Denodo and AWS signed a multi-year strategic collaboration agreement in Riyadh to expand enterprise access to real-time data for autonomous AI systems. The agreement focuses on helping organizations deploy and manage agentic artificial intelligence applications across hybrid and multi-cloud environments.
Key Initiatives in the Collaboration
The multi-year agreement builds on the existing relationship between the two companies. Under this plan, joint initiatives include workshops to help business clients identify high-value operational use cases, alongside co-marketing campaigns to demonstrate the Denodo Platform on AWS infrastructure.
In addition, technical teams will provide co-selling alignment and commercial incentives for system trials and AWS Marketplace transactions. The companies also plan to work with systems integrators to build targeted process workflows, such as banking fraud detection, insurance claims processing, and manufacturing maintenance schedules.
Executive Perspectives on Real-Time Data
Corporate leaders emphasized that autonomous agents require immediate access to accurate company records without complex data replication pipelines.
“Together with AWS, we give joint customers a unified AI data layer so that agents can access live, governed data and active context across every enterprise source, without moving or replicating it.”
Ángel Viña, CEO of Denodo
“Our collaboration with Denodo helps customers extend the value of their AWS AI investments across their entire data estate, connecting AWS model hosting, agent orchestration, and monitoring services with current, operational data and context wherever it resides.”
Allison Johnson, Director of Americas Technology Partners at AWS
Expanding Denodo and AWS Enterprise Solutions
Specifically, the arrangement links the Denodo SaaS and self-managed software with AWS services such as Amazon Bedrock AgentCore, Amazon Quick, and Amazon SageMaker. Through this zero-copy delivery approach, clients can reuse existing data products, semantic definitions, and security policies without migrating records.
As a result, business teams using enterprise apps can connect machine learning models directly to data residing in local databases, sovereign clouds, or competing cloud platforms. Through the collaboration, Denodo and AWS offer commercial incentives to support client procurement via cloud marketplace systems.
Enterprise Deployment and Implementation Results
Several multinational enterprises have already implemented the combined technologies. For instance, agricultural firm Bayer Crop Science Latin America uses Denodo and AWS to manage distributed data across both cloud and local servers.
According to Eric Carvalho, Data Architecture Manager at Bayer, the company decreased the time workers spent searching for records by 80% while deploying autonomous customer service and tracking agents in active production. Denodo currently offers its tools as a managed cloud service named Agora or as a direct installation in a client’s private cloud account.
Meanwhile, companies across the wider economy can purchase software licensing directly through AWS Marketplace to consolidate procurement and billing.
