AI built for SREs

Automatically detect issues, take recommended actions, and resolve problems faster with machine learning (ML) and generative AI.

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Guided Demo

Your always-on teammate for ops

Ask natural-language questions and get accurate answers — grounded in your observability data, ML jobs, and internal knowledge, like runbooks or past incidents.

CORE AI TECHNOLOGY

How we turn observability data into operational intelligence

Elastic AI understands your data — and what to do with it.

  • CONVERSATIONAL AI

    Chat-based investigations

    Investigate complex issues and troubleshoot faster through integrated natural language conversations with an AI Assistant for Observability.

  • RETRIEVAL AUGMENTED GENERATION (RAG)

    RAG keeps it real

    Elastic's GenAI capabilities are powered by RAG that pulls from your actual observability data and knowledgebases. That means responses are free from hallucinations and tailored to your environment.

  • AGENTIC WORKFLOWS

    AI that takes action

    Resolve issues faster with an AI Assistant that triggers native product actions to interactively generate visualizations, queries, and dashboards without switching context.

  • INLINE ASSISTANCE

    Always-on embedded context

    Get answers before you ask. Proactive GenAI insights embedded into the UI automatically annotate logs, traces, and errors to accelerate investigations.

  • MACHINE LEARNING (ML)

    Data-agnostic ML engine

    Detect anomalies, forecast trends, and identify outliers with zero-config machine learning. Elastic preserves consistent context across all signals, enabling pattern analysis and correlation across any type of data.

  • SEARCH AI PLATFORM

    Open by design

    Along with native support for OpenTelemetry, Elastic integrates open ML models and supports custom ingest pipelines, giving you the flexibility to deploy AI on your terms — all within an open and scalable Search AI Platform.

AI-DRIVEN FEATURES

Let AI handle the toil

Elastic ingests data from anywhere and automatically surfaces patterns, highlights anomalies, and pinpoints spikes — so you get answers, not overload.

MACHINE LEARNING

What's under the hood

Elastic's machine learning engine is built to handle any data, at any scale, for any use case — with no limits on dimensionality or cardinality. It’s accessible through intuitive wizards built for beginners and experts alike.

  • Elastic's common open source schema (ECS) and flexible ingest pipelines make it easy to transform, enrich, and normalize data for better ML outcomes.

  • Elastic has over 100 out-of-the-box anomaly detection jobs, which automatically learn trends, periodicity, and baseline behavior across log analytics, APM, user experience, and infrastructure monitoring.

  • Elastic uses both unsupervised learning (e.g., clustering, Bayesian modeling, and correlation analysis) and supervised techniques (e.g., classification and regression) for a wide range of detection, annotation, and predictive tasks.

See why companies like yours choose Elastic Observability

From root cause to resolution, accelerated by AI.

  • Customer spotlight

    Dish Media uses Elastic to spot anomalies in real time, cut resolution times from hours to minutes, and give developers instant access to the data they need — all from one unified view.

  • Customer spotlight

    Elastic AI Assistant helped Hexaware boost team efficiency by 50% with teams now able to generate custom charts in minutes, not hours. With Elastic machine learning, false positive alerts dropped by 96%.

  • Customer spotlight

    Informatica applies Elastic's built-in machine learning across database, network, and Kubernetes logs to proactively detect anomalies and resolve issues faster — while reducing observability and security costs by 50%.

Leading the future of observability

See why Elastic was named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms.

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