Analysts Adjust SoundHound AI Stock Target Post-Earnings

Analysts have adjusted their price targets for SoundHound AI (NASDAQ:SOUN) following the company’s latest earnings report, which surpassed expectations. SoundHound AI, a voice AI and speech recognition company, is experiencing significant attention due to its pivotal role in enhancing customer service through its Smart Ordering system. This system is currently deployed in establishments like Detroit’s Original Chicken Shack, where it handles customer orders through AI, freeing staff to focus on food preparation and service.

The company recently showcased the effectiveness of this technology through testimonials from executives, employees, and customers via a video on its website. This publicity comes at a time when the voice-recognition technology market is expected to grow to $50 billion by 2030, positioning SoundHound AI favorably within the sector.

Founded in 2005 by Keyvan Mohajer, SoundHound AI has secured its niche in the automotive and restaurant industries with notable partnerships including Hyundai, Mercedes-Benz (OTC:DDAIF), and Honda (NYSE:HMC). Despite facing challenges, including significant layoffs, SoundHound AI has demonstrated resilience and strategic growth, highlighted by a recent $25 million equity investment.

For the first quarter, SoundHound reported an adjusted loss of 7 cents per share on sales of $11.6 million, outperforming analysts’ expectations of a 9-cent loss on $10.1 million in sales. This performance marks a substantial improvement from the previous year’s figures and reflects the company’s robust cash position, now at approximately $225 million.

CEO Mohajer emphasized the company’s strong foundation and expertise, which have been crucial in handling millions of calls monthly for major brands like Chipotle and Five Guys. The positive earnings report and the innovative application of its technology have led analysts to view SoundHound AI as taking a major step in the right direction, signaling the potential for further growth and stability in the competitive AI landscape.

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