Smallest AI addresses the challenge of slow, expensive, and overly complex voice AI systems by offering scalable, real-time voice AI built on smaller, specialized models rather than one massive general-purpose framework. This specialization allows for faster, more efficient performance in speech synthesis, transcription, and conversational AI. With rising demand for natural, low-latency voice experiences, Smallest AI provides fast, production-ready models that adapt to real-time interaction without the overhead of traditional large-model pipelines. Key features include: - **Lightning (Text-to-Speech)**: Blazing-fast TTS with ~100ms latency across 15+ languages, automatic language detection, mid-sentence code-switching, and voice cloning from just 5–15 seconds of audio. - **Pulse (Speech-to-Text)**: The most accurate transcription available, with emotion and speaker detection across 38+ languages, built-in PII/PCI redaction, and sub-100ms streaming latency. - **Electron (Small Language Model)**: A sub-3B parameter language model that outperforms larger models like GPT-4.1 on voice-agent tasks, with an OpenAI-compatible API and sub-300ms time-to-first-token. - **Hydra (Speech-to-Speech)**: One of the first native speech-to-speech models built for production — no cascaded pipeline, full-duplex conversation, and sub-300ms latency. - **Atoms (Voice Agent Platform)**: A no-code builder for deploying voice agents in minutes, with knowledge base grounding, outbound campaigns, telephony, and mobile SDKs. Compared to traditional large general-purpose models like GPT-4, Smallest AI's approach trades unnecessary scale for efficiency and specialization. This means faster inference, lower cost per interaction, easier rapid prototyping, and better performance on voice-specific tasks — without compromising quality or reliability at production scale. Pricing is usage-based, with separate rates for TTS, STT, and voice agent minutes. A free tier with $10 in credits is available to get started, with custom enterprise pricing for teams needing on-premise deployment, SLAs, and dedicated support. Details are up on the pricing page. FAQs: 1. **What languages do you support?** Our models support 15+ languages for text-to-speech and 38+ languages for speech-to-text, with strong coverage of English, European, and Indic languages. 2. **How does the pricing work?** Pricing is usage-based, with different models priced by minute or character depending on complexity and features. Enterprise plans offer custom pricing and on-premise deployment. 3. **Can I integrate your API easily?** Yes. Our APIs are built for rapid prototyping and seamless integration, including OpenAI-compatible endpoints, so you can start fast and scale as needed. 4. **What are the security measures in place?** We maintain enterprise-grade security including ISO 27001, SOC 2 Type II, GDPR, HIPAA, and PCI-DSS compliance, with on-premise deployment for regulated industries.
