Company Description
SoundHound AI, Inc. (Nasdaq: SOUN) is a global company focused on voice and conversational artificial intelligence. According to its public disclosures, SoundHound AI develops proprietary voice AI technology that enables natural, spoken interactions between people and technology across a range of industries, including retail, financial services, healthcare, automotive, smart devices, and restaurants. The company’s platform is designed to deliver high speed and accuracy in numerous languages so that businesses can offer more intuitive customer and employee experiences.
Core business and technology focus
SoundHound AI describes itself as a provider of solutions that allow businesses to offer superior experiences to their customers using voice and conversational AI. Its technology stack includes automatic speech recognition, natural language understanding, agent orchestration, and text-to-speech, as referenced in its product announcements. These capabilities underpin a portfolio of AI-driven products and platforms that support both customer-facing and enterprise IT use cases.
The company highlights several named offerings in its news releases and corporate descriptions:
- Smart Answering – an AI-driven product for handling inbound queries.
- Smart Ordering – a solution that enables voice-based ordering workflows.
- Dynamic Drive-Thru – a voice AI system for drive-thru interactions in restaurants.
- Amelia Platform / Amelia 7 – an enterprise AI platform that powers AI agents capable of reasoning, acting, and performing complex tasks via text or voice.
- SoundHound Chat AI – a voice assistant with integrated generative AI.
- Autonomics – an operations platform that automates IT processes.
These products are described as enabling SoundHound AI to power millions of products and services and to process billions of interactions each year for large enterprise brands across multiple sectors.
Agentic AI and AI agents
A recurring theme in SoundHound AI’s communications is its focus on agentic AI and autonomous AI agents. The company’s Amelia 7 platform is presented as an agentic AI framework that supports goal-setting, planning, orchestration, reasoning, and function execution. Its AI agents can listen, reason, and act, handling complex multi-step tasks and orchestrating in fleets to achieve a particular goal.
SoundHound AI describes its Agentic+ framework as a flexible combination of generative AI, multi-agent autonomous orchestration, traditional deterministic models, and human-in-the-loop. This approach is intended to allow enterprises to combine large language model reasoning with structured flows and human oversight, depending on the use case. The platform’s AI agents can operate across channels such as chat, text, and voice, and leverage SoundHound’s proprietary speech recognition engine, which the company states has low latency and strong natural language understanding.
Voice commerce and in-vehicle experiences
SoundHound AI has placed particular emphasis on voice commerce and in-vehicle applications. Its news releases describe an in-car voice commerce platform that enables drivers and passengers to execute transactions using natural voice commands through the vehicle’s infotainment system.
Examples from company announcements include:
- In-vehicle food ordering and take-out ordering with thousands of restaurant locations in the United States.
- Restaurant reservations via a fully conversational in-vehicle reservations agent integrated with OpenTable.
- Parking search and payments through a voice AI parking agent developed with Parkopedia, allowing drivers to find, compare, and pay for parking by voice.
- Planned capabilities for flight bookings, hotel reservations, and other travel-related transactions.
At CES events, SoundHound AI has showcased an agent orchestration platform that brings multiple AI agents into the vehicle to carry out tasks and transactions on behalf of the driver. The company also describes an omnichannel agentic environment built on its Amelia 7 platform that can host agents optimized for MCP and A2A protocols, enabling businesses and OEMs to deploy self-built agents, pre-built agents, or external agents within the SoundHound ecosystem.
Vision AI for vehicles
In addition to voice, SoundHound AI has introduced Vision AI for vehicles, which unites real-time visual perception from vehicle cameras with its conversational AI platform. According to the company, Vision AI combines the camera feed with its Polaris speech recognition, natural language understanding, agent orchestration, and text-to-speech technologies. This allows the in-vehicle assistant to listen, see, and interpret the environment, enabling use cases such as asking about landmarks, interacting with billboards, translating signs, or referencing recent road features, all via voice.
The combination of agentic voice commerce and Vision AI is positioned by the company as a way to unlock information discovery, entertainment, transactions, and interactions from the vehicle using natural speech.
Enterprise and sector coverage
SoundHound AI’s disclosures indicate that its technology is deployed across multiple sectors. The company states that its conversational AI is used by hundreds of large enterprise brands and is deployed in millions of cars and devices globally. Examples of sectors and applications mentioned in its releases include:
- Automotive – in-vehicle assistants, infotainment voice interfaces, in-helmet voice control for two-wheelers, and collaborations with global automakers and EV manufacturers.
- Restaurants – AI ordering solutions, drive-thru voice systems, and employee assist tools used by national and international restaurant and coffee chains.
- Financial services – AI agents for customer service and enterprise use, and research on agentic AI adoption in banking, including work with large global financial institutions.
- Insurance – deployment of Amelia 7 for contact centers, handling tasks such as identity verification, contract questions, personal data updates, and quote generation.
- Healthcare – inbound and outbound agentic AI solutions for healthcare providers and hospital systems.
- Retail and consumer goods, telecommunications, energy, IT services, and fitness/wellness – AI agents and Smart Answering for customer engagement and operations, as described in the company’s business highlights.
Autonomics and IT operations
Beyond customer-facing interactions, SoundHound AI offers Autonomics, described as an AI-powered operations platform that automates IT processes. The company states that Autonomics enables AI-driven, end-to-end automation of IT systems through a single interface. It is positioned as going beyond traditional IT infrastructure monitoring by helping users understand why an issue occurred and resolve it quickly, turning existing IT tools into a more automated system that detects, diagnoses, and resolves problems.
Acquisitions and platform evolution
SoundHound AI has used acquisitions to expand its capabilities in conversational AI and workflow orchestration. In an 8-K filing, the company reported completing the acquisition of all issued and outstanding shares of Interactions Corporation, a Delaware corporation, under an Agreement and Plan of Merger dated September 3, 2025. The filing notes that Interactions became a wholly owned subsidiary of a SoundHound entity at closing.
In its quarterly results release, SoundHound AI also references the acquisition of Amelia and Interactions as part of its strategy to strengthen its position in agentic AI. The company has launched successive versions of its Amelia platform, with Amelia 7 described as one of the first conversational AI platforms to offer agentic capabilities to enterprise businesses. The platform supports autonomous AI agents that can coordinate to complete complex tasks and is recognized in independent assessments such as Everest Group’s Conversational AI and AI Agents in CXM Products PEAK Matrix Assessment.
Stock listing and capital structure
According to its SEC filings, SoundHound AI, Inc. is incorporated in Delaware and its Class A common stock trades on The Nasdaq Stock Market LLC under the ticker symbol SOUN. The company also has publicly traded warrants, each exercisable for one share of Class A common stock at a specified exercise price, listed on Nasdaq under the symbol SOUNW. Filings indicate that the company has reported having cash and cash equivalents and no debt at certain reporting dates, and that it uses both GAAP and non-GAAP measures to describe its financial performance.
Recognition and industry positioning
SoundHound AI’s communications highlight third-party recognition of its conversational AI capabilities. For example, Everest Group’s PEAK Matrix assessment for conversational AI and AI agents in customer experience management products identifies SoundHound AI as a Leader and notes its agentic AI framework, support for action and cognitive agents, and proprietary voice engine. The company also references recognition in other industry evaluations.
While these recognitions are described in company materials, investors and users should refer directly to the underlying research reports and SEC filings for detailed criteria, methodology, and risk factors.
Use cases and scale
Across its news releases, SoundHound AI emphasizes that its technology powers interactions in vehicles, contact centers, drive-thru lanes, smart devices, and enterprise IT environments. It states that its solutions have enabled it to power millions of products and services and to process billions of interactions each year for businesses ranging from global financial institutions and insurers to restaurant chains, retailers, utilities, and technology service providers.
For prospective investors and partners, SoundHound AI’s official news releases and SEC filings provide the most direct view into its product evolution, acquisitions, sector coverage, and financial reporting practices.