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Building effective AI agents requires more than just large language models; they need deep, actionable context from an organization's proprietary data. Elastic, the Search AI Company, has achieved the AWS Agentic AI Specialization, validating its expertise in deploying autonomous AI systems. The recognition highlights Elastic's use of its core search platform to provide the context engineering and tool-building capabilities necessary for agents to reason, plan, and execute complex business processes on AWS.
Elastic achieves the new AWS Agentic AI Specialization.
The specialization recognizes Elastic's expertise in deploying context-aware, autonomous AI agents.
Elastic's search platform provides the data retrieval and tool-building foundation for effective agents.
The company recently introduced Agent Builder, a tool for creating custom AI agents on proprietary data.
These capabilities are integrated into Elastic's Observability and Security solutions for faster issue resolution.
The specialization helps customers move beyond AI experiments to production-ready systems.
A key differentiator for Elastic is its focus on "context engineering." The company positions its Elasticsearch platform as the essential layer that unlocks post-training data trapped in silos across an enterprise. By storing, searching, and retrieving both structured and unstructured data, Elasticsearch provides agents with the real-time, relevant context needed to successfully navigate complex tasks, make accurate decisions, and execute actions—moving beyond generic responses to tailored, data-informed automation.
Alyssa Fitzpatrick, global vice president of Partner Sales at Elastic, explained: "The AWS Agentic AI Specialization is recognition of how the Elasticsearch platform for context engineering makes it easy to build AI agents that give the right answers and take the right actions. We use this robust platform to build agentic experiences into our product so that, for example, our Observability and Security customers can investigate and resolve issues fast."
To operationalize this capability, Elastic recently introduced Agent Builder, a set of capabilities powered by Elasticsearch. This tool allows developers to quickly compose custom AI agents that leverage sophisticated data querying tools. Built on Amazon Bedrock and utilizing reasoning models from Anthropic by default, Agent Builder enables conversation-based data exploration and automation directly on a company's proprietary data, accelerating the path from concept to production.
Achieving the AWS specialization serves as a formal validation of Elastic's technical prowess and customer success in this domain. It assures enterprise customers that Elastic possesses the proven expertise to build and implement production-ready autonomous systems. These systems are designed for complex, end-to-end business processes across use cases like intelligent process automation, autonomous customer operations, and security/observability workflows, where context is king.
Elastic's achievement underscores a critical trend in the agentic AI landscape: the convergence of advanced search/retrieval technology with reasoning models. By specializing in providing the contextual "grounding" layer, Elastic is carving out a vital niche. This approach ensures that AI agents are not just intelligent in a general sense but are precisely informed by an organization's unique data, making them far more effective and trustworthy for mission-critical business automation.
About Elastic
Elastic, the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500.
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