Elastic, a company specialising in search, has entered into a five-year strategic collaboration agreement with Amazon Web Services (AWS). The deal aims to help common customers transition into AI-native enterprises through joint product integrations and go-to-market initiatives.
Under the agreement, Elastic and AWS will work on technical integrations designed to help customers develop AI-driven applications more efficiently. The collaboration will focus on combining Elastic’s Search AI Platform with AWS services to enhance scalability, security and speed.
Key initiatives include enabling generative AI features in Elastic solutions using Amazon Bedrock, supporting migrations of Elasticsearch workloads to Elastic Cloud on AWS and improving cost efficiencies with Elastic Cloud Serverless. The partnership will also advance agentic AI through Model Context Protocol (MCP) and agent-to-agent interoperability while ensuring data protection for regulated industries.
“As the speed of generative AI adoption accelerates, search has become increasingly relevant,” said Elastic CEO Ashutosh Kulkarni. “Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we’re enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale.”
Ruba Borno, Vice President of Specialists and Partners, AWS, said: “Together with Elastic, we’re helping customers transform how they leverage data and AI to drive innovation. This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions.”
The strategic collaboration agreement builds on existing integrations between Elastic and AWS, including Elastic AI Assistant, Attack Discovery and AI Playground, which use large language models via Amazon Bedrock. These tools help automate data onboarding, simplify migrations and accelerate root cause analysis.
