VoiceBox Technologies and Rivet Radio Partner to Bring Voice Commands to Personalized News Platform

BELLEVUE, WA and CHICAGO -- Aug. 11, 2015: VoiceBox Technologies, the award-winning innovator of Contextual Natural Language Understanding (CNLU) and pioneer of voice in the connected car is collaborating with smart audio platform Rivet Radio to demonstrate voice virtual assistant capabilities with Rivet Radio's personalized news for mobile, wearables and the connected car.

This collaboration signals the beginning of a long-term strategic partnership between Rivet Radio and VoiceBox and anticipates a creative, commercial alliance combining VoiceBox's expertise in advanced voice virtual assistant capabilities with Rivet Radio's leadership in on-demand personalized news content.

"We're excited to demonstrate the freedom and convenience voice-enabled, on-demand news brings to those on the move— especially in the car," said Rivet Radio CEO John MacLeod. "Our driving time is where we catch up on news that matters to us. Giving drivers the ability to search and access personalized news like real-time traffic and weather through a hands-free/eyes-free, casual conversational style is essential to a safe journey."

"Not surprisingly, our research shows that people prefer listening to professionally produced audio content versus computer-generated speech. This makes sense in a world of overwhelming digital content, particularly when you're not, or shouldn't be focused on a display such as in a car or when multi-tasking at home. We're delighted to be working with Rivet Radio to make access to content on the go easier," said VoiceBox Technologies CEO Mike Kennewick. "The potential for collaboration is huge, and moving forward with Rivet Radio represents a unique opportunity to combine VoiceBox's voice virtual assistant capabilities with one of the leading innovators of on-demand news."

VoiceBox Technologies' CNLU platform is based on advanced patented technology that can determine context from conversational speech and then complete the action requested based on the user's intent. Users are not required to memorize exact preset commands and can instead simply ask conversationally for what they want, even in noisy environments such as an automobile or coffee shop.