Power enterprise voice with Smallest AI's Text-to-Speech, Speech-to-Text, and Voice Agent APIs. Real-time, hyper-realistic, and built to scale., Intelligent Forms that 10x Conversions
Smallest AI is an advanced, real-time voice AI platform engineered for scalability, specializing in the development and deployment of small, efficient multi-modal models. The company champions a paradigm shift in artificial intelligence, positing that intelligence is best replicated not by a single, massive model, but through a constellation of specialized, smaller models. This philosophy is applied to create a suite of high-performance models for speech-to-text, text-to-speech, speech-to-speech, and language tasks. The platform provides a complete agentic orchestration environment, enabling businesses to build, configure, and launch sophisticated voice agents for diverse use cases from a unified interface. Designed for developers and enterprises, Smallest AI prioritizes low-latency performance, enterprise-grade security, and seamless integration, making it a foundational toolkit for building the next generation of conversational AI applications.
Using Smallest AI involves accessing its suite of models and the agent platform through its APIs and web interface. For developers, the primary method is integration via the API. For instance, to generate speech using the Lightning TTS model, a developer would send an HTTP POST request with the desired text and voice parameters. The platform also provides a web-based Playground for testing agents and models without writing code. To begin, users typically sign up for an account, obtain an API key, and then integrate the relevant endpoints (for TTS, STT, LLM, or Agents) into their applications. The agent platform offers a visual interface for non-technical users to build and launch voice AI workflows. Extensive documentation guides users through getting started, API references, and platform features for both the model APIs (Waves) and the agent platform (Atoms).
Smallest AI operates on a usage-based pricing model for its core models (TTS, STT, LLM, Voice Cloning) and a subscription-based model for its agent platform. Pricing for the ### Agents platform starts with a ### Free tier, which includes 30 agent minutes per month and access to standard voices. Paid plans, such as the ### Pro plan, begin at ### $100 per month, offering higher monthly minute allowances, premium voices, and additional features like phone number provisioning. Pricing for the ### model APIs is based on consumption, typically measured in characters (TTS), seconds of audio (STT), or tokens (LLM). Detailed, up-to-date pricing for all services is available on the official Smallest AI pricing page.
Waves) and its agent platform (Atoms). Familiarize yourself with the correct docs for your use case.Smallest AI believes the future of AI lies in specialized, small models rather than one giant, general-purpose model. This approach leads to faster, more efficient, and more deployable AI systems that can be fine-tuned for specific tasks, especially in the voice domain.
Yes. Smallest AI's agent platform (Atoms) provides a visual, no-code interface where you can configure an agent's knowledge, voice, language, and call flow, then deploy it directly to channels like telephony.
The platform is certified under ISO 27001 and SOC 2 Type II, and is compliant with GDPR and HIPAA regulations. It employs enterprise-grade security practices, including encryption, access controls, and proactive threat monitoring. Customer data is not used for training models.
A speech-to-speech (STS) model like Hydra processes and generates speech directly in the audio domain, without first converting to text. This preserves para-linguistic features like tone, emotion, and timing, leading to more natural and expressive conversational AI.
Smallest AI provides comprehensive technical documentation, API references, and SDKs. For further support, developers can access resources through the community Discord channel or contact the sales team for enterprise-level support and consultation.
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