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Quinn — AI-Powered Training for Operational Teams | Gamified LMS — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
desiai.app ↗	69 match 2 shared topics	DeSiAi — AI Training for Product People	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
upskailed.com ↗	67 match 2 shared topics	Upskailed \| AI Training, Consulting & Advisory for Professionals	en	artificial-intelligence	robots llmsaihumans	emailphone	none
softwarepaths.ie ↗	67 match 2 shared topics	IACT \| Training Solutions For Businesses & Professionals	IE en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
4fsh.com ↗	66 match 2 shared topics	4Fsh \| AI Upskilling for Employees: 1:1 Training and Custom Solutions	en	artificial-intelligence Ghost	robotsllmsaihumans	emailphone	none
cashango.io ↗	66 match 2 shared topics	Cashango - The Human-Powered AI Training Network	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hanku.com ↗	66 match 2 shared topics	Hanku – AI Education, Consulting, and Training	en	artificial-intelligence WordPress WooCommerce	robots llmsaihumans	email phone	none
achint.dev ↗	66 match 2 shared topics	Achint Setia — System Design & GenAI Courses \| Expert-Led Training	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
swiss-ai-institute.com ↗	66 match 2 shared topics	Swissi Institute for AI – Certified AI Training and Research Programmes for Executives, Institutions and Academia	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
swissi-ai.com ↗	66 match 2 shared topics	Swissi Institute for AI – Certified AI Training and Research Programmes for Executives, Institutions and Academia	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cusky.digital ↗	65 match 2 shared topics	Machine Learning Engineering Training \| Cusky Digital	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
nanross.com ↗	65 match 2 shared topics	Nan Ross \| AI & Agile Training, Workshops & Speaking \| Nan Ross	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
in4group.co.uk ↗	65 match 2 shared topics	IN4.0 Group \| Digital Skills Training	GB en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
avengalearnailab.com ↗	65 match 2 shared topics	Avenga LearnAI Lab - AI Readiness Training	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
derivprofundedacademy.com ↗	64 match 2 shared topics	AUDIVOXAI - Train AI & Earn Money \| Audio Recognition Tasks in Kenya	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dentalaistandard.com ↗	63 match 2 shared topics	The Dental AI Standard \| AI Ready Certification for Dental Office Managers	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
samstechacademy.com ↗	63 match 2 shared topics	Training - Samantha Pointer Enterprises \| Business Systems & AI Automation Architect	en	artificial-intelligence WordPress Lightspeed	robotsllmsaihumans	emailphone	none
innovation-academy.co.uk ↗	63 match 2 shared topics	Training in Corporate Innovation, Artificial Intelligence, Business Model Transformation \| Innovation Academy	GB en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cuttingedgegroup.org ↗	62 match 2 shared topics	Cutting Edge Group	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.