Real-Time Voice AI Platform Built for Scale
Smallest AI is a real-time voice AI platform built on smaller, specialized models instead of one massive general-purpose system. Rather than scaling a single generic model to handle every task, Smallest trains compact, purpose-built models for speech synthesis, transcription, language understanding, and native speech-to-speech conversation — each optimized for its specific job. The result is faster inference, lower latency, and more efficient performance across voice-driven applications, from customer support automation to conversational AI products.
Core Models
Smallest AI’s platform is built on four proprietary models, collectively known as Waves.
Lightning, the text-to-speech model, delivers studio-quality audio at 44.1kHz with ~100ms latency across 15+ languages. It supports automatic language detection, mid-sentence code-switching between languages, and instant voice cloning from just 5-15 seconds of reference audio — making it suitable for voice agents, audiobooks, gaming, advertising, and accessibility tools.
Pulse, the speech-to-text model, offers accurate real-time transcription across 38+ languages with built-in speaker diarization, emotion detection, and PII/PCI redaction. Independent benchmarks place Pulse at the top for streaming latency and word error rate across English, European, and Indic languages, with sub-100ms time-to-first-transcript.
Electron is a sub-3B parameter language model purpose-built for voice agents, exposed through an OpenAI-compatible chat completions API. It supports 70 languages, sub-300ms time-to-first-token, automatic prefix caching, and voice-agent-specific behaviors like emitting filler phrases before tool calls, so a conversation never goes silent while a background task runs.
Hydra is one of the first native speech-to-speech models built for production. Unlike traditional voice AI, which cascades separate speech-to-text, language model, and text-to-speech stages, Hydra processes speech and text simultaneously in a single unified architecture — enabling true full-duplex conversation, where the model can listen and respond at the same time, with sub-300ms latency and no round-trip conversion overhead.
Atoms: The No-Code Voice Agent Platform
On top of these four models sits Atoms, a no-code voice agent builder. Teams can create, test, and deploy a fully functional voice agent in minutes by describing its role, conversational flow, and fallback behavior in plain language. Atoms includes knowledge base grounding, outbound calling campaign tools, telephony support in 40+ countries, webhooks, post-call analytics, and mobile SDKs for iOS, Android, React Native, and Flutter. A complete conversational turn — transcription, reasoning, and spoken response — completes in under 800ms end to end, a speed the company positions as indistinguishable from human conversation.
Security, Compliance, and Deployment
Smallest AI is SOC 2 Type II, HIPAA, GDPR, ISO 27001, and PCI-DSS compliant. For regulated industries such as healthcare, finance, and debt collection, the platform also supports on-premise deployment, running inference directly on customer-owned infrastructure so no data ever leaves the customer’s hardware.
Not one massive model that knows everything, but many small ones that each know exactly what matters.
Smallest AI offers a free tier with $10 in credits and no credit card required, followed by usage-based pricing, with custom Enterprise plans available for teams needing dedicated support, SLA guarantees, and on-premise deployment.
