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Sites similar to abreitenbach.de

Abreitenbach alternatives & similar sites

Andrea Breitenbach – KI in der Lehre – Digitale Lehrmethoden (ICM) – Stata Einführung — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
andreasjantzen.de 64 match
1 shared topics
AndreasJantzen.de: KI einfach erklärt & praktische digitale Ratgeber Germany de artificial-intelligence robotsllmsaihumans emailphone none
erisare.org 64 match
1 shared topics
KIROI Einführung in die Künstliche Intelligenz (KI) nach den Anforderungen des EU AI ACTS (Artikel 4) – Praxisworkshop – SAULDIE SHOP de artificial-intelligenceWordPressWooCommerce robotsllmsaihumans emailphone none
annmi.de 64 match
1 shared topics
ANNMI – Digitale Kundenportale mit KI Germany de artificial-intelligence robotsllmsaihumans emailphone none
aibilderagentur.de 64 match
1 shared topics
AI Bildagentur (AIBA) – Virtuelle Fotos & Digitale Grafiken – KI Bilder für B2B & B2C von AI Prompt Engineers Germany de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
aibildagentur.de 64 match
1 shared topics
AI Bildagentur (AIBA) – Virtuelle Fotos & Digitale Grafiken – KI Bilder für B2B & B2C von AI Prompt Engineers Germany de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
netura.info 64 match
1 shared topics
Netura – Strohhut, KI & Digitale Klarheit | Berthold Möller - Netura Germany~ de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
newbizdigital.com 64 match
1 shared topics
new.business.digital UG – Digitale Transformation und KI de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
in2comp.ch 64 match
1 shared topics
Digitale Spracherkennungs- & Diktierlösungen in der Schweiz Switzerland de artificial-intelligenceWordPressShopify robotsllmsaihumans emailphone none
genainsider.com 64 match
1 shared topics
Gen AI-nsider – KI einfach erklärt de artificial-intelligence robotsllmsaihumans emailphone none
innochat.ch 64 match
1 shared topics
KI-Agenten für Unternehmen – Digitale Beratung & Lösungen von InnoChat Schweiz Switzerland de artificial-intelligence robotsllmsaihumans emailphone full · 12
d-air2.org 63 match
1 shared topics
D-AIR² – Digital & AI Risk and Readiness Index - D-AIR² de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
alexreichenbach.de 63 match
1 shared topics
Alex Reichenbach – Neuroscientist Germany de artificial-intelligenceWordPress robotsllmsaihumans emailphone none
neuhier.info 63 match
1 shared topics
NeuHier – Dein Begleiter für den Start in Deutschland de artificial-intelligence robotsllmsaihumans emailphone none
neuhier.org 63 match
1 shared topics
NeuHier – Dein Begleiter für den Start in Deutschland de artificial-intelligence robotsllmsaihumans emailphone none
albertbrueckmann.de 63 match
1 shared topics
Albert Brückmann – Digital Solutions & AI Consulting Germany de artificial-intelligenceWordPressWooCommerce robotsllmsaihumans emailphone none
neuhier.com 63 match
1 shared topics
NeuHier – Dein Begleiter für den Start in Deutschland de artificial-intelligence robotsllmsaihumans emailphone none
intelligente-helfer.com 63 match
1 shared topics
KI lernen für Generation 45+ | Intelligente Helfer - Digitalisierung einfach gemacht – Intelligente Helfer – KI-gestützte Lösungen für den Klein- und Mittelstand de artificial-intelligenceJoomla robotsllmsaihumans emailphone none
juergen-schadek.de 63 match
1 shared topics
Jürgen Schadek | Systeme, KI und digitale Arbeit Germany de artificial-intelligenceStatamic 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:

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.