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Softwareentwicklung mit KI in Augsburg — Mateusz Klimentowicz — 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
meimberg.digital ↗	71 match 2 shared topics	meimberg digital – Softwareentwicklung mit KI-Geschwindigkeit	de	software-and-applications Sanity	robotsllmsaihumans	emailphone	none
nobytes.de ↗	71 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
cherus.com ↗	71 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
katalisator.com ↗	71 match 2 shared topics	AllBytes \| KI-Agentur & Softwareentwicklung München	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
egalactic.com ↗	69 match 2 shared topics	eGalactic - Softwareentwicklung & KI-Lösungen	Austria~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
bbv-group.ch ↗	69 match 2 shared topics	Digital Consulting, KI und Softwareentwicklung \| bbv	Switzerland de	software-and-applications WordPress	robots llmsaihumans	email phone	none
agentic-coding.ch ↗	69 match 2 shared topics	Agentic Coding - KI-Agenten Softwareentwicklung Schweiz	Switzerland de	artificial-intelligence	robots llmsaihumans	emailphone	none
elbtech.dev ↗	69 match 2 shared topics	KI-Strategie, Digitalisierung & Softwareentwicklung aus Hamburg - elbtech	de	software-and-applications	robots llmsaihumans	emailphone	none
phung-solutions.com ↗	68 match 2 shared topics	KI-Implementierungen \| Softwareentwicklung \| Workflow-Automatisierung und CRM-Management	de	software-and-applications	robotsllmsaihumans	emailphone	partial · 8
apptiva.ch ↗	68 match 2 shared topics	Apptiva AG \| KI-Chatbots & individuelle Softwareentwicklung aus Luzern	Switzerland de	software-and-applications Sanity	robots llmsaihumans	email phone	none
apptiva-mailer.ch ↗	68 match 2 shared topics	Apptiva AG \| KI-Chatbots & individuelle Softwareentwicklung aus Luzern	Switzerland de	software-and-applications Sanity	robotsllmsaihumans	email phone	none
nxvnt.com ↗	65 match 2 shared topics	nxvnt – KI-gestützte Softwarelösungen	de	software-and-applications	robots llmsaihumans	emailphone	full · 7
niklasschulz.de ↗	65 match 2 shared topics	Niklas Schulz \| Software Development für KI, APIs & Automatisierung	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
sestaco.com ↗	65 match 2 shared topics	ByteBlick - Software, KI & Digitalisierung	de	software-and-applications	robotsllmsaihumans	emailphone	none
prodot.at ↗	65 match 2 shared topics	KI- & Softwaredienstleister: Beratung & Umsetzung von KI-Lösungen	Austria de	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
aivantage.ch ↗	64 match 2 shared topics	AIVANTAGE – KI, Software & Beratung	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
tt-venture.com ↗	64 match 2 shared topics	Enterprise Software & KI \| TT-Venture Future Lab	Germany~ de	software-and-applications	robots llmsaihumans	email phone	none
bmcsoftware.at ↗	64 match 2 shared topics	Automatisierungsunternehmen für das KI-Zeitalter – BMC Software	Austria de	software-and-applications Adobe Experience Manager	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.