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!

What We Believe » | Our Services » | Our Expertise »

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 Kouzis-Loukas, Bloomberg

Read the book »
Get help from the experts »

Democratizing machine learning for your search team  ↓


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

Read the Press Release »
Our Learning to Rank Services »

Tools that demystify search  ↓


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

Try it Now »


Just want to understand why results are showing up in your search?

Use splainer for free »

Search Relevance Community  ↓


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.

The Next Haystack »
Join Relevance Slack »

Our Blog » Upcoming Events »

We empower some of the world's best search teams at:

  • USPTO
  • Cisco
  • Career Builder
  • O'Reilly
  • Wikimedia Foundation
  • Snag

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

Our COVID-19 response & supporting the relevance community Charlie hull on March 24, 2020

How we're adapting to continue empowering search teams with online consultancy & training

Feedback debt: what the Segway teaches search teams Doug turnbull on March 19, 2020

Does your pet feature actually help users? Feedback debt, like technical debt, eventually needs to be repaid.

Quepid Carries Your Caseload Becky billingsley on March 2, 2020

Now that you are using Quepid to collaborate with members of your team by sharing your cases with other folks, you need a way to view basic information for *ALL* of your owned and shared cases and navigate to those cases within Quepid. That is why we have the Multi Case Dashboard.

Come see Doug at Learning to Rank Training at Haystack US 2020 April 27th-28th, 2020 | Charlottesville, VA, USA

Go hands on with machine learning tools to improve relevance. Using an open source search engine, we see our models come to life, see the pitfalls of letting machines control relevance, and work to mitigate those pitfalls. From Hello World to Learning to Rank Lessons you can avoid learning the hard way. See how you can apply open source tooling to optimize your search results with machine learning. Ideal for production focused data scientists, relevance engineers, machine learning engineers, or search developers.

Talk directly with Eric Pugh, our founder & CEO
(434) 466-1467 | [email protected]