Moss
moss.dev
Actively hiring
AI Development Tools
Developer Tools
Vector Search & RAG
As featured in
View 1 job
Claim pageClaim
Follow
Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
199
US Form 5500 (plan participants) · Dec 2025 · -12% in a year
Hiring now
1
open roles
Backers
1
Y Combinator
Momentum
30/100
in the news, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jun 15
Launched on Hacker News Show HN: We put voice agent on our website, learned retrieval isn't bottleneck
Oct 2025
Went through Y Combinator
2024
Founded
Tractionpublic signals, read monthly
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Investors in similar startupsfunds that back the companies most like this one
backs StackBlitz
backs Superlinked
backs StackBlitz
backs StackBlitz
backs StackBlitz
backs Superlinked
Similar startupsby what they do, their industry and backers
StackBlitz is a developer tools company that runs full-stack web development environments directly in the browser. Its WebContainers…
Nex is a software company building a context layer for AI agents that connects a business's CRM, meeting records, email and other workplace…
Chroma is a San Francisco company founded in 2022 that maintains one of the most widely used open-source embedding databases. Its library…
LlamaIndex is a platform for building knowledge agents over enterprise data, with an open-source agent orchestration framework in Python…
Conductor is a Y Combinator Summer 2024 start-up that builds developer tools for teams working with AI coding agents, including cloud…
Give your agents context that actually works. Real-time sync across Slack, GitHub, Jira, and more. One API, zero ops, semantic search…
Overview
Headquartered in San Francisco, California, Moss is a developer tools and AI infrastructure provider. The company offers a high-performance runtime for real-time semantic search designed specifically for conversational AI agents, voice assistants, and copilots. By deploying local-first vector indexes directly across browsers, mobile devices, and cloud servers with drop-in SDKs, it enables software engineers and AI developers to eliminate network latency, execute sub-10 millisecond retrieval queries, and deliver instant, responsive AI interactions.
News
Why AI Infrastructure Is Moving Into the Runtime
Open the architecture diagram for a typical AI feature in 2026 and count the boxes. The application is one of them. Around it sit an embedding API, a hosted vector database, a reranking endpoint, and an LLM API, all in someone else's cloud, each billed se
Read more
Report
Building Voice AI That Feels Human: A Latency Budget Breakdown
The first sign that a voice agent is slow is usually not a latency graph. It is the user saying, "Hello?" a second time. That second "Hello?" can create a surprisingly difficult failure loop. The agent may already be generating a response, but the user do
Read more
Report
Moss Is Generating Electrical Waves That Look Startlingly Like a Neural Network
Mosses are some of the earliest plants that appeared in the fossil record, but they're anything but simple.
Read more
Report
The Production AI Stack: A Reference Architecture for Real-Time AI Systems
A founder built an AI support agent for his ecommerce store using what has become the standard modern AI stack: a large language model, a cloud vector database containing the company's help center, and a small set of tools for common actions like looking
Read more
Report
The Clockwork Moss Tee: Cutting Through Greenwashing with GOTS-Verifie
If you're tired of vague claims and the constant whisper of greenwashing, I get it. We all do. The internet is a minefield of labels that promise everything but deliver little proof. Most 'sustainable' tees are indeed a scam, precisely because they lack t
Read more
Report
Report
We Built a Voice AI Agent for Our Website. Then Other Companies Started Asking for It.
As founders, there are a handful of questions we answer over and over again. What does your company do? How is it different? How does the technology work? Can it integrate with my stack? How much does it cost? Do you support enterprise? The interesting th
Read more
Report
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
Abstract page for arXiv paper 2605.22794: MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
Read more
Report
Show more news
Tech stack
Technologies named in job postings at Moss over the last 12 months, by layer, with the share of postings for each.
Technologies in use
33
Postings analysed
2
Stack modernity
73/100AI adopter
Languages
Python
Rust
C++
Elixir
JavaScript
Kotlin
Node JS
Swift
Frameworks & libraries
CUDA
PyTorch
Transformers
Cloud & platforms
Windows
WebAssembly
Developer tools
npm
AI & ML
Whisper
Practices & domains
Embeddings
Machine Learning
AI Agents
Contrastive Learning
Fine-tuning
Knowledge Distillation
Model Distillation
Multimodal AI
Sign in to see how your skills match this stack
Sign In
Salary insights
Compensation ranges based on this company's open jobs
Median
$300k
Typical range
$300k
Open positions
1
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $300k | $300k |
Highest paying role
Machine Learning Engineer
$300k
Normalized to USD per year
Growth
Hiring Momentum
57/100
Growing
Open positions
1
0 opened / 1 closed in 30 days
Median time-to-fill
27 days
faster than 47% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
33% ▼
Backend
33% ▼
Customer Success
33% ▼
Activity Timeline
Added Windows to stack
Sep 2026
Added Windows to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added World Models to stack
Sep 2026
Added Model Distillation to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
1 open roles 3 posted in 90 days 100% engineering 100% remote 50-200 est. staff $300k Avg Salary
hires for AI/ML
Jobs
$60k – $300k per year • Equity 0.1–0.5% • Remote (United States) • Full-Time • 6+ years exp • San Francisco
Python
Rust
Fine-tuning
Embeddings
Reinforcement Learning
Quantization
Multimodal AI
Knowledge Distillation
AI Agents
Speech Recognition
Transformers
PyTorch
RAG
Whisper
Reranking
Contrastive Learning
Synthetic Data
World Models
Model Distillation
Machine Learning
Apply