Smallest AI is a real-time voice AI platform built on smaller, specialized models instead of one massive general-purpose system. This lets it deliver faster, more efficient performance for speech synthesis, transcription, and conversational voice agents — without the latency and cost overhead of traditional large-model pipelines.
The platform includes Lightning, a text-to-speech model with ~100ms latency across 15+ languages and instant voice cloning from just 5-15 seconds of audio; Pulse, a speech-to-text model offering accurate transcription with speaker and emotion detection across 38+ languages; Electron, a sub-3B parameter language model optimized for voice agents with an OpenAI-compatible API; and Hydra, one of the first native speech-to-speech models built for production, enabling full-duplex conversation with no cascaded pipeline.
On top of these models sits Atoms, a no-code voice agent builder that lets teams create, test, and deploy production voice agents in minutes — complete with knowledge base grounding, outbound calling campaigns, telephony in 40+ countries, and mobile SDKs.
Smallest AI is SOC 2 Type II, HIPAA, GDPR, ISO 27001, and PCI-DSS compliant, with on-premise deployment available for regulated industries like healthcare, finance, and debt collection.