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DataRefiner | Refine your data into knowledge using Topological Data Analysis and Deep 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
bayyn.com ↗	66 match 2 shared topics	Bayyn AI - Chat With Your Data \| AI-Powered Knowledge Base	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ozlabs.tech ↗	66 match 2 shared topics	OZ Labs \| Statistics, Machine Learning & Data Visualization	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
diffinsight.app ↗	64 match 2 shared topics	DiffInsight - AI-Powered MR Analysis	en	technology-and-computing	robotsllmsaihumans	emailphone	none
connectwithboomi.com ↗	64 match 2 shared topics	Boomi \| The Data Activation Company	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
hexsaga.com ↗	64 match 2 shared topics	HexSaga - AI Knowledge, Go-global Playbooks, and Technical Notes	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
amplitude.com ↗	64 match 2 shared topics	AI Analytics Platform for Modern Digital Analytics	en	artificial-intelligence	robots llmsaihumans	emailphone	none
bayanii.com ↗	64 match 2 shared topics	Bayanii — See what your data can do	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
owenml.dev ↗	64 match 2 shared topics	Michael Owen, Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
devsentinel.ai ↗	64 match 2 shared topics	DevSentinel \| AI Code Review and Engineering Analytics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vokallond.com ↗	64 match 2 shared topics	Timothy Adegbola - Diving into the Tech World: Explorations, Projects, and Learnings.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
connectjaya.com ↗	64 match 2 shared topics	Machine Learning \| AI \| Data Science - Tech insights for the curious mind	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mikemurphy.co ↗	64 match 2 shared topics	AI Knowledge Hub \| Mike Murphy	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
123linux.com ↗	64 match 2 shared topics	123Linux - Digital Academy - Upholding Knowledge being Free	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
allenhoskins.com ↗	64 match 2 shared topics	Allen Hoskins — Sr. Data Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vlearning.ai ↗	64 match 2 shared topics	vLearning.ai - Modern Blog Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
moraschi.com ↗	64 match 2 shared topics	MORASCHI DATA STUDIO – Advanced Analytics and Business Intelligence	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
popularowl.com ↗	64 match 2 shared topics	Popularowl - we help companies design, build, and secure modern technology platforms. aips, data integrations, workflow automations and genAI adoption.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1chipml.org ↗	63 match 2 shared topics	GitHub - 1chipML/1chipML: a library for numerical crunching and machine learning on microcontrollers · GitHub	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.