Introduction
Elastic began as a personal project: in 2004, Shay Banon built a recipe-search application for his wife, who was studying at Le Cordon Bleu, and spent the following years refining that work into Elasticsearch, an open-source, distributed search engine released in 2010. In 2012, Banon co-founded a company — first called Elasticsearch BV, later renamed Elastic — with Steven Schuurman, Uri Boness, and Simon Willnauer to commercialize the project alongside two complementary open-source tools, Logstash and Kibana, that together became known as the ELK Stack. Elastic went public on the New York Stock Exchange under the ticker ESTC in October 2018 and describes itself today, without irony, as a distributed company with no single principal executive office, though it maintains significant operations in both Amsterdam and San Francisco.
What the company does
Elastic’s core technology is the Elastic Stack — Elasticsearch for distributed search and analytics, Kibana for visualization, and Logstash and Beats for data ingestion — packaged commercially as the Elastic Search AI Platform. On top of that shared search infrastructure, Elastic sells three product lines built for different buyers: Elastic Enterprise Search, Elastic Observability, and Elastic Security, the last of which combines SIEM, endpoint protection, and extended detection and response (XDR) capabilities for security operations teams searching and correlating large volumes of log and telemetry data in something close to real time.
Who it serves
Elastic’s customer base spans general enterprise search and observability buyers as well as dedicated security operations teams, and the company says its platform is used by more than half of the Fortune 500. Because Elastic Security runs on the same underlying Elasticsearch engine as Elastic’s search and observability products, organizations that already use Elastic Stack for logging or application monitoring often adopt Elastic Security as an extension of infrastructure they operate already, rather than introducing an entirely separate SIEM vendor.
Company background
Elastic is legally registered in Amsterdam, the Netherlands, and its SEC filings describe it explicitly as a distributed company without a single principal executive office, while its investor relations materials and much of its senior leadership operate out of San Francisco. Ashutosh Kulkarni serves as chief executive, with founder Shay Banon continuing as chief technology officer — a common pattern among technical founders who remain close to product direction after professionalizing the CEO role. For fiscal year 2026, Elastic’s investor relations site reported total revenue of $1.739 billion and more than 1,720 customers with annual contract value above $100,000, continuing growth from fiscal 2025’s $1.483 billion in revenue, a 17% year-over-year increase the company attributed in part to AI-enhanced Elastic Cloud offerings.
Product and AI capabilities
Elastic markets itself as ‘the Search AI Company,’ framing Elasticsearch’s vector search and retrieval-augmented generation (RAG) capabilities as the foundation for AI features across all three of its product lines rather than treating AI as a bolt-on. Inside Elastic Security specifically, that has translated into AI-assisted detection-rule generation, natural-language querying of security telemetry, and — most recently, as of June 2026 — ‘agentic investigation experiences’ that let analysts delegate parts of an alert triage workflow to an AI agent operating over Elasticsearch-indexed data, alongside native support for ingesting Prometheus metrics directly into Elastic’s observability and security tooling.
Key developments
Elastic’s October 2018 NYSE listing gave it public-company visibility a full four years before generative AI became a mainstream enterprise concern, which has let the company frame its AI investments as an extension of a long-running search-and-relevance research program rather than a reactive pivot. In June 2026 alone, Elastic was named a Leader in IDC’s MarketScape for worldwide SIEM, a Strong Performer in Forrester’s Q2 2026 evaluation of Extended Detection and Response Platforms, and shipped native Prometheus support alongside new agentic investigation features in Elastic Security — a cluster of analyst recognition and product releases that Elastic has used to argue its security business has matured well beyond its origins as a general-purpose search tool repurposed for logs.
Why it matters
A meaningful share of the security industry’s SIEM and log-analytics infrastructure — including at organizations that never explicitly set out to buy a ‘security product’ — runs on Elasticsearch underneath the surface, which makes Elastic a useful lens for understanding how much of AI-driven threat detection depends on open-source search and indexing technology rather than security-specific data stores built from scratch. Its 2026 analyst recognition in both SIEM and XDR categories also illustrates how thoroughly the lines between search, observability, and security tooling have blurred for vendors that started in one category and expanded into the others.
Sector context
Within Brel’s cybersecurity coverage, Elastic Security competes for SIEM and XDR budget against both dedicated security vendors and the security modules of adjacent platforms, and its open-source Elasticsearch core distinguishes it from proprietary-data-store competitors in a way that has shaped its pricing and self-hosting flexibility for security teams wary of vendor lock-in.
Sources and references
This profile is based on Elastic’s investor relations overview page, its SEC-filed fiscal year 2025 annual report, and Elastic’s Wikipedia entry for corporate history and founder details, cross-checked against each source’s figures where they overlap.