SoundHound AI reported record second-quarter revenue of $61.9 million [1], representing a 45% increase year-over-year [1].

The financial results signal a growing corporate appetite for agentic AI platforms. As enterprises move from experimental chatbots to functional AI agents, SoundHound is positioning itself as a primary provider for high-volume industry sectors.

Following the earnings report, the company's stock rose about 12% to $7.23 [2]. This rally occurred on Aug. 6 [2] as investors reacted to the company's increased financial projections. SoundHound has now raised its full-year 2026 revenue outlook to between $230 million and $260 million [3].

A significant driver of this growth is the company's expansion into healthcare. On July 29, SoundHound announced that MUSC Health expanded its use of the "Emily" AI agent platform [4]. The deployment now includes retail and specialty pharmacies.

The Emily platform has already handled more than 2.2 million patient calls [4]. This partnership demonstrates the scalability of agentic AI in managing complex, regulated patient interactions, a move that reduces the administrative burden on medical staff.

SoundHound, headquartered in Santa Clara, California, said its recent success is due to strong enterprise AI demand [5]. The company's ability to secure large-scale contracts in the healthcare sector has provided a blueprint for expansion into other professional services.

Market analysts said that traders are beginning to separate software winners from losers in the AI space [2]. SoundHound's ability to convert AI capabilities into record revenue suggests a shift toward tangible monetization for voice-AI technology.

SoundHound AI reported record second-quarter revenue of $61.9 million

The shift toward 'agentic' AI represents a transition from AI that simply provides information to AI that can execute tasks, such as managing pharmacy calls. By securing high-volume partnerships like the one with MUSC Health, SoundHound is proving that voice AI can handle the scale and precision required for healthcare, which may lead to faster adoption across other regulated industries.