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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:31 PM
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TL;DR
Seed (YC)Moda — Understand Your AI Agents Analyzes production conversations for agent reliability.
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jan 2026). Investors: Y Combinator. (High).
Funding
Raised $500K across 1 funding round. Latest: $500K Pre-seed (Jan 2026). Investors: Y Combinator. (High).
Product / news
2 product/news‑styled row(s); headline risk without filings (High).
Verified facts
Moda Operandi, an online marketplace for high-end fashion, raises $100M led by NEA and Apax https://techcrunch.com/2020/01/31/moda-operandi-an-online-marketplace-for-high-end-fashion-raises-100m-led-by-nea-and-apax/
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.
discovery:google:google_cse_quota_exhausted
Source types found
Strongest / recent news-style rows
Customers · Thu, Jul 2, 03:42 PM · confidence 90%high quality
Pricing · Thu, Jul 2, 03:42 PM · confidence 90%high quality
techcrunch · Mon, Jun 29, 07:51 AM · confidence 78%high quality
Newest first · 19 event(s)
Source: Customers
See how AI-native teams use Moda to discover, debug, and improve agent behavior from production conversations.
Source: Pricing
Moda pricing for AI agent observability and continual learning is custom per client, scaled to your production conversation volume and pipeline usage. Talk to us.
Source: Blog
Notes on continual learning, agent harness improvement, intent discovery, and behavioral failure detection from the team building Moda.
Source: Careers page
Join Moda and help build the continual learning layer for AI agents.
Source: techcrunch
Moda Operandi, an online marketplace for high-end fashion, raises $100M led by NEA and Apax https://techcrunch.com/2020/01/31/moda-operandi-an-online-marketplace-for-high-end-fashion-raises-100m-led-by-nea-and-apax/
Source: official_site
Changelog | Moda | Moda Blog Docs Sign in Changelog New updates, improvements, and fixes to Moda. May 21, 2026 Conversation Navigation Conversation detail pages now support moving directly between adjacent conversations. Fixed Fixed an issue where previous an…
Source: official_site
Moda - The Continual Learning Layer for AI Agents Blog Docs Sign in ~0.9 INT F1 intent f1 0.82 → 0.94 novel 27 12 FLOWS missed intent -38% loops 9 low FRICTION friction 14.2 → 3.1% refund cluster hot policy drift rising auto AUTO TAG tool retry -41% fix shipp…
Source: official_site
About Moda | Continuous Learning for AI Agents | Moda Blog Docs Sign in About The continual learning layer for AI agents. Moda reads production conversations, surfaces emergent intents and behavioral failures, and turns them into concrete changes to the agent…
Winter 2026 batch; monitoring and reliability layer for AI agents.
Analyzes production conversations for agent reliability.
Technical blog on conversation clustering at scale.
Source: Blog / news
Articles from the Moda team.
Source: npm_registry
Self-host the Bodoni Moda font in a neatly bundled NPM package.
Source: npm_registry
CLI for Moda - AI agent analytics and observability
Source: npm_registry
Self-host the Bodoni Moda font in a neatly bundled NPM package.
4 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.
Changelog | Moda | Moda Blog Docs Sign in Changelog New updates, improvements, and fixes to Moda. May 21, 2026 Conversation Navigation Conversation detail pages now support moving directly between adjacent conversations. Fixed Fixed an issue where previous an…
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 ↗Moda - The Continual Learning Layer for AI Agents Blog Docs Sign in ~0.9 INT F1 intent f1 0.82 → 0.94 novel 27 12 FLOWS missed intent -38% loops 9 low FRICTION friction 14.2 → 3.1% refund cluster hot policy drift rising auto AUTO TAG tool retry -41% fix shipp…
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 ↗About Moda | Continuous Learning for AI Agents | Moda Blog Docs Sign in About The continual learning layer for AI agents. Moda reads production conversations, surfaces emergent intents and behavioral failures, and turns them into concrete changes to the agent…
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 ↗Analyzes production conversations for agent reliability.
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 ↗5 row(s)
Third-party press coverage. Independent reporting corroborates company claims; repeated coverage across outlets is a momentum signal.
See how AI-native teams use Moda to discover, debug, and improve agent behavior from production conversations.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Moda pricing for AI agent observability and continual learning is custom per client, scaled to your production conversation volume and pipeline usage. Talk to us.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Technical blog on conversation clustering at scale.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗2 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
Moda Operandi, an online marketplace for high-end fashion, raises $100M led by NEA and Apax https://techcrunch.com/2020/01/31/moda-operandi-an-online-marketplace-for-high-end-fashion-raises-100m-led-by-nea-and-apax/
Why it matters: Funding signal — capitalization evidence; check the linked source for round, amount, and investors.
Open source ↗Winter 2026 batch; monitoring and reliability layer for AI agents.
Why it matters: Funding signal — Pre-Seed per this source; verify against the linked original before relying on it.
1 row(s)
Open roles and careers pages. Active hiring implies runway to spend and shows where the company is investing (engineering vs GTM vs ops).
Join Moda and help build the continual learning layer for AI agents.
Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.
Open source ↗5 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
Self-host the Bodoni Moda font in a neatly bundled NPM package.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Official TypeScript/Node.js SDK for Moda AI analytics with automatic conversation threading
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗CLI for Moda - AI agent analytics and observability
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Moda Operandi design system
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Self-host the Bodoni Moda font in a neatly bundled NPM package.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗2 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
Notes on continual learning, agent harness improvement, intent discovery, and behavioral failure detection from the team building Moda.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Articles from the Moda team.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Sign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.