SoundHound AI provides a voice‑native conversational AI platform that lets enterprises build and deploy AI agents capable of understanding, reasoning, and acting across phone, web, and device interfaces. Leveraging proprietary speech recognition, large‑scale language models, and a deterministic‑plus‑generative framework, the platform integrates with core enterprise systems and offers real‑time analytics to reduce operating costs and improve customer and employee experiences.
Funding
$451M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MBN+2Founders
Product
Problem
Enterprises across many sectors rely on phone and voice channels for customer service, employee support, and commerce, but traditional voice solutions are costly, require extensive custom development, and often fail to understand natural speech or integrate securely with existing systems.
Solution
SoundHound AI offers a voice‑native conversational AI platform—centered on its Amelia and Agentic+ framework—that enables brands to create AI agents capable of listening, reasoning, and acting across phone, web, and device interfaces. The platform combines proprietary speech recognition, large‑scale language models, and deterministic rule‑based engines to deliver fast, accurate, and context‑aware interactions. Agents can be deployed for inbound and outbound use cases such as appointment scheduling, bill payment, order taking, and IT ticket resolution, while integrating with core enterprise systems (e.g., Epic, Guidewire, Jack Henry, major CRMs) and supporting HIPAA‑level security. A unified cloud‑edge stack provides real‑time analytics, continuous learning from each conversation, and easy scaling to billions of annual interactions, helping brands reduce operating costs, increase revenue, and improve customer and employee satisfaction.
Target Audience
Primary customers are large enterprises and brands that operate contact centers, digital banking, healthcare portals, hospitality services, retail chains, and automotive infotainment systems, seeking scalable voice‑first AI agents for both customer‑facing and employee‑assist use cases.
Features
- Proprietary end‑to‑end voice AI stack with high‑accuracy speech recognition and generative language models
- Agentic+ framework that blends deterministic, compliance‑focused workflows with generative AI for natural dialogue
- Pre‑built industry templates (healthcare, finance, hospitality, retail, automotive, etc.) for rapid agent deployment
- Seamless integrations with enterprise systems (EHRs, banking cores, insurance platforms, CRM, ITSM tools) and HIPAA‑compliant data handling
- Edge and cloud deployment options for low‑latency, on‑premise, or hybrid architectures
- Real‑time analytics dashboard and continuous model improvement from live interactions
- Multi‑modal support for voice, chat, and voice‑commerce across phone, web, in‑car, and smart‑device environments