SoundHound AI Inc. (NASDAQ: SOUN) is a voice and agentic AI company focused on enabling businesses to deliver natural conversational experiences across digital and physical channels. Its technology supports interactions through phones, kiosks, chat systems, smart devices, drive-thrus, smart TVs, vehicles, and other connected environments, allowing organizations to engage customers and employees through voice-enabled interfaces powered by artificial intelligence.
The company’s platform is designed to support real-time conversational intelligence at enterprise scale through a proprietary end-to-end AI architecture. SoundHound’s technology portfolio combines automatic speech recognition, natural language understanding, generative AI, orchestration capabilities, and edge-plus-cloud connectivity to help businesses automate workflows, improve customer experiences, and support operational efficiency across multiple industries.
SoundHound serves customers across automotive, financial services, healthcare, insurance, restaurants, retail, telecommunications, travel, hospitality, utilities, and smart devices. The company states that its platform powers millions of products and services globally while processing billions of interactions annually for enterprise customers.
SoundHound AI is headquartered in Santa Clara, California.
Products
OASYS Agentic AI Platform
In May 2026, SoundHound introduced OASYS (Orchestrated Agent System), which the company describes as the world’s first self-learning orchestrated agentic AI platform where AI builds AI. The platform is designed to allow businesses to create, deploy, orchestrate, evaluate, and improve conversational AI agents across digital and physical channels, including phones, web chat, kiosks, vehicles, smart TVs, and contact centers.
According to the company, OASYS dynamically coordinates multiple AI agents within a single interaction and supports multilingual deployment, persistent cross-channel context, enterprise-grade guardrails, and human escalation paths where necessary. The platform also incorporates capabilities from the company’s broader AI portfolio, including Amelia and Autonomics, into a unified agentic AI ecosystem.
Voice AI and Conversational Intelligence
SoundHound’s independent voice AI platform is built around proprietary technologies including Speech-to-Meaning®, Deep Meaning Understanding®, Collective AI®, and Polaris automatic speech recognition (“ASR”). The company states that its Speech-to-Meaning® technology combines speech recognition and language understanding simultaneously in real time, improving latency and accuracy compared to conventional two-step voice systems.
The company states that its platform supports more than 100 languages, with over 30 available on edge devices, and processes more than 1 billion queries per month across millions of deployed endpoints. SoundHound’s Polaris ASR platform is designed to operate in noisy, real-world environments and can be fine-tuned for industry-specific vocabulary and use cases.
Enterprise and Industry Solutions
SoundHound offers a portfolio of AI-powered products and services targeting enterprise operations, customer engagement, and automation. Its Amelia Platform enables enterprises to build AI agents for customer service, HR, IT services, and operational workflows, while the Autonomics Platform focuses on AI-powered IT service management (“ITSM”) and AIOps automation.
The company also provides products including Smart Answering, Smart Ordering, Dynamic Drive-Thru, Employee Assist, Voice Commerce, Wake Word technology, and Chat AI Automotive. Recent deployments highlighted by the company include AI-powered ordering and automation solutions for Casey’s across more than 2,600 locations, as well as expanded deployments across automotive, financial services, healthcare, insurance, utilities, and telecommunications customers.
Market Opportunity
SoundHound identifies voice AI as a large and expanding market opportunity spanning multiple industries and connected-device ecosystems. According to the company’s investor presentation, the total addressable market (“TAM”) for voice AI was estimated at more than $140 billion in 2024, with active deployments across automotive, restaurants, retail, financial services, healthcare, smart devices, hospitality, telecom, and enterprise applications.
Within automotive, the company estimates the global light vehicle market at approximately 88 million units in 2024, increasing to approximately 95 million units by 2028. SoundHound also states that it sees opportunities to increase penetration with both existing and new automotive customers as conversational AI adoption expands across vehicle platforms and connected mobility systems.
The company also highlights opportunities in restaurant automation, where it estimates the global restaurant market at approximately $3.3 trillion in 2024 and approximately $4.4 trillion by 2028. In addition, SoundHound cites broader monetization opportunities tied to connected commerce and digital advertising, referencing a projected 2026 global e-commerce market of $7.4 trillion and a projected 2026 global digital advertising market of $820 billion.
Leadership Team
Keyvan Mohajer, Co-Founder & Chief Executive Officer, leads SoundHound AI’s strategic vision focused on conversational AI and voice-enabled technologies. Inspired by science fiction and natural interaction with machines, he helped launch the company with the goal of enabling custom voice assistants that improve convenience and productivity. Mohajer earned his PhD in Electrical Engineering from Stanford University.
Majid Emami, Co-Founder & Chief Science Officer & Senior Vice President Engineering, leads the company’s technology research and development efforts related to speech recognition and machine learning. He is listed as the holder of 16 patents related to voice AI technology and oversees innovation initiatives across SoundHound’s engineering organization. Emami earned his PhD in Electrical Engineering from Stanford University.
James Hom, Co-Founder & Chief Product Officer, leads product development for the SoundHound AI platform, SoundHound Services, and the company’s business-to-consumer offerings. According to the company, these products collectively reach hundreds of millions of end users globally. Hom earned his bachelor’s degree in computer science from Stanford University.