# Moss

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/moss
- **Dataset:** https://optimly.ai/brand/moss.json
- **Markdown:** https://optimly.ai/brand/moss/llms.txt
- **Official website:** https://moss.dev
- **Slug:** moss
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** 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.
Source: Brand's website (https://moss.dev) · 2026-10-04

- **Description:** 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.
Source: Brand's website (https://moss.dev) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Low-latency retrieval layer for real-time AI systems
  - an alternative to vector databases for RAG; SDKs for Python and TypeScript.
Source: Brand's website (https://moss.dev) · 2026-10-04

- **Pricing:** Not specified, likely a usage-based or enterprise model with a free tier/trial available.
Source: Brand's website (https://moss.dev) · 2026-10-04

## Audience

- **Target industry:** Teams building real-time AI systems, developers, enterprises focused on voice AI agents, AI copilots, in-app search, and on-device AI.
Source: Brand's website (https://moss.dev) · 2026-10-04

## Landscape

- **Competitors:**
  - ChromaDB
  - Qdrant
  - Pinecone
  - Weaviate
Source: Brand's website (https://moss.dev) · 2026-10-04

Page last updated 2026-10-17.