We build real-time semantic search infrastructure for conversational and agentic AI.
AI interfaces are changing. Voice agents, copilots, and multimodal apps all share the same hard requirement:
retrieval must happen at the speed of thought.
But today’s search stacks are:
- too slow for real-time interaction
- overly cloud-dependent
- painful to integrate and scale
Moss exists to fix that.
Moss is a real-time search runtime designed for AI-native applications:
- ⚡ Sub-10ms semantic + hybrid retrieval
- 🌍 Runs anywhere — browser, edge, on-device, or cloud
- 🧠 Built for agents — memory, personalization, context
- 🧩 Simple APIs that feel like using a database
- 🚀 Developer-first: easy to start, hard to outgrow
Think of Moss as the search layer modern AI apps should have had from day one.
Teams use Moss to power:
- Voice AI agents that can’t afford latency
- Conversational copilots with long-term memory
- Multimodal systems blending text, voice, and context
- Real-time personalization for AI-driven products
If retrieval is on your critical path, Moss is built for you.
We’re building the foundation for real-time AI-native applications — infrastructure that matches how users actually interact with AI.
We’re early, but already working closely with teams pushing this space forward.
If you’re building fast, interactive AI systems — welcome.