Multi-year agreement combines technical investment, co-selling and industry solutions to help enterprises deploy autonomous AI agents using real-time, governed data across hybrid and multi-cloud environments.
Denodo has signed a multi-year strategic collaboration agreement with Amazon Web Services (AWS) to help enterprises move agentic AI from experimentation to production. The agreement expands the companies’ existing partnership through joint go-to-market initiatives, technical investment and industry-specific solutions built around the Denodo Platform on AWS.
The collaboration addresses a growing challenge for enterprise AI: autonomous agents need access to current, reliable business information, but organisational data remains distributed across on-premises infrastructure, SaaS applications, sovereign environments and multiple clouds. Conventional data architectures, often dependent on migration and replication, can struggle to provide the real-time context required for agents to make decisions and execute actions.
Under the agreement, Denodo and AWS will conduct customer workshops to identify high-value agentic AI use cases, launch joint marketing campaigns, strengthen field alignment and co-selling, and offer commercial incentives for technical evaluations and AWS Marketplace purchases. They will also work with systems integrators to develop solutions for business processes such as banking fraud prevention, insurance claims processing and predictive maintenance in manufacturing.
“Agentic AI can transform how enterprises operate, but the data that powers it remains highly fragmented, and traditional architectures were never designed for the real-time demands of autonomous agents.”
— Ángel Viña, CEO, Denodo
“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,” said Ángel Viña, CEO of Denodo. He added that the collaboration is intended to help customers move from pilots to production faster and scale deployments with greater confidence.
For AWS, the partnership is aimed at extending the value of its AI investments across customers’ wider data estates. Allison Johnson, Director of Americas Technology Partners at AWS, said the collaboration connects AWS model hosting, agent orchestration and monitoring services with operational data and context wherever it resides. This, she said, can help organisations ground autonomous systems in trusted information and support more accurate decisions.
The Denodo Platform can extend services including Amazon Bedrock AgentCore, Amazon Quick and Amazon SageMaker to enterprise data distributed across hybrid and multi-cloud environments. Its zero-copy approach allows AI agents and analytics applications to access governed information without requiring every dataset to be migrated or replicated into new pipelines. Reusable data products, semantic definitions and access policies can also reduce the need to build separate data-access mechanisms for individual agents.
Customer experience provides an indication of the model’s potential. Bayer Crop Science in Latin America uses Denodo and AWS to access distributed data in real time and establish consistent semantics across cloud and on-premises systems. Eric Carvalho, Data Architecture Manager at Bayer, said the organisation reduced the time teams spent searching for data by 80% using AWS solutions powered by Denodo’s AI data layer. It now has autonomous customer service and tracking agents in production.
Denodo is an AWS ISV Accelerate Partner with a SaaS co-sell eligible solution and holds AWS Data Software and Financial Services Technology competencies. Customers can deploy its platform as a managed cloud service through Agora or within their own AWS accounts. Availability through AWS Marketplace also enables streamlined procurement and consolidated billing.
The agreement reflects a broader shift in enterprise AI strategy. As organisations move beyond isolated copilots towards agents capable of executing multi-step business processes, trusted data access, governance and context are becoming essential infrastructure. The partnership positions the data layer as a critical component in making those systems operational at enterprise scale.
