zvelo responds to surge in Korean language websites needing to be categorized
Greenwood Village, Colorado – August 23, 2012 – zvelo, a leading URL database provider for OEMs, has announced full URL categorization support for Korean language websites. zvelo’s AutoCategorization (AutoCat) engine utilizes proprietary, artificial-intelligence technologies backed by quality assurance from a team of multi-lingual Web Analysts to categorize billions of new URLs across dozens of languages each day.
“We’ve seen a significant surge in Korean language website queries to our URL categorization systems,” explains David Duncan, zvelo’s Vice President of Engineering. “As these new sites come online, it’s critical that they’re categorized quickly and accurately for the benefit of our partners. This enhanced support strengthens the zveloDB™ URL Database offering in the Asia Pacific region, where a large majority of these sites are hosted.”
The zveloDB URL Database can be integrated via a lightweight, on-disk SDK or through the zveloNET™ cloud and can be evaluated for free by interested OEMs.
About zvelo, Inc.
zvelo is a leading provider of website categorization technologies, URL database (zveloDB), malicious, compromised, and inappropriate website detection services, and reputation blocklist solutions. zvelo licenses its zveloDB exclusively through Original Equipment Manufacturer (OEM) partnerships. OEMs include online advertising and brand safety technology providers, web analytics firms, service providers (ISP/MSSP, mobile, etc.), endpoint security and anti-virus vendors, UTM and gateway appliance vendors, content and URL filtering vendors, and other high growth market segments where accuracy, responsiveness, coverage, malicious website detection and fast URL query performance are required.
