Valgo | Y Combinator
Winter 2026 batch; risk quantification for insuring physical AI (robots, AVs).
Weak funding evidence: mention does not include a parsed raise amount/round and may refer to non-funding context.
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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · Jun 28, 2026, 6:32 PM
What would change this read
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TL;DR
Seed (YC)Valgo Insurance risk layer for physical AI systems.
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
1 product/news‑styled row(s); headline risk without filings (High).
Verified facts
Winter 2026 batch; risk quantification for insuring physical AI (robots, AVs).
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
News · Thu, Jul 2, 04:24 PM · confidence 90%high quality
Wed, May 20, 06:24 PM · confidence 88%high quality
Wed, May 20, 06:24 PM · confidence 85%medium quality
Newest first · 5 event(s)
Source: News
News · Valgo Home · Research · Team · News News & updates The latest from Valgo Research, announcements, and updates from Valgo. Featured · Announcement · June 19, 2026 Human crash baselines for robotaxis and robotrucks A tool to estimate human crash rates fr…
Source: Homepage
Valgo NewHuman crash baselines for robotaxis and robotrucksRead the announcement→ × Home · Research · Team · News Backed by Floodgate·Menlo Ventures·Y Combinator Autonomy is driving today.We model the risk. Valgo is a public benefit corporation buildingthe ri…
Winter 2026 batch; risk quantification for insuring physical AI (robots, AVs).
Launch post on insuring physical AI without claims history.
2 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.
Valgo NewHuman crash baselines for robotaxis and robotrucksRead the announcement→ × Home · Research · Team · News Backed by Floodgate·Menlo Ventures·Y Combinator Autonomy is driving today.We model the risk. Valgo is a public benefit corporation buildingthe ri…
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 ↗Insurance risk layer for physical AI systems.
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.
News · Valgo Home · Research · Team · News News & updates The latest from Valgo Research, announcements, and updates from Valgo. Featured · Announcement · June 19, 2026 Human crash baselines for robotaxis and robotrucks A tool to estimate human crash rates fr…
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Launch post on insuring physical AI without claims history.
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.
Winter 2026 batch; risk quantification for insuring physical AI (robots, AVs).
Why it matters: Funding signal — Pre-Seed per this source; verify against the linked original before relying on it.
Open source ↗Sign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.