Smallest AI

Develops compact AI models under 10B parameters for ultra-low latency voice AI agents and text-to-speech.

Updated April 2026

Overview

Website: smallest.ai
Headquarters: San Francisco, CA, USA
Segment: Audio & Speech

Product overview

Smallest AI builds efficient multi-modal models like Lightning (TTS), Pulse (STT), Electron (SLM), and Hydra (speech-to-speech) delivering sub-100ms latency for real-time conversational AI. Their products power voice agents for enterprises in banking, healthcare, ecommerce, and customer support, handling billions of calls with 30+ language support and enterprise compliance (HIPAA, SOC2). Distinct with small model sizes (under 3B params), on-premise deployment, and full-stack control for production-scale reliability.

Revenue model

Subscription tiers: Free ($0), Pro ($9/mo pay-as-you-go); enterprise custom pricing with dedicated support, higher rate limits, and on-premise deployment options; usage-based billing per minute/character for voice APIs.

Moat

No specific information on the competitive moat of 'Smallest AI' appears in the available search results, which discuss general AI moats like regulatory, physical, workflow, scale, proprietary data, and brand without mentioning this company.

Headwinds

Early-stage company competing against well-funded voice AI incumbents like ElevenLabs in a rapidly commoditizing market.