Smallest AI is a voice AI infrastructure company building highly efficient speech models and conversational AI systems for enterprise applications. The company focuses on delivering production-ready voice technology that combines low latency, high-quality speech generation, and cost-efficient deployment. Rather than relying on increasingly large foundation models, Smallest AI develops compact, specialized models capable of delivering real-time performance for customer support, sales automation, virtual assistants, healthcare, financial services, and other voice-driven applications.
Its platform includes text-to-speech (TTS), speech-to-text (STT), voice cloning, speech-to-speech conversion, and AI voice agents through developer-friendly APIs. The company's models are designed to generate natural, multilingual speech with response times measured in milliseconds, making them suitable for interactive conversations where speed and responsiveness are critical. Enterprise customers also benefit from security and compliance features, including ISO 27001, SOC 2 Type II, GDPR, and HIPAA compliance, enabling deployment in regulated industries.
Founded by Sudarshan Kamath and Akshat Mandloi, Smallest AI is building infrastructure for the next generation of conversational AI by prioritizing efficiency over model size. Its technology is designed to reduce inference costs while maintaining high-quality voice interactions, helping businesses deploy scalable AI voice solutions without requiring extensive computing resources. Following its $8 million seed round, the company is expanding its product portfolio and global presence as demand for enterprise voice AI continues to grow.