zvelo responds to increasing OEM Partner demand for categorization and coverage of Arabic language websites
Greenwood Village, Colorado – March 07, 2012 – zvelo, a leading provider of website categorization, URL database (zveloDB®) and malicious website detection technologies for the OEM market, has expanded its automated URL categorization engine to support Arabic language web pages. In response to increasing demand from OEM partners targeting deployments in Arabic-language markets, zvelo is today announcing comprehensive support for Arabic sites through its artificial intelligence-based AutoCat systems which provide contextual categorization and malicious website detection, combined with quality assurance from its team of over 125 multi-lingual Web Analysts.
zvelo’s exclusive combination of using AutoCat and human Web Analyst quality assurance review provide for the identification and categorization of URLs in the most popular languages that comprise the vast majority of today’s websites. This strict process provides unmatched accuracy and 99.99% coverage of websites visited by the millions of actual end-users of zvelo’s OEM Partners.
“zvelo listens to the needs of our OEM partners,” explains David Duncan, zvelo’s Vice President of Engineering. “Releasing full language support for Arabic websites continues to strengthen the zveloDB offering.”
The zveloDB URL Database can be integrated via an 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 URL categorization technologies, URL database (zveloDB), malicious and compromised website detection and reputation blocklist solutions. zvelo licenses its zveloDB exclusively through OEM Partnerships with online advertising technology providers, 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.