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Cannabis Software for Regulators | Leaf Data Systems — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
alemba.com.au ↗	71 match 1 shared topics	ITSM Software for Complex, Regulated Organizations \| Alemba	Australia en	software-and-applications	robotsllmsaihumans	emailphone	none
nahasystems.com ↗	70 match 1 shared topics	Naha Systems — Enterprise Software for East Africa	en	software-and-applications	robotsllmsaihumans	emailphone	none
currencyxchanger.com ↗	70 match 1 shared topics	Currency Exchange Software for MSBs \| Clear View Systems	Canada~ en	software-and-applications Drupal	robotsllmsaihumans	emailphone	none
currencyexchanger.ca ↗	70 match 1 shared topics	Currency Exchange Software for MSBs \| Clear View Systems	Canada en	software-and-applications Drupal	robotsllmsaihumans	emailphone	none
alsystems.app ↗	70 match 1 shared topics	AL Tech Systems — Smart Software for Modern Business	en	software-and-applications	robotsllmsaihumans	emailphone	none
deep-hub.io ↗	70 match 1 shared topics	Flowcate \| Location Data Software for Real-Time Visibility	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
deephub.io ↗	70 match 1 shared topics	Flowcate \| Location Data Software for Real-Time Visibility	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
flowcate.com ↗	70 match 1 shared topics	Flowcate \| Location Data Software for Real-Time Visibility	en	software-and-applications WordPress WooCommerce	robotsllmsaihumans	emailphone	none
flowcate.io ↗	70 match 1 shared topics	Flowcate \| Location Data Software for Real-Time Visibility	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
3ecompany.com ↗	70 match 1 shared topics	Compliance Software for Effective Regulatory Management	United States~ en	software-and-applications WordPress	robots llmsaihumans	emailphone	none
3eco.com ↗	70 match 1 shared topics	Compliance Software for Effective Regulatory Management	United States~ en	software-and-applications WordPress	robots llmsaihumans	emailphone	none
aalta.io ↗	70 match 1 shared topics	Aalta - Applied Software for Evolving Ecosystems	en	software-and-applications	robotsllmsaihumans	emailphone	none
igorlabapp.com ↗	70 match 1 shared topics	IGOR \| Lab Notebook and LIMS Software for Research Data	United States~ en	software-and-applications	robots llmsaihumans	emailphone	partial · 8
productcomply.com ↗	70 match 1 shared topics	Compliance Software for Effective Regulatory Management	United States~ en	software-and-applications WordPress	robots llmsaihumans	emailphone	none
mybudsense.com ↗	70 match 1 shared topics	BudSense Cannabis Menu Software for Dispensaries	Canada~ en	software-and-applications Squarespace Magento	robotsllmsaihumans	emailphone	none
fivetro.com ↗	70 match 1 shared topics	Fivetro - Software for Freight	en	software-and-applications	robotsllmsaihumans	emailphone	none
iconico.com ↗	70 match 1 shared topics	Iconico software for windows	en	software-and-applications Webflow	robotsllmsaihumans	emailphone	none
ideameets.com ↗	70 match 1 shared topics	IdeaMeets — Product Development Studio for Regulated Software	India~ en	software-and-applications	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.