Moss

Moss delivers sub-10ms semantic search for conversational AI, voice agents, and copilots. By connecting your data just once, Moss efficiently indexes and distributes it across various platforms, whether in-browser, on-device, or in the cloud. This means that your AI agents can access the information they need almost instantaneously, enhancing their performance and user experience.

The core of Moss's technology is its ability to run search operations within the agent runtime itself. This allows for sub-10ms lookups, ensuring that your agents always have access to the most current data without the need for complex infrastructure management. With Moss, you can push your data sources—such as documents and knowledge bases—through their SDK or portal, and the system will handle the indexing, syncing, and distribution automatically.

Moss is particularly designed for developers building voice AI, copilots, or multimodal applications where fast retrieval is critical. It provides a lightweight runtime that operates seamlessly in browsers, mobile apps, and desktop tools, even working offline and syncing when connected. This ensures that your agents can recall, reason, and respond without delays, making conversations feel more natural and fluid.

With built-in A/B testing for embeddings and no need for clusters or replicas, Moss simplifies the development process. You can easily compare different configurations on your own data corpus to find what works best before launching your application. Join over 500 teams that are already leveraging Moss to build the future of conversational AI, and get started for free today.