Elastic N.V.ESTC

Elastic platform features an embedded AI agent, support for third-party AI agents, and a vector database.

“Our platform is able to ingest data from any source, in any format, and perform search, analysis, and visualization of that data. With Elasticsearch at its core, our platform is a highly scalable document store, columnar database, and search engine and is the unified data store for all of our solutions and use cases. Featuring a common, solution-agnostic user interface with an embedded AI agent and support for third-party AI agents, our platform offers powerful drag-and-drop visual analytics, centralized management capabilities, and the world's most downloaded open source vector database, which gives developers a full suite of sophisticated retrieval algorithms and the ability to integrate with large language models. It delivers the comprehensive set of capabilities developers need to build, maintain, and secure next-generation applications and services. Our platform can be used by developers and IT decision makers to power a variety of use cases.”

Elastic plans to invest in context engineering, AI models, and agentic workflows for its platform.

“Developing new features for the Elasticsearch Platform. Our platform is applied to various use cases by customers, including through the solutions we offer. Our revenue is derived primarily from subscriptions of Search & AI, Elastic Observability, and Elastic Security built into our platform. We believe that releasing additional features of our platform, including our solutions, drives usage of our products and ultimately drives our growth. To that end, we plan to continue to invest in building new features and solutions that expand the capabilities of our platform, specifically including investments in context engineering, AI models, and agentic workflows. We also intend to continue to pursue acquisitions selectively to enhance the technology in our platform and our solutions. These investments may adversely affect our operating results prior to generating benefits, to the extent that they ultimately generate benefits at all.”

Elastic platform features embedded AI agent, supports third-party AI agents, and vector database.

“Our platform is able to ingest data from any source, in any format, and perform search, analysis, and visualization of that data. With Elasticsearch at its core, our platform is a highly scalable document store, columnar database, and search engine and is the unified data store for all of our solutions and use cases. Featuring a common, solution-agnostic user interface with an embedded AI agent and support for third-party AI agents, our platform offers powerful drag-and-drop visual analytics, centralized management capabilities, and the world's most downloaded open source vector database, which gives developers a full suite of sophisticated retrieval algorithms and the ability to integrate with large language models (“LLM”). It delivers the comprehensive set of capabilities developers need to build, maintain, and secure next-generation applications and services. In addition, our out-of-the-box solutions (Elastic Observability and Elastic Security) deliver fast time-to-value for common use cases and, paired with our developer-centric platform which is extensible and customizable, allow us to innovate quickly and differentiate our offerings at every level.”

Elastic Search & AI includes embedding models and an agent builder.

“• Search & AI. Powered by Elasticsearch, Search & AI includes context engineering and AI, combining a scalable distributed data store, vector database, hybrid search, embedding and reranking AI models, and an agent builder. Elasticsearch simplifies building search, AI, and agentic applications by unifying structured and unstructured data, along with vectors into a single, low-latency engine that delivers precise relevance. Built for production, Elasticsearch scales with near real-time performance and cost efficiency, powering high-throughput ingestion and supporting petabyte-scale datasets.”

Elastic Observability is an agentic platform that supplies context to AI agents for triage and remediation.

“• Elastic Observability. Our agentic observability platform brings logs, metrics, and traces into a unified datastore so SRE/Operations teams and AI agents can investigate, correlate, and resolve issues across applications, networks, and infrastructure. Observability includes log analytics, to search, analyze, and visualize petabytes of structured and unstructured logs; infrastructure monitoring, for visibility across cloud, on-premises, Kubernetes, serverless, and hosts; Application Performance Monitoring (“APM”), support for native production-grade OpenTelemetry without proprietary agents and broad language support to pinpoint code issues and debug faster; digital experience monitoring, to improve user experience with synthetic testing and real user monitoring (“RUM”); Streams, which parse and structure raw telemetry data without rebuilding pipelines and Significant Events, which surface critical errors, anomalies, and system changes, cutting time to root cause and giving AI agents the grounded context they need to triage alerts, run investigations, and propose remediations; and LLM observability, to track latency, errors, prompts, responses, usage, and costs across major LLM services and agent frameworks.”

Elastic Security is an agentic platform where agents handle data ingestion through response.

“• Elastic Security. Elastic Security is an agentic security operations platform where agents handle the full lifecycle from data ingestion through response, and human analysts handle judgment, verification, and approval. Built on the Elasticsearch data and AI platform, it provides unified protection to prevent, detect, and respond to threats. The solution combines Security Information and Event Management (“SIEM”), Extended Detection and Response (“XDR”), endpoint security with third-party integrations and first-party protections, cloud security, and native Security Orchestration, Automation, and Response (“SOAR”) capabilities in a single platform, with integrations across network, host, user, cloud, and endpoint data sources. It enables investigations, incident management, shareable analytics, and workflow automation with AI-driven detection, investigation, and response.”

Elastic offers comprehensive AI capabilities including agentic workflows in its platform.

“• Extend our product leadership through continued investment in our technology. We continue to invest in our platform, solutions, and services to extend into new use cases, industries, geographies, and customers. We regularly deliver new and enhanced capabilities to our customers, such as the enhanced AI technology integrated in our platform, through regular releases, to which everyone has access based on our subscription model. We continue to offer comprehensive AI capabilities in several key areas, providing organizations with tools and infrastructure to leverage AI, including vector search capabilities, inference and retrieval application programming interfaces (“APIs”), embedding and relevance models, agentic workflows, data ingestion, data management, and domain-specific applications. We view our AI capabilities as a major competitive differentiator for our products and intend to continue to invest in additional features and functionality related to AI. We also offer Elastic Cloud Serverless, a fully-managed, stateless architecture that auto-scales with customer usage. We manage the underlying deployment and customers benefit from automatic upgrades. Our technology investments include foundational platform capabilities as well as solution enhancements for our target use cases.”

Elastic Agent Builder lets users create AI agents that answer questions and take actions over customer data.

“• Agent Builder. Elastic Agent Builder is an AI conversational capability that lets you create AI agents that answer questions and take actions over any customer data using natural language. Agents combine LLM reasoning and context engineering with built-in and custom tools that query customer data, so responses are grounded in customer context.”

Elastic announced general availability of Agent Builder for custom AI agents.

“• Announced general availability of Agent Builder, an addition to the Elasticsearch context engineering platform that helps developers quickly create custom AI agents and have a conversation with their data”

Elastic added Jina Reranker and embedding models for agentic workloads.

“• Added two Jina Reranker models and an embedding model available on Elastic Inference Service (EIS) to deliver low-latency, high-precision multilingual reranking for hybrid search and Agentic workloads”

Elastic received AWS Agentic AI Specialization for its capabilities and customer case studies.

“• Awarded the AWS Agentic AI Specialization based on our advanced Agentic AI capabilities and customer case studies, deepening our partnership with AWS”

Elastic launched Agent Builder in technical preview for creating AI agents.

“• Launched Agent Builder in technical preview, a context engineering platform that helps developers create AI agents using their own data through a conversational interface”

Elastic introduced Streams, an agentic AI capability in Elastic Observability for logs.

“• Introduced Streams, an agentic AI capability within Elastic Observability to automatically organize, find meaning, and surface problems from logs”