---
title: "Elastic"
category: "companies"
aliases: ["Elastic"]
website: "https://www.elastic.com/"
sourceLabels: ["Official speaker roster", "Official conference schedule", "Public company site", "Automated company profile fetch"]
---
# Elastic

## Overview
Elastic is represented at AI Engineer World's Fair 2026. Its public site describes it this way: With an Elastic Line of Credit, you can borrow money when needed. Apply today and enjoy financial flexibility through our quick and secure application process.

## Background
The official speaker roster connects Elastic to Han Xiao, Jeff Vestal. The public company site was discovered by domain-guess and fetched for homepage metadata.

## Conference Relevance
Elastic matters to this wiki through 2 official speaker(s) and 2 scheduled session(s), including: Vector Isn't Enough: Hybrid Search & Retrieval for AI Engineers; Autoresearch for Dense Retrieval: Test-Time Compute with Frozen Embedding Models.

## Conference Sessions
- [[2026-06-29-jeff-vestal-vector-isn-t-enough-hybrid-search-and-retrieval-for-ai-engineers]] - Vector Isn't Enough: Hybrid Search & Retrieval for AI Engineers (2026-06-29, 2:20pm-4:20pm)
- [[2026-06-30-han-xiao-autoresearch-for-dense-retrieval-test-time-compute-with-frozen-embedding-models]] - Autoresearch for Dense Retrieval: Test-Time Compute with Frozen Embedding Models (2026-06-30, 11:10am-11:30am)

## Connections
- [[han-xiao]] - VP, AI
- [[jeff-vestal]] - Senior Principal AI Architect

## Sources
- [Elastic Line of Credit - Flexible Credit Anytime You Need It](https://www.elastic.com/)

## Evidence Graph
This evidence graph summarizes how this organization appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-jeff-vestal-vector-isn-t-enough-hybrid-search-and-retrieval-for-ai-engineers|Vector Isn't Enough: Hybrid Search & Retrieval for AI Engineers]]
- [[2026-06-30-han-xiao-autoresearch-for-dense-retrieval-test-time-compute-with-frozen-embedding-models|Autoresearch for Dense Retrieval: Test-Time Compute with Frozen Embedding Models]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.

## Notes
- Automated company profile fetch status: fetched.

## Evidence Boundary
Official roster and schedule facts are treated as canonical for conference participation. Public company sites, documentation, and professional profiles are supporting context used to explain what the organization does and why it is relevant.