Voice AI and conversational platform for enterprise automation
SoundHound AI operates a multi-product voice and conversational AI platform serving retail, financial services, healthcare, automotive, and restaurants. The tech stack—Java, Kubernetes, Cassandra, Kafka, plus VoIP and contact-center integrations (Genesys, Five9)—reflects a company managing high-volume, low-latency audio streams at scale. Active projects center on scaling that real-time audio layer, reducing latency, and deepening enterprise integrations, while hiring remains engineering-focused across mid to staff levels, signaling sustained investment in platform stability and feature depth rather than sales expansion.
SoundHound AI is a public company (Nasdaq: SOUN) building voice recognition, natural language processing, and conversational AI products for mid-market and enterprise. The portfolio spans Smart Answering, Smart Ordering, Dynamic Drive-Thru, the Amelia Platform (for AI Agents), SoundHound Chat AI (voice assistant with generative AI), and Autonomics (IT process automation). The company processes billions of interactions annually across customer-facing and back-office workflows. Based in Santa Clara with 501–1,000 employees, SoundHound operates globally and hires across the US, Japan, China, Canada, and India.
Java, Python, Kubernetes, Cassandra, MySQL, Redis, Kafka, Docker, AWS/GCP/Azure/OCI, Genesys, and Five9 for VoIP and contact-center integration.
Santa Clara, California. The company hires across the US, Japan, China, Canada, and India.
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SoundHound AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.