# Searchkernel

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/searchkernel
- **Dataset:** https://optimly.ai/brand/searchkernel.json
- **Markdown:** https://optimly.ai/brand/searchkernel/llms.txt
- **Official website:** https://searchkernel.com
- **Slug:** searchkernel
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** Led by Trey Grainger, lead author of 'AI-Powered Search', co-author of 'Solr in Action', and a recognized expert in the field. They maintain the industry's hub for modern retrieval (AIPoweredSearch.com) and offer deep expertise across the entire retrieval stack, including advanced techniques like Wormhole Vectors and pseudo-relevance feedback. Focus on practical implementation and measurable results, moving beyond 'ranking-only' approaches.
Source: Brand's website (https://searchkernel.com) · 2026-10-04

- **Description:** Searchkernel provides AI-powered search solutions, expert consulting services, and specialized training for modern retrieval systems. Led by Trey Grainger, author of 'AI-Powered Search', the company helps organizations enhance search relevance, implement vector and hybrid retrieval, build RAG and agentic search systems, and train engineering teams on advanced search techniques. They also offer Searchkernel QIQ, a query intelligence layer.
Source: Brand's website (https://searchkernel.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Searchkernel QIQ (Query IQ)
  - AI-Powered Search Relevance Audits & Strategy
  - AI-Powered Search Implementation
  - RAG & Agentic Search Systems development
  - Private Team Training Cohorts.
Source: Brand's website (https://searchkernel.com) · 2026-10-04

- **Pricing:** Consulting and training services are likely project-based or custom quoted; Searchkernel QIQ is offered via early access, suggesting a potential subscription or licensing model.
Source: Brand's website (https://searchkernel.com) · 2026-10-04

## Audience

- **Target industry:** Engineering teams and organizations (including large tech companies, retail, automotive, and other industries) seeking to improve the performance, relevance, and capabilities of their search engines, implement modern retrieval techniques, and build advanced RAG/AI systems.
Source: Brand's website (https://searchkernel.com) · 2026-10-04

Page last updated 2026-10-04.