Smallest AI

Smallest AI develops small, efficient multimodal AI models and an agentic platform designed to outperform LLMs 100–1000× their size. Their flagship products include Lightning (text-to-speech), Pulse (speech-to-text), Electron (small language model), and Hydra (speech-to-speech), all engineered for ultra-low latency and enterprise-scale deployments. The Atoms platform enables businesses to create, test, deploy, and analyze voice and text agents across channels with minimal setup. Smallest AI targets industries like healthcare, e-commerce, debt collection, logistics, and recruitment.

• Lightning TTS — A text-to-speech model series with 100ms time-to-first-byte, 30+ languages, thousands of accents, voice cloning, and hyper-realistic emotional voices.
• Pulse STT — A speech-to-text model supporting 38+ languages with code-switching, streaming and batch modes, emotion/speaker/timestamp detection, and interruption handling.
• Electron SLM — A sub-3B parameter small language model with 45ms TTFT, outperforming GPT-4.1 on multiple benchmarks, specialized for conversational use cases with NSFW and prompt-attack protection.
• Hydra S2S — A full-duplex multimodal speech-to-speech model with tool calling, asynchronous thinking, and hyper-emotional dialogue.
• Atoms Platform — A self-learning multi-modal AI agentic platform for building, testing, deploying, and analyzing voice and text agents across voice, email, chat, and social channels.
• Developer SDKs — Python and Node.js SDKs available for programmatic access to all model APIs.
• Enterprise Security — SOC 2 Type 2, HIPAA, PCI, GDPR, and ISO-aligned compliance with on-premises deployment options.
• On-Premise Deployment — Available for enterprise clients requiring data sovereignty and zero data retention.