Elastic and OpenAI Expand Collaboration to Unlock Enterprise AI with Unstructured Data

Elastic and OpenAI Collaborate to Bring Frontier Intelligence to Unstructured Enterprise Data

Collaboration combines OpenAI's advanced reasoning models with governed enterprise context in Elasticsearch across AI applications, security operations, and observability Elastic today announced an expanded collaboration with OpenAI to help organizations build production-ready AI applications and agents using OpenAI models with Elasticsearch. By combining Elasticsearch's retrieval, search and governance capabilities with OpenAI's advanced reasoning models, organizations can ground AI in their own enterprise data to enable more accurate, secure and reliable AI at scale. AI agents are only as useful as the enterprise context they can access. Yet most of that information remains out of reach. According to Gartner®, "unstructured data, such as documents and multimedia files, accounts for 70% to 90% of organizational data."1 That context is spread across documents, tickets, logs, metrics, traces, and security alerts, changes continuously, and is governed by different permissions. Without access to the right enterprise context, even advanced AI models struggle to deliver accurate, reliable results. Elasticsearch provides the retrieval layer, combining lexical and vector search, semantic reranking, filtering, and access controls in a single platform. It helps agents find relevant, real-time context with the right permissions, reducing unnecessary data sent to the model and improving retrieval quality, all with lower token costs. Together with OpenAI models, developers can build reliable, cost-efficient AI agents for critical enterprise workflows. "The success of enterprise AI depends on connecting powerful models with the knowledge businesses already possess," said Greg Tademoto, global vice president, Business Development & Strategic AI Partnerships at Elastic. "Much of that knowledge is buried in unstructured data. By combining OpenAI's advanced reasoning with Elasticsearch's retrieval and governance capabilities, we're helping enterprises build AI agents that are accurate, secure and useful in production." "Great AI needs great context. We're excited to collaborate with Elastic to bring OpenAI's models closer to the data businesses rely on - helping them build AI agents that are more accurate, more secure, and ready to deliver real-world results," said Colleen Kapase, vice president, Strategic Global Partnerships & Ecosystems at OpenAI. Elastic and OpenAI will focus on delivering three customer outcomes: Elastic has supported OpenAI models through AI Assistants and connectors since 2023. This collaboration expands that foundation through deeper product integration and joint work to help customers build enterprise AI applications grounded in governed data. The companies plan to deepen their collaboration further across enterprise AI, security and observability. Through the OpenAI Daybreak Cyber Partner Program, Elastic plans to integrate OpenAI's GPT-5.5 Cyber specific models into Elastic Security agentic workflows and extend governance to the OpenAI platform, enabling detection of anomalous OpenAI activity alongside endpoint and network threats. For developers using OpenAI Codex, Elastic will develop integration points that provide governed, real-time access to their unstructured enterprise data.

Elastic expands collaboration with OpenAI for enterprise AI By Investing.com

SAN FRANCISCO - Elastic (NYSE:ESTC) announced Thursday an expanded collaboration with OpenAI to integrate OpenAI's reasoning models with Elasticsearch for enterprise AI applications, security operations, and observability. The collaboration combines Elasticsearch's retrieval, search and governance capabilities with OpenAI models to help organizations build AI applications using their enterprise data. According to a press release statement, the integration addresses challenges in accessing unstructured data, which Gartner reports accounts for 70% to 90% of organizational data. Elasticsearch provides retrieval capabilities including lexical and vector search, semantic reranking, filtering, and access controls. The platform helps AI agents access real-time context with appropriate permissions while reducing token costs. "The success of enterprise AI depends on connecting powerful models with the knowledge businesses already possess," said Greg Tademoto, global vice president of Business Development & Strategic AI Partnerships at Elastic. "By combining OpenAI's advanced reasoning with Elasticsearch's retrieval and governance capabilities, we're helping enterprises build AI agents that are accurate, secure and useful in production." The companies will focus on three areas: context-aware AI agents that retrieve permission-aware enterprise knowledge, agentic observability for correlating telemetry and root cause investigation, and agentic security operations for alert investigation. Elastic has supported OpenAI models through AI Assistants and connectors since 2023. The expanded collaboration includes deeper product integration and joint development work. Through the OpenAI Daybreak Cyber Partner Program, Elastic plans to integrate OpenAI's GPT-5.5 Cyber models into Elastic Security workflows and extend governance to the OpenAI platform for detecting anomalous OpenAI activity. For developers using OpenAI Codex, Elastic will develop integration points providing access to unstructured enterprise data. Developers can connect OpenAI models with Elasticsearch using Elastic AI Assistants, Agent Builder and MCP integrations. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.