Own your search
Smart search is core to your value: don't outsource it.
We help your org innovate in search and relevance. Whether it's Solr or Elasticsearch - let us empower your team!
We wrote the book
Good search understands a user's intent, not just what they type.
We wrote Relevant Search to help teams build smarter Elasticsearch and Solr applications.
One of the best and most engaging technical books I've ever read. — Trey Grainger, Lucidworks
Will help you solve real-world search relevance problems for Lucene-based search engines — Dimitrios Kouizes-Loukas, Bloomberg
Pioneers in machine learning
We built Elasticsearch Learning to Rank, which powers search at Yelp, Wikipedia, Snag, and others.
Since deploying learning to rank, we’ve seen a net 32% increase in conversion metrics across our historically lowest performing use-cases. — Jason Kowalewski, Sr Director of Engineering at Snag
Learning to rank can’t stay hidden away in obscure academic journals or multi-million dollar products. We’re making this stuff accessible to all search teams: opening up the black box for everyone to use”. — Doug Turnbull - OpenSource Connections CTO
We have the tools
We built Quepid, a search testing platform that takes the guesswork out of search relevancy.
Do NOT attempt a search project without it. — John Bickerstaff
Just want to understand why results are showing up in your search?
We support the community
We run Haystack, the Search Relevance conference. We sponsor MICES, the E-Commerce Search conference.
We host a Slack Channel where practitioners support each other and share solutions.
We empower some of the world's best search teams at:
Our publications
Relevant Search »
Learn the secrets of building intuitive, targeted search.
Elasticsearch course »
Dive into Elasticsearch and AngularJS in this video course.
Solr Enterprise Server »
We cowrote the first book on Solr. Now in its third edition.
The blog and other happenings
How You Can Use Hello LTR - The Learning to Rank Sandbox
Doug turnbull on August 13, 2019
Hello LTR is a framework that lets you plugin your data to easily build and test Learning to Rank models in Solr or Elasticsearch. Try it Out!
Quepid is now an Open Source project!
Eric pugh on July 25, 2019
Quepid is now available as an ASL2 licensed open source project!
Catching MICES in Berlin for e-commerce search
Charlie hull on June 26, 2019
A review of the Mix Camp E-Commerce Search 2019 held in Berlin, maturity models, offline/online evaluation, ranking & emotion in search
Haystack Europe is the conference for improving search relevance. Haystack Europe is the no-holds-barred conference for organizations where search, matching, and relevance really matters to the bottom line.
Talk directly with Eric Pugh, our founder & CEO
(434) 466-1467 | [email protected]
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