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45match
automationhmi.com
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0 co-citations7 shared tech0 shared categorymanufacturing-industry
45match
campoos.com
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0 co-citations7 shared tech0 shared categorymergers-and-acquisitions
45match
3dsurgeons.com
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0 co-citations7 shared tech0 shared categorybusiness
45match
apicebuild.com
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45match
bamecmeccanica.com
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0 co-citations7 shared tech0 shared categorymechanical-and-industrial-engineering-industry
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cer-mt.com
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0 co-citations7 shared tech0 shared categorygreen-solutions
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aplegalsta.it 🇮🇹
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0 co-citations7 shared tech0 shared categorylegal-services-industry
45match
apicolturaferi.it 🇮🇹
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45match
achilleasrl.it 🇮🇹
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andrearosati.it 🇮🇹
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45match
aldetech.it 🇮🇹
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45match
and-co.it 🇮🇹
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45match
borghiautomobili.it 🇮🇹
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0 co-citations7 shared tech0 shared categoryautomotive-industry
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clubdigitale.it 🇮🇹
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0 co-citations7 shared tech0 shared categoryventure-capital
41match
greenlab-srl.com
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0 co-citations7 shared tech0 shared categorypower-and-energy-industry
41match
cordobacornelio.com
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0 co-citations7 shared tech0 shared categorybusiness-utilities
41match
comunitaallacostaodv.it 🇮🇹
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0 co-citations6 shared tech0 shared categorynon-profit-organizations
38match
attestazionesoaitalia.it 🇮🇹
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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.