Elastic’s cover photo
Elastic

Elastic

Software Development

San Francisco, California 520,688 followers

About us

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Website
http://www.elastic.co
Industry
Software Development
Company size
1,001-5,000 employees
Headquarters
San Francisco, California
Type
Public Company
Specialties
Big Data, AWS, Kibana, Observability, APM, Search, Distributed, Lucene, Database, Open Source, Cloud, SIEM, Security, Logging, Analytics, Elasticsearch, App Search, Site Search, Enterprise Search, and ELK

Locations

Employees at Elastic

Updates

  • View organization page for Elastic

    520,688 followers

    Building AI agents is easy. Building ones that actually understand your enterprise data and act safely on it is the hard part. Elastic Agent Builder lets you: • Ground agents in your indexed data across logs, metrics, security signals, and business systems • Use natural language to query and reason across structured and unstructured sources • Deploy agents that can take action through controlled, rules-based automation • Iterate quickly without stitching together multiple tools. With Elastic Agent Builder, your agents are context-aware, grounded in real data, and able to move from insight to action — in minutes. Watch the demo below.

  • View organization page for Elastic

    520,688 followers

    The Elasticsearch Agent Builder Hackathon is live! From now until Feb 27, build context-driven, multi-step AI agents that actually get work done. Use Elastic Agent Builder + Elasticsearch tools (Search, Workflows, ES|QL) to automate real-world tasks, orchestrate tools, and reason across multiple steps. Why join? 👉 Solve real problems: Design agents that reason, act, and finish tasks. 👉 Level up fast: Practice multi-step reasoning, tool orchestration, and stateful workflows. 👉 Win & get seen: $20,000 in cash prizes + features on the Elastic blog and social channels. Don’t just build prompts—build agents that actually get work done. Register today → https://go.es.io/45XsWAK

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  • View organization page for Elastic

    520,688 followers

    The Elastic Public Roadmap is here — now live on GitHub. At Elastic, we believe in building in the open. Publishing our public roadmap is a step toward even greater transparency, collaboration, and customer/community-first development. With the Elastic Public Roadmap, you can: • see planned launches • explore what’s coming in the next 6–9 months • filter by solution (Security, Observability, Search, and more) • search by version/release You now have the map. It’s time to explore. Learn more 👉 https://go.es.io/462sQrr

  • View organization page for Elastic

    520,688 followers

    On-demand webinar: If you're a security analyst trying to escape the manual grind or a leader trying to scale effectiveness without scaling headcount linearly, we'll show you how to shift from reactive firefighting to proactive understanding. Real-world security investigations rarely follow playbooks. Alerts are incomplete, context is scattered, and analysts spend too much time manually figuring out what happened before deciding the next step. Join Elastic’s James Spiteri and Tinsae E. moderated by Dark Reading ’s Terry Sweeney, for “Security Automation in the Agentic Era: Unifying Data, Context, and Action” to see how Elastic Workflows + AI agents help teams: • Automate repeatable security tasks • Gather context, correlate signals, and reduce ambiguity • Improve alert enrichment, case handling, and early investigation • Benefit from better starting points while staying in control Watch now: https://go.es.io/4qOYSil

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  • View organization page for Elastic

    520,688 followers

    GPU-accelerated vector indexing has arrived as a technical preview. Elasticsearch now integrates NVIDIA cuVS (open source library for GPU-accelerated vector search and data clustering). Self-managed Elastic customers can accelerate data indexing using NVIDIA GPUs. Customers can expect: ⚡ 12x improvement in indexing throughput ⚡ 7x faster force merging Offloading vector indexing to GPUs also frees up CPU cycles that can be redirected to improve search performance. Learn more: https://go.es.io/4qt51k4

  • View organization page for Elastic

    520,688 followers

    Elastic Workflows is changing automation. 👉Developers can turn manual processes into reliable, reusable workflows—no more patchwork code or fragile integrations. 👉Security teams can automate routine investigations, while AI agents step in when situations need judgment. 👉Operations teams can keep systems running smoothly, with scripted automation to handle the expected and AI agents ready for the unexpected. All natively in Elasticsearch, with full data context and fewer handoffs between tools. See how Elastic Workflows brings automation and AI agent reasoning to real-world challenges. https://go.es.io/4kfo7IF

  • View organization page for Elastic

    520,688 followers

    Proud to share Elastic 9.3 — an exciting release with major new capabilities across Elastic Workflows, Elastic Agent Builder, Jina AI models, GPU-accelerated vector indexing, and EIS via Cloud Connect. 👏

    View profile for Ken Exner

    We just released Elastic 9.3 and it's a really special release. That’s because two of our acquisitions from last year are a major part of the release. 1️⃣ Elastic Workflows grew out of our acquisition of Keep. The team has brought workflow automation into Elastic, so you can automate business processes and more, all right where your data lives in Elastic. 2️⃣ Now that Jina AI is part of Elastic, three models are generally available via the Elastic Inference Service (EIS). Going forward, all new Jina AI models will be provided through EIS, as we work to become the best at relevancy and accuracy. It’s always exciting to see the Elastic team grow, and to see our new team members making incredible contributions. Go team! What else is in 9.3? 3️⃣ With Elastic Agent Builder, now generally available, you can start developing AI agents in minutes, building agents on top of the data you already have in Elastic. 4️⃣ GPU-accelerated vector indexing is in tech preview. Self-managed Elastic customers can now accelerate data indexing using NVIDIA GPUs. 5️⃣ EIS is available via Cloud Connect, which lets self-managed clusters offload inference to managed GPT infrastructure in Elastic Cloud, while keeping data, storage and indexing local. Learn more at https://lnkd.in/gPPsG4Db

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  • View organization page for Elastic

    520,688 followers

    AI agents shouldn’t stop at insights. They should be able to act. Today we’re introducing Elastic Workflows — native automation built directly into Elasticsearch. Elastic Workflows combines: •Reliable, scripted automation •AI agent reasoning for messy, real-world problems •Full data context, without fragile integrations The result: faster decisions, smoother automation, and fewer handoffs between tools. See what native automation looks like → https://go.es.io/3ZbHrNt

  • View organization page for Elastic

    520,688 followers

    Today, Elastic 9.3 is now available, bringing new ways to work with your data—ask questions in plain language, build AI agents, and automate what happens next. It’s a step forward in how teams interact with data and turn insight into action. With this release, Elastic Agent Builder is now generally available, making it possible to chat with Elasticsearch data and create AI agents that understand real context. Instead of stitching together tools or writing custom integrations, teams can build agents directly on top of the data they already trust. Elastic 9.3 also introduces native automation with Elastic Workflows. By bringing Workflows into the platform, teams can move from insight to action more easily—triggering responses, investigations, and operational tasks where their data already lives. To support faster and more scalable AI experiences, Elastic 9.3 makes three Jina AI models generally available through the Elastic Inference Service. These models deliver fast, GPU-accelerated embeddings and high-precision multilingual reranking—making search and retrieval more accurate and easier to scale. Elastic 9.3 is available now on Elastic Cloud. Learn more: https://go.es.io/4kcMkzj

  • View organization page for Elastic

    520,688 followers

    What does the future of security look like in 2026? AI is lowering the barrier to entry for attackers — forcing security teams to rethink scale and sophistication at an AI-fueled level. Join Elastic’s H. Michael Nichols, GM of Security, and Forrester Principal Analyst Allie Mellen for our upcoming webinar exploring how AI, automation, and data sovereignty are reshaping the SOC. What we’ll cover: • How AI is lowering the barrier to sophisticated attacks • What “intelligent” automation actually looks like in practice • Data sovereignty challenges every global SOC must plan for 📅 February 6, 2026 Register now: https://go.es.io/4rmNhaB

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Funding

Elastic 5 total rounds

Last Round

Secondary market
See more info on crunchbase