Moss

Tagline Brand's website · 2026-10-04

Sub-10ms retrieval latency (up to 100x faster than vector databases), no vector databases required, eliminates network hops, runs directly in browser/edge/device/cloud, 20% lower cost compared to cloud RAG pipelines.

Description Brand's website · 2026-10-04

Moss provides a low-latency (<10 ms) retrieval layer for real-time AI systems, designed to replace traditional vector databases. It eliminates network hops and runs directly in the browser, edge, device, or cloud, enabling faster and more cost-effective AI applications like voice agents, copilots, and on-device AI.

Core capabilities Brand's website · 2026-10-04

• Low-latency retrieval layer for real-time AI systems
• an alternative to vector databases for RAG; SDKs for Python and TypeScript.

Pricing Brand's website · 2026-10-04

Not specified, likely a usage-based or enterprise model with a free tier/trial available.

Target industry Brand's website · 2026-10-04

Teams building real-time AI systems, developers, enterprises focused on voice AI agents, AI copilots, in-app search, and on-device AI.

Competitors Brand's website · 2026-10-04

• ChromaDB
• Qdrant
• Pinecone
• Weaviate