Compact speech and language models for real-time voice AI agents
smallest.ai builds small speech-to-text, text-to-speech and language models for voice agents, with a stack built around real-time transport (WebRTC, WebSockets, Twilio) on AWS EKS managed via Terraform, Helm and Argo CD. Job posts center on a training data engine and multilingual data quality, while parallel marketing and sales roles are building the GTM stack from scratch, pointing to a research-led team now standing up commercial motion.
smallest.ai is an AI research company headquartered in San Francisco, founded in 2023 and privately held, with 51–200 employees. It develops compact STT, TTS, speech-to-speech and small language models that power voice and multimodal AI applications. The platform supports on-prem and private cloud deployment and holds SOC2, GDPR, HIPAA and PCI compliance, targeting regulated enterprise buyers. The company hires across engineering, data, finance, marketing and sales in India and the United States.
smallest.ai runs Python and Kafka on AWS with Kubernetes (EKS), Terraform, Helm, Argo CD and Docker, uses WebRTC, WebSockets and Twilio for real-time voice, and HubSpot and Salesforce for GTM.
Current work includes a training data engine, real-time and batch data pipelines, voice agent development, telephony provider integrations, customer deployments, and SEO plus generative engine optimization.
smallest.ai is headquartered in San Francisco and hires in India and the United States, with hiring accelerating across engineering, data, finance, marketing and sales.
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smallest.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.