SoundHound AI enhances voice tech with NVIDIA AI Enterprise

SANTA CLARA, Calif. - SoundHound AI, Inc. (NASDAQ:SOUN), a $3.8 billion market cap voice AI company that has achieved 84% revenue growth over the last twelve months, has announced a deeper partnership with NVIDIA, aiming to boost the performance of its voice AI solutions. According to InvestingPro analysis, the company maintains strong liquidity with a current ratio of 3.77, though the stock has shown significant volatility this year. The integration of NVIDIA AI Enterprise software is set to enhance SoundHound’s offerings across various sectors, including the automotive industry, where Lucid Motors is already experiencing the benefits.

The collaboration introduces NVIDIA’s NIM microservices and NeMo microservices for retrieval-augmented generation (RAG) into SoundHound’s technology stack. This integration is expected to reduce latency in AI processing, improve response accuracy, and optimize AI model deployment for both cloud and edge computing environments. While SoundHound’s gross profit margin stands at 49%, current valuations suggest the stock may be trading above its Fair Value.

Lucid Motors’ voice AI system, known as Lucid Assistant, incorporates select SoundHound and NVIDIA AI modules. These modules are designed to deliver quicker response times and better user interactions. SoundHound plans to expand the use of NVIDIA’s AI software across additional modules to further enhance the automotive voice experience.

Keyvan Mohajer, CEO and Co-Founder of SoundHound AI, emphasized the importance of deploying AI models at scale efficiently, a challenge the partnership with NVIDIA is addressing. Rishi Dhall, NVIDIA’s Vice President of Automotive, echoed this sentiment, highlighting the shift in the AI industry’s focus from model training to efficient, scalable deployment.

Previously, SoundHound and NVIDIA had collaborated on in-vehicle voice AI that operates on NVIDIA DRIVE AGX, enabling generative AI responses without the need for cloud connectivity. The companies also showcased their joint efforts at CES 2025.

SoundHound will be present at the 2025 NVIDIA GPU Technology Conference (GTC) from March 17-21, where it will demonstrate its latest in-vehicle voice assistant technology, SoundHound Chat AI Automotive, and its voice commerce ecosystem.

This article is based on a press release statement. Investors interested in deeper analysis can access SoundHound’s comprehensive Pro Research Report, along with 12 additional ProTips and extensive financial metrics through InvestingPro. The company’s next earnings report is scheduled for May 8, 2025.

In other recent news, SoundHound AI has reported significant developments that are capturing the attention of investors. The company announced its fourth-quarter 2024 earnings, surpassing analyst expectations with an EPS of -$0.05 compared to the forecasted -$0.09, and revenue of $34.5 million against the anticipated $33.74 million. This represents a remarkable 101% year-over-year revenue growth. SoundHound AI has also revised its 2025 revenue guidance upwards to between $157 million and $177 million, reflecting confidence in its diverse growth across industries such as automotive, healthcare, and energy.

The company recently completed acquisitions of Synq3, Inc. and Amelia Holdings, Inc., which have complicated the preparation of its Form 10-K, resulting in a delayed filing. SoundHound AI plans to file within the fifteen-day extension period allowed under Rule 12b-25. Despite the delay, H.C. Wainwright maintains a Buy rating on the company, with a price target of $26, citing strong sales momentum and strategic growth initiatives. Similarly, DA Davidson has raised its price target to $13 from $9.50, highlighting SoundHound’s successful expansion into various sectors.

SoundHound AI’s ongoing efforts to integrate its acquisitions and enhance its offerings are seen as pivotal to its growth strategy, with the company holding $198 million in available cash and no debt. These developments underscore the potential for SoundHound AI to further capitalize on the growing demand for AI solutions across multiple industries.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.