December 2025 — We obtained the AWS Agentic AI Specialization, a new category within the AWS AI Competency program. This distinction recognizes our ability to help customers implement autonomous AI systems capable of reasoning, planning, and operating independently to execute complex business processes.
The AWS Agentic AI Specialization validates our technical expertise and proven track record in developing production-ready AI systems that can reason, collaborate, use tools, execute tasks, and continuously improve. Through our work with Amazon Bedrock Agents and other AWS-compatible frameworks, we support organizations in taking the decisive step from experimentation to the real deployment of autonomous solutions that generate tangible returns.
“Achieving the AWS Agentic AI Specialization is a powerful validation of the work we have been doing for years, both internally and alongside our clients, developing next-generation AI agents,” said Franco Salonia, CEO of DinoCloud. “This specialization is key because we deeply understand the significant business impact that the rapid adoption of AI agents is having on our clients’ workflows. By combining our expertise with the agility and breadth of AWS services, we are uniquely positioned to accelerate the path toward true operational autonomy.”
One of the most representative examples of this evolution is Rex Copilot, our CloudOps-focused AI agent and one of the first in its category worldwide. Rex Copilot enables IT teams to automate and optimize cloud operations while providing critical visibility into complex environments. This capability is central to our Next-Gen Managed Services practice, which goes beyond traditional cloud operations by integrating AI natively into every engagement: intelligent automation, predictive insights, and proactive performance management.
This specialization allows organizations to confidently identify partners with validated expertise in building and implementing enterprise-grade AI agents. These autonomous systems can manage end-to-end processes across use cases such as corporate knowledge operations, intelligent process automation, autonomous customer operations, financial automation, and supply chain optimization.
With this recognition, we reaffirm our commitment to driving the adoption of truly autonomous AI systems that transform business operations into a more efficient, scalable, and intelligent model.
