Real-time semantic search for Conversational AI
Conversational and voice AI products suffer from latency and cost due to slow, network-dependent semantic retrieval that breaks real-time interactions.
Moss provides a real-time semantic search runtime with an optimized Rust/WebAssembly vector index that runs on browsers, mobile devices, and servers to deliver sub-10 ms retrieval for AI agents.
Developers and product teams building voice agents, copilots, and chat interfaces for consumer and enterprise applications.
Founder & CEO of Moss. We are developing real-time semantic search for conversational AI.
Co-founder & CTO of Moss. We are developing real-time semantic search for conversational AI.



