zvelo and our partners help protect hundreds of millions of end users while browsing online. Providing security, web filtering, and parental controls is integral to zvelo’s core mission. Learn more about the company and how we’re working with partners and the community to improve the internet for all.
Estimated Reading Time: 2 minutes Mr. Mark Ryan Talabis is a seasoned security researcher, applications developer and published author in data collection and analysis. Greenwood Village, Colorado – October 14, 2014 – zvelo, Inc., a leading “Data as a Service” provider for contextual categorization and malicious website detection, has announced the hiring of Mr. Mark Ryan Talabis as Chief Threat…
DetailsEstimated Reading Time: 2 minutes Dr. Ignacio Giraldez brings expertise in Machine Learning, Artificial Intelligence and Business Innovation Greenwood Village, Colorado – September 9, 2014 – zvelo, Inc., a global provider of contextual categorization and malicious website detection services, has announced the hiring of Dr. Ignacio Giraldez to the role of Artificial Intelligence (AI) Chief Scientist. Dr. Giraldez will play…
DetailsEstimated Reading Time: 2 minutes Derrick Horner, experienced Ad-Tech Industry Veteran, joins zvelo Board Greenwood Village, Colorado – August 19, 2014 – zvelo, Inc., a global provider of contextual categorization and malicious website detection services, has announced the appointment of Derrick Horner to the zvelo Board of Directors. Mr. Horner will be replacing David Riegel, a longtime zvelo board member,…
DetailsEstimated Reading Time: 2 minutes Growth spawns additional hiring to help maintain company’s position as a leading provider of contextual categorization services Greenwood Village, Colorado – June 25, 2014 – zvelo, Inc., a global provider of contextual categorization and malicious website detection services, has announced substantial growth and strong demand from the ad-tech, big data analytics, endpoint and network security…
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The Internet Watch Foundation works to remove online videos and images of child sexual abuse and its 2013 Annual & Charity Report highlighted significant milestones achieved and a big year of change.
Estimated Reading Time: < 1 minute zvelo, Inc., a top provider of content categorization, contextual meta-data, and malicious detection across the Internet, announced today that, due to record business growth and demand for the company’s zveloDB® URL database and zveloCAT® contextual categorization engine, it has outgrown its existing Philippines facility and has relocated into a larger office space.
DetailsEstimated Reading Time: 2 minutes Innovations and market demand fuel success Greenwood Village, Colorado – February 6, 2014 – zvelo, Inc., a leading provider of contextual categorization and malicious detection services for the OEM market, reported record revenues, profits and growth in 2013 from the increased adoption of the company’s zveloDB® URL database and zveloCAT® content categorization engine. zvelo experienced…
DetailsEstimated Reading Time: < 1 minute Additional Patent Granted for Managing Subscription-based Software Applications Greenwood Village, Colorado – November 04, 2013 – zvelo, Inc., a leading provider of content categorization technologies and databases for the OEM market, announced today that it has been granted U.S. Patent No. 8,572,267 by the U.S. Patent and Trademark Office. The patent is titled “Managed Services…
DetailsEstimated Reading Time: 2 minutes With nearly 500 Categories, zveloDB offers full IAB Tier 1 and Tier 2 Support Greenwood Village, Colorado – October 29, 2013 – zvelo, Inc., a leading provider of website categorization and URL database services for the OEM market, announced today it has significantly expanded its zveloDB® from the current set of 141 categories to nearly…
DetailsEstimated Reading Time: 3 minutes zvelo, Inc., a leading provider of dynamic content categorization and URL database services for the OEM market, has announced the general availability of its zveloCAT® content categorization engine. zveloCAT provides real-time content and context categorization of clickstream web pages and unstructured content, such as tweets, SMS text messages, blogs and user comments.
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