SoundHound AI, Inc. announced that it has partnered with Perplexity, the conversational AI-powered answer engine. Together they will bring Perplexity?s online LLM capabilities to SoundHound Chat AI voice assistant that utilizes hundreds of real-time domains, as well as generative AI responses. The move will reinforce SoundHound?s AI product as the most advanced voice assistant available on the market on May 9. The SoundHound Chat AI assistant will leverage Perplexity to provide accurate, up-to-date responses to web-based queries that static LLMs cannot currently answer ?

expanding the type and complexity of the questions the assistant is able to handle. For example, a user can ask a question like: ?How does the price of gas this week compare to last week?? and the response will combine accurate, live information on gas prices with a comprehensive generative AI-style explanation that provides further context.

The user can then follow-up with, ?Navigate to the nearest gas station,? which uses SoundHound?s technology to seamlessly incorporate data from the appropriate sources and integrate with the navigation software of a device such as a car or a phone. SoundHound?s voice AI products are built on nearly 20 years of experience in AI, speech recognition, and natural language processing.

The company?s proprietary technology allows for category-leading speed and accuracy ? allowing a user to speak naturally to access a vast range of real-time knowledge domains (like flight times, sports scores, music selection, and restaurant search), generative AI responses (from multiple LLMs), and now Perplexity?s incredible web-search results. SoundHound Chat AI was the first voice assistant in the world to launch with generative AI capabilities, as well as the first in the world to go into production for automotive.

SoundHound Chat AI is already deployed in over 12 countries in 18 languages with automotive partner, Stellantis. The assistant also utilizes a specially developed arbitration technology that uses a combination of software engineering and machine learning to intelligently select the more appropriate response, helping to minimize harmful ?AI hallucinations".