DinoCloud

DinoCloud, Inc. is a cloud consulting and engineering company that provides consulting, migration, product engineering, and managed services for cloud environments. The organisation maintains offices in Argentina and the United States and operates with clients across Latin America and the United States. The company is an AWS Premier Consulting Partner and delivers projects focused on cloud migrations, application modernization, data architectures, and managed cloud operations.

Services and Capabilities

• Cloud migration and migration strategy — planning and executing moves from on-premises or other clouds to AWS, including replatforming and lift-and-shift approaches.
• Application modernization and development — refactoring, replatforming, rebuilding applications, and custom web and application development hosted on AWS.
• Managed AWS services — ongoing cloud environment management, performance optimization, security and compliance operations, and operational runbooks for AWS accounts.
• Data engineering and analytics on AWS — data assessments, building data architectures and pipelines, business intelligence implementations, and dashboarding.
• AI and machine learning implementation — development of predictive models, AI/ML systems, and deployment of Generative AI solutions using large language models on AWS.

Industry Focus

• Financial technology (fintech) — executed cloud migrations and scalability projects for fintech platforms, including migrations that established secure, scalable, cost-effective AWS infrastructures and microservices-based deployments.
• Education and learning platforms — implemented analytics and Generative BI solutions to assist platforms focused on skills development, including dashboarding and automated data interpretation.
• General enterprise technology clients — delivered product development, cloud-native application builds, and managed cloud operations for organisations seeking cloud adoption and modernization.

Technology and Delivery Approach

• AWS-centric implementations — work is executed using AWS services and patterns, with formal partnership status at the Premier Consulting level, indicating deep AWS engagement.
• Containerization and orchestration — use of AWS EKS and microservices architectures for scalability and decoupled deployments.
• Data platforms and BI — delivery of data pipelines, analytics environments, and BI tooling (for example, Amazon QuickSight and Amazon Q) to convert raw data into dashboards and insights.
• AI/ML and Generative AI — integration of machine learning models and large language models into workflows and products to automate tasks and produce predictive and generative outputs.
• Managed delivery and operations — provision of managed services for cloud environments including performance optimization, compliance support, and ongoing operational management.
• Cloud-to-cloud and cloud migrations — executing migrations from other cloud providers to AWS, including assessment, planning, and execution phases.

Corporate Responsibility — The organisation runs an initiative called DinoImpact focused on social and environmental projects that apply technology to community and impact work.