Smallest.ai

Smallest.ai is a platform for building and deploying highly efficient, small-scale multimodal AI models and agents. Its primary purpose is to deliver advanced reasoning, language, and perception capabilities in models under 10 billion parameters, significantly reducing compute and latency requirements while maintaining strong performance. The platform enables organizations to integrate powerful AI into products and workflows without the infrastructure overhead typically associated with large language models.

The core technology behind Smallest.ai focuses on self-learning, multimodal models that process text, voice, and other inputs in a unified framework. These models are optimized to outperform LLMs 100–1000× their size in both speed and resource usage, with time-to-first-token as low as 45 ms and dramatically lower GPU utilization. The platform supports agentic behavior, enabling AI agents that can reason, plan, and act across tools and data sources while maintaining human-like conversational quality in both text and voice. Its architecture is designed for low-latency, high-throughput applications, making it suitable for real-time, interactive systems.