and upgrading its analytics with Amazon Q and QuickSight, offering personalized dashboards. This transformation boosted customer satisfaction, generated new revenue streams, and reduced operational costs.
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A migration to AWS that achieved a secure, scalable, and cost-effective cloud environment, driving innovation in a Fintech-focused company.
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The fintech platform migrated from Google Cloud to AWS, optimizing costs and enhancing scalability with AWS EKS and microservices. The migration resulted in cost savings and improved infrastructure to support future growth.
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miR Scientific faced the challenge of managing large volumes of sensitive data as their prostate cancer detection solution gained popularity. Migrating to an AWS cloud infrastructure provided enhanced security, cost optimization, and scalability, enabling them to efficiently manage patient data.
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Molinos Río de la Plata automated the data extraction process from the Precios Claros program on AWS cloud. This solution eliminated manual work, reduced operational times and errors, and enhanced data availability for strategic decision-making.
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EPA Bienestar, focused on health and well-being, faced the challenge of improving medical data analysis. A robust infrastructure was developed to efficiently extract and visualize key metrics through an interactive dashboard. This improved decision-making, optimized operational efficiency, and enhanced healthcare service quality.
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The digital wallet needed to secure its cloud infrastructure to comply with PCI DSS security standards. The project focused on evaluating and optimizing their AWS environment, ensuring data protection and transaction security. As a result, MODO was able to offer secure financial services and meet regulatory requirements, ensuring user trust.
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La Caja implemented a secure authentication system on its Web Empresas portal using AWS Cognito. With the support of AWS, services like AWS IAM, Lambda, and Amazon SES were configured, ensuring a secure and efficient integration. The project enabled La Caja to develop a reliable and scalable platform for its users, while also training its team from scratch to independently manage the system.
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A children’s clothing brand facing an increase in online transaction fraud implemented an AI-based fraud detection solution using XGBoost on Amazon SageMaker. This enabled real-time identification and prevention of fraudulent transactions. The solution reduced fraud, improved the customer experience, and enhanced platform security, preparing Carestino to handle a higher transaction volume and continue its expansion with confidence.
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The company faced challenges with manual document validation, causing delays and errors. They implemented an AI-based solution using OCR and Amazon Textract to automate the process. This improved accuracy, reduced costs, and increased efficiency, allowing them to process more documents without additional staff.
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Cliengo faced the challenge of migrating from Heroku to AWS. The project involved implementing Kubernetes on AWS, creating automation pipelines, and establishing a branching strategy. As a result, they achieved a successful migration, with dockerized microservices and a more efficient and scalable deployment system.
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The platform for soft skills development implemented a Generative BI project with Amazon QuickSight and Amazon Q. This allowed for optimized data interpretation and the provision of personalized dashboards to its users, creating a new business line and increasing revenue by 10%.
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