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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:17 PM
What would change this read
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TL;DR
Seed (YC)Moss | Real-Time Semantic Search for AI Agents Sub-10ms semantic search; browser, on-device, or cloud deployment.
Raised $500K across 1 funding round. Latest: $500K Seed (Sep 2025). Investors: Y Combinator. (High).
Funding
Raised $500K across 1 funding round. Latest: $500K Seed (Sep 2025). Investors: Y Combinator. (High).
GitHub
2 GitHub‑linked row(s) (High).
Product / news
5 product/news‑styled row(s); headline risk without filings (High).
Verified facts
+5 more in Recent movement below
Fall 2025 batch; sub-10ms semantic search runtime for AI agents and voice copilots.
Weak funding evidence: mention does not include a parsed raise amount/round and may refer to non-funding context.
No open roles indexed yet.
The index price and activity score are algorithmic estimates based on observed public company-level signals. They may be incomplete, stale, or inaccurate and are not investment, legal, tax, or business advice.
Source types found
Strongest / recent news-style rows
Pricing · Thu, Jul 2, 04:25 PM · confidence 90%high quality
Wed, May 20, 06:17 PM · confidence 88%high quality
Wed, May 20, 06:17 PM · confidence 85%medium quality
Newest first · 11 event(s)
Source: Pricing
Moss pricing plans for semantic search. Start free with $5/month credits, scale to Hobbyist ($30/mo), Start-up ($200/mo), or Enterprise with custom pricing.
Source: Blog
Insights, tutorials, and updates from the Moss team on real-time semantic search, AI agents, voice AI, and retrieval-augmented generation.
Source: Homepage
Moss delivers sub-10ms semantic search for conversational AI, voice agents, and copilots. Connect your data once — Moss indexes and distributes it wherever your agent runs: in-browser, on-device, or in the cloud.
Source: GitHub (linked from site)
GitHub presence linked from official site for Moss.
Source: GitHub (linked from site)
GitHub presence linked from official site for Moss.
Source: Blog / news
The founders of Moss share why they left Microsoft and Grammarly to build the real-time retrieval runtime, and why the future of conversational AI depends on killing latency at the source.
Source: Blog / news
Everyone blames the model. But in real-time AI, the real bottleneck is retrieval. Here's the data that proves it, and what it means for the next generation of AI applications.
Source: Blog / news
We profiled a production RAG pipeline before and after eliminating the retrieval network round-trip. The results explain why your AI agent feels slower than it should.
Source: Blog / news
We built a voice AI agent for moss.dev so visitors could get answers without waiting for a sales call. It quickly became one of our most effective ways to engage leads, and other companies started asking for it. Meet Founding Agent.
Fall 2025 batch; sub-10ms semantic search runtime for AI agents and voice copilots.
Real-time semantic search for conversational AI.
1 row(s)
The company's own site — the authoritative description of what they sell and to whom. Marketing-controlled, so treat claims as positioning rather than verified traction.
Moss delivers sub-10ms semantic search for conversational AI, voice agents, and copilots. Connect your data once — Moss indexes and distributes it wherever your agent runs: in-browser, on-device, or in the cloud.
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗2 row(s)
Third-party press coverage. Independent reporting corroborates company claims; repeated coverage across outlets is a momentum signal.
Moss pricing plans for semantic search. Start free with $5/month credits, scale to Hobbyist ($30/mo), Start-up ($200/mo), or Enterprise with custom pricing.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Real-time semantic search for conversational AI.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗1 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
Fall 2025 batch; sub-10ms semantic search runtime for AI agents and voice copilots.
Why it matters: Funding signal — Seed per this source; verify against the linked original before relying on it.
Open source ↗2 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
GitHub presence linked from official site for Moss.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗GitHub presence linked from official site for Moss.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗5 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
Insights, tutorials, and updates from the Moss team on real-time semantic search, AI agents, voice AI, and retrieval-augmented generation.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗The founders of Moss share why they left Microsoft and Grammarly to build the real-time retrieval runtime, and why the future of conversational AI depends on killing latency at the source.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Everyone blames the model. But in real-time AI, the real bottleneck is retrieval. Here's the data that proves it, and what it means for the next generation of AI applications.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We profiled a production RAG pipeline before and after eliminating the retrieval network round-trip. The results explain why your AI agent feels slower than it should.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We built a voice AI agent for moss.dev so visitors could get answers without waiting for a sales call. It quickly became one of our most effective ways to engage leads, and other companies started asking for it. Meet Founding Agent.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
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