REAL-TIME SEMANTIC SEARCH FOR
Connect your data once. Moss indexes, packages, and distributes it so semantic search runs where intelligence happens:
in-browser, on the edge, or in the cloud.
Trusted by teams at
Plug-and-play Semantic Search across every surface
Get real-time retrieval inside apps, browsers, and enterprise agents — with centralized management, analytics, and scale built in.
$WHY MOSS ?
Moss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms retrieval, instant index updates, and zero infrastructure overhead. It runs wherever your intelligence lives - in-browser, on-device or in the cloud - so search feels native and effortless.
MODEL-AGNOSTIC
Works with any AI model - no vendor lock-in.
ZERO-HOP LATENCY
Answers from device memory in <10 ms - no internet delay.
ZERO INFRA OVERHEAD
Fully managed hybrid cloud and on-device retrieval.
OFFLINE-FIRST, CLOUD-SMART
Runs offline, cloud powered sync and analytics.
WHO IS IT FOR?
Moss is for developers building conversational, voice, and multimodal AI - experiences where every millisecond shapes how human the interaction feels.
For real-time, offline-capable assistance.
Superfast search without sending data to others.
Tiny engine (<20kB) that fits anywhere.
Keeps code local, great for security audits.
Combine speed with optional analytics and rollouts.
COMMON USE CASES
Where teams are putting Moss to work today...
Copilot Memory
Recall user context instantly, even offline.
Docs Search
Fast, private search inside help centers.
Desktop Productivity
Smart search in note apps or IDEs without sending data online.
AI-Native Apps
Sub-10ms search on phones and AI-PCs — no lag even with bad network.
HOW WE DELIVER?
You bring your data. Moss powers the retrieval layer - indexing, packaging, and distributing it automatically, so semantic search runs close to where intelligence happens. It enables your application to:
Run instantly, anywhere
Moss brings real-time semantic search to any environment - inside browsers, apps, or your own infrastructure - with sub-10 ms retrieval and no setup overhead.
Stay personal and private
Each user’s data can be embedded, searched, and updated locally, so experiences feel faster and more personal without sending data to the cloud.
Scale effortlessly
A simple cloud dashboard manages analytics, policies, and updates - giving teams visibility and control without maintaining infrastructure.
Get smarter over time
Moss continuously improves search quality and syncs enhancements automatically. Built-in A/B testing for embeddings makes it easy to compare and tune indexes for the best retrieval results.
OUR MISSION
“We’re building the foundation for the next generation of AI-native software - systems that understand context, react in real time, and run wherever intelligence happens.
Our mission is to make intelligence ambient - empowering every interaction, in every environment, to feel instant, personal, and human.”
PROVEN REAL-TIME PERFORMANCE
3 →
ACTIVE DEPLOYMENTS
Already powering production AI agents and multimodal applications.
<20 kB
Lightweight Runtime
Embeddable inside any browser, app, or edge environment - easy to integrate.
<10 ms
Response
Sub-10 ms median retrieval - instant, human-like search experiences.
100%
OFFLINE CAPABILITY
Fully functional on-device, in hybrid mode, or in the cloud. No dependency on GPUs or network latency.