Elastic (ESTC) Rosenblatt 4th Annual Technology Summit summary

Business overview and market positioning

• Elasticsearch is a widely adopted distributed search engine, downloaded over 4 billion times and used by a broad range of organizations from small businesses to large enterprises.

• The platform's core offerings span search, observability, and security, all leveraging the same underlying technology.

• Multiple commercial tiers provide enterprise-grade features on top of the open source core.

• Elastic's open approach allows customers to build flexible applications tailored to their needs.

AI strategy and product innovation

• Investments focus on enhancing Elasticsearch for AI, including vector search and integration of machine learning models.

• The Elasticsearch Relevance Engine (ESRE) enables seamless use of transformer models and direct integration with major LLM APIs like GPT-4 and Gemini.

• AI-powered features such as security assistants and Attack Discovery automate and simplify customer workflows.

• Open Inference API supports integration with a wide range of third-party and proprietary models.

Customer adoption and use cases

• Enterprises are moving beyond experimentation, deploying AI-powered applications in production, especially for customer support and internal knowledge management.

• Elasticsearch acts as a bridge between enterprise data and foundation models, enabling retrieval-augmented generation (RAG) workflows.

• Existing customers benefit from having their data already indexed, facilitating rapid adoption of new GenAI capabilities.