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Smart Testing | Quality Engineering, QA Outsourcing & Testing as a Service — 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
boschtechnologies.com ↗	70 match 2 shared topics	Bosch Technologies - Automation Test Strategy & Quality Engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
alqemy.io ↗	69 match 2 shared topics	alQEmy - Quality Engineering Infrastructure for Ambitious Teams	en	software-and-applications	robotsllmsaihumans	emailphone	none
thinksys.com ↗	69 match 2 shared topics	Leading Software Development & Testing Services	en	software-and-applications	robots llmsaihumans	email phone	full · 18
thinksysqa.com ↗	69 match 2 shared topics	Leading Software Development & Testing Services	en	software-and-applications	robotsllmsaihumans	email phone	none
mastersoftwaretesting.com ↗	68 match 2 shared topics	Master Software Testing: Complete Guide to QA & Testing	en	technology-and-computing	robotsllmsaihumans	emailphone	none
aicorlix.com ↗	68 match 2 shared topics	The Power House of Full-Service Software Product Engineering \| Aicorlix	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
jamescullimore.dev ↗	67 match 2 shared topics	Senior Android, IoT & Kotlin Multiplatform Engineering \| James Cullimore	en	technology-and-computing	robotsllmsaihumans	email phone	none
alexandermay.dev ↗	67 match 2 shared topics	Alexander May - Software engineering, lifting and motorcycles	en	software-and-applications	robotsllmsaihumans	emailphone	none
adrian.software ↗	67 match 2 shared topics	Code Cat \| Software & Data Engineering \| Technical Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
thetechthingy.com ↗	67 match 2 shared topics	The Tech Thingy™ — Product Engineering & SaaS Development	India~ en	software-and-applications	robotsllmsaihumans	email phone	none
jacks-application.info ↗	66 match 2 shared topics	Jack’s Application \| Engineering the Future of Software	en	software-and-applications	robotsllmsaihumans	emailphone	none
p2dengineering.com ↗	66 match 2 shared topics	P2D ENGINEERING, Inc - HOME	en	software-and-applications Weebly	robotsllmsaihumans	emailphone	none
deniroholding.com ↗	66 match 2 shared topics	DeNiRo Holding — Engineering Team	en	technology-and-computing	robotsllmsaihumans	emailphone	none
paceflow.io ↗	66 match 2 shared topics	Developer Performance Review Software for Engineering Managers	en	software-and-applications	robotsllmsaihumans	emailphone	none
thetechdarts.com ↗	66 match 2 shared topics	- Software Engineering, Automation and DevOps Solutions	en	software-and-applications WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jared-makes-stuff.com ↗	66 match 2 shared topics	Jared Tan \| Software Engineering Portfolio	Singapore~ en	technology-and-computing	robots llmsaihumans	email phone	none
savestimate.com ↗	66 match 2 shared topics	SAVE Solutions and Engineering Services – Smart. Savvy. SAVEstimate — for the engineers of tomorrow.	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
singularwks.com ↗	66 match 2 shared topics	Singular Works — Engineering & Software Architecture	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.