ESTC · Elastic N.V.

MCP Apps bring Elastic’s security and observability workflows into third-party AI tools, enabling teams to act on data directly where they work, with additional capabilities for search and data exploration Elastic (NYSE: ESTC), the Search AI Company, today announced MCP Apps for Elastic, delivering first-of-their-kind agent-native UI experiences for security and observability workflows across third-party coding tools and chat clients. The new MCP Apps enable teams to investigate threats, diagnose system behavior, and act on data directly within the AI tools they already use, without switching tools or stitching together separate systems. Built on the Model Context Protocol (MCP) apps spec , the open standard co-authored by Anthropic and OpenAI, these apps allow AI assistants to return fully interactive user interfaces rendered directly within environments such as Claude, VS Code, GitHub Copilot, Goose, Postman, and MCPJam. Most AI integrations today stop at conversational text. That

Elastic (NYSE: ESTC), the Search AI Company, announced it has received the 2026 Google Cloud Partner of the Year Award in the Marketplace category for Data Management & AI. This marks the fifth year Elastic has been recognized by Google Cloud, reflecting continued collaboration to help joint customers deploy Generative AI solutions that deliver meaningful impact through faster development cycles, significant performance gains and lower operational costs. “The Google Cloud Partner Awards honor the strategic innovation and measurable value our partners bring to customers,” said Kevin Ichhpurani, president, Global Partner Ecosystem and Channels, Google Cloud . “We are proud to name Elastic a 2026 Google Cloud Partner Award winner, celebrating their role in driving customer success over the last year.” Elastic works closely with Google Cloud across Search, Observability, and Security, with integrations that allow customers to use Elastic as a data foundation for AI applications built

Elastic deepens existing collaborations with NVIDIA, Dell Technologies, and Red Hat to deliver accelerated vector search and validated AI factory infrastructure for production-scale AI SAN FRANCISCO, April 16, 2026 - Elastic (NYSE: ESTC), the Search AI Company, has expanded integrations with NVIDIA, Dell Technologies, and Red Hat to help enterprises move faster to production-scale AI with high-performance vector search and accelerated compute. These integrations combine Elastic’s vector database capabilities with GPU acceleration, validated AI factory designs, and enterprise-grade infrastructure, enabling organizations to build and scale RAG and agentic AI applications. As organizations invest heavily in AI, success depends on infrastructure that can store massive data volumes, retrieve real-time context, and agentic AI that reason and take action utilizing enterprise data sources. Elastic and its partners are delivering that foundation with multiple integrations across validated AI

U.S. federal agencies can now use Elastic for mission-critical use cases involving the most sensitive, unclassified government data on AWS GovCloud (US) Elastic (NYSE: ESTC), the Search AI Company, announced that Elastic Cloud Hosted has achieved the Federal Risk and Authorization Management Program (FedRAMP ® ) High authorization on AWS GovCloud (US). With this authorization, U.S. federal agencies can deploy Elastic Cloud Hosted to support high-impact workloads and the most sensitive government data, including cyber defense and investigations, Zero Trust initiatives, and AI-powered mission applications. Secure foundation for modern federal missions FedRAMP High is the program’s most rigorous security baseline, requiring more than 400 security controls to protect highly sensitive, unclassified government data, including controlled unclassified information (CUI). It provides a standardized government-wide approach to security assessment, authorization, and continuous monitoring for

Elastic Security ends the “endpoint tax” to deliver world-class XDR protection without per-endpoint fees Elastic (NYSE: ESTC), the Search AI Company, today announced it is eliminating per-endpoint pricing for Elastic Security XDR, the platform rated at 100% protection by AV-Comparatives in its 2025 Business Security evaluation. By ending the “endpoint tax”, the agentic security operations platform is enabling organizations to achieve world-class protection across their environments while also helping them achieve full endpoint coverage, all while reducing total cost of ownership by up to 70% compared to other platforms. Per-endpoint pricing discourages teams from fully defending all systems by forcing them to decide which assets are worth protecting and which are not. In an era where AI enables attacks to move at machine speed, leaving parts of an environment unprotected is a risk organizations can no longer afford to take. By removing per-endpoint pricing entirely, Elastic Security

Elastic Workflows brings native automation directly into Elastic Security with no separate SOAR tool required Elastic (NYSE: ESTC), the Search AI Company, announced that Elastic Workflows, a native automation capability with direct access to alerts, cases, and investigation data, is now built directly into Elastic Security. By bringing native automation to the agentic security operations platform that already includes unified SIEM and XDR, Elastic is eliminating the “SOAR automation tax” by removing the need for a separate SOAR to turn insights into action. Traditionally, security teams have relied on a standalone SOAR to automate investigation and response. This adds complexity, requiring extra vendors, integrations, and ongoing maintenance. In a security landscape where adversaries are using AI to execute attacks in minutes, organizations can no longer rely on a response workflow stitched together across several vendors. Elastic Workflows embeds automation directly within Elastic

Q3 Revenue of $450 million, up 18% year-over-year Elastic (NYSE: ESTC), the Search AI Company, announced financial results for its third quarter of fiscal 2026 ended January 31, 2026. Third Quarter Fiscal 2026 Financial Highlights Total revenue was $450 million, an increase of 18% year-over-year, or 16% on a constant currency basis Total subscription revenue was $426 million, an increase of 19% year-over-year, or 17% on a constant currency basis Sales-led subscription revenue (calculated as subscription revenue excluding Monthly Elastic Cloud) was $376 million, an increase of 21% year-over-year, or 19% on a constant currency basis Current remaining performance obligations were $1.055 billion, an increase of 19% year-over-year, or 15% on a constant currency basis GAAP operating income was $1 million; GAAP operating margin was 0% Non-GAAP operating income was $83 million; non-GAAP operating margin was 18.6% GAAP diluted earnings per share was $0.07; non-GAAP diluted earnings per share

New Jina AI small language models deliver unmatched quality and efficiency on search and semantic tasks Elastic (NYSE: ESTC), the Search AI Company, today announced the availability of jina-embeddings-v5-text, a family of two small, Elasticsearch-native multilingual embedding models at 0.2B and 0.6B parameters that deliver state-of-the-art performance across key search and semantic tasks. Despite their compact size, they outperform significantly larger models with 7B to 14B parameters and achieve best-in-class results on the MMTEB (Multilingual MTEB) benchmark among models of comparable size and purpose. Their small footprint enables outstanding hybrid search at lower infrastructure cost, faster query response, and new deployment scenarios where memory and compute budgets are tight - including edge devices and resource-constrained environments. jina-embeddings-v5-text are available through multiple channels: as open-weight models on HuggingFace for self-hosted deployment via vLLM,