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PETE Learning - Elevate training. Optimize learning. — 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
qstream-quest.com ↗	69 match 1 shared topics	Qstream AI-powered microlearning \| Transform Workplace Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
offshorenerds.com ↗	68 match 1 shared topics	Eric Siegel's Home Page: Machine Learning Events, Training, Book	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
microlearning-video.com ↗	68 match 1 shared topics	AI-powered Online Video LMS. Your Training & eLearning Platform \| uQualio	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ctsys.io ↗	68 match 1 shared topics	CTSYS Training Bot	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
megamachinelearn.org ↗	68 match 1 shared topics	Modern Machine Learning – Mega Learning	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rachelchiong.com ↗	68 match 1 shared topics	Rachel’s Blog \| This is Rachel’s blog - containing learnings from ELEC4630 - Computer Vision and Deep Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
atensi.com ↗	67 match 1 shared topics	AI Training and Performance Platform	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
articulate.com ↗	67 match 1 shared topics	Build effective training for the AI era with Articulate 360 \| Articulate	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
ocandocrypto.com ↗	67 match 1 shared topics	Learning in Public: AI, DeFi & Economics learnings.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
i2e.ai ↗	67 match 1 shared topics	Innovate to Elevate with AI \| Community, Training & Custom Builds \| i2e.ai	United States~ en	artificial-intelligence Lightspeed	robotsllmsaihumans	emailphone	none
tutoai.ai ↗	67 match 1 shared topics	TutorIAlity - AI-Powered Corporate Training Videos	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
olar.ai ↗	67 match 1 shared topics	OLAR AI – Physics Learning Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
efrontlearning.com ↗	67 match 1 shared topics	The Adaptable Enterprise-grade Training Platform - eFront LMS	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
athossystems.com ↗	67 match 1 shared topics	athos \| Optimize with Insight	en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
rastervision.io ↗	67 match 1 shared topics	Raster Vision: An open-source machine learning library for deep learning on satellite and aerial imagery	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hunch.net ↗	67 match 1 shared topics	Machine Learning (Theory) – Machine learning and learning theory research	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
okjeeves.tech ↗	66 match 1 shared topics	Jeeves \| An AI-powered Just-in-Time Training Platform - 314e	United States~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
tunerbee.com ↗	66 match 1 shared topics	TunerBee: Voice-Based Learning through LTI	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.