Announcing our $7.4m seed fundraising
$7.4M seed led by a16z with WndrCo and angels; AI operating system for security teams.
Loading startup
Market data is refreshed once per day from public sources. Information may be incomplete or outdated — verify independently before making decisions. This is not investment advice.
Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:11 PM
What would change this read
DealFlow OS uses public web data and automated enrichment. Research may be incomplete, outdated, or incorrect. Verify important information before making investment or outreach decisions.
TL;DR
SeedCotool AI agents for security operations teams.
Raised $14.8M across 1 funding round. Latest: $7.4M Seed (Mar 2026). Investors: Andreessen Horowitz, WndrCo, Y Combinator. (High).
Funding
Raised $14.8M across 1 funding round. Latest: $7.4M Seed (Mar 2026). Investors: Andreessen Horowitz, WndrCo, Y Combinator. (High).
Product / news
9 product/news‑styled row(s); headline risk without filings (High).
Verified facts
$7.4M seed led by a16z with WndrCo and angels; AI operating system for security teams.
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
About page · Thu, Jul 2, 03:27 PM · confidence 90%high quality
Wed, May 20, 06:11 PM · confidence 88%high quality
Wed, May 20, 06:11 PM · confidence 85%high quality
Newest first · 15 event(s)
Source: Blog
Scale detection, response, and threat hunting beyond headcount. Build AI agents across your entire security stack. Improve coverage, cut MTTR, and eliminate manual & repetitive security work.
Source: About page
Scale detection, response, and threat hunting beyond headcount. Build AI agents across your entire security stack. Improve coverage, cut MTTR, and eliminate manual & repetitive security work.
$7.4M seed led by a16z with WndrCo and angels; AI operating system for security teams.
Axios Pro coverage of agentic security seed round.
Source: Blog / news
Why would anyone want to start an AI security company?
Source: Blog / news
We benchmarked frontier AI models on realistic security operations (SecOps) tasks using Cotool’s agent harness and the Splunk BOTSv3 dataset. GPT-5 achieved the highest accuracy (63%), while Claude Haiku-4.5 completed tasks the fastest with strong accuracy. G…
Source: Blog / news
Which frontier model should you use for SecOps automation? We added the latest cohort of frontier models to our benchmark to find out.
Source: Blog / news
How we are solving the LLM Security Data problem
Source: Blog / news
How EliseAI uses Cotool to automate investigations, expand detection coverage, and defend customer data across housing and healthcare
Source: Blog / news
We benchmarked frontier models on a real macOS infostealer intrusion. This is not a CTF, which tend to test narrow, artificial scenarios. Tasks spanned incident response, threat hunting, and detection engineering.
Source: Blog / news
What does security look like in a world where intelligence is everywhere?
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.
AI agents for security operations teams.
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 ↗4 row(s)
Third-party press coverage. Independent reporting corroborates company claims; repeated coverage across outlets is a momentum signal.
Scale detection, response, and threat hunting beyond headcount. Build AI agents across your entire security stack. Improve coverage, cut MTTR, and eliminate manual & repetitive security work.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Axios Pro coverage of agentic security seed round.
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 ↗1 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
$7.4M seed led by a16z with WndrCo and angels; AI operating system for security teams.
Why it matters: Funding signal — Seed per this source; verify against the linked original before relying on it.
Open source ↗1 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
coto provide some useful tool for web server
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗8 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
Scale detection, response, and threat hunting beyond headcount. Build AI agents across your entire security stack. Improve coverage, cut MTTR, and eliminate manual & repetitive security work.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Why would anyone want to start an AI security company?
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We benchmarked frontier AI models on realistic security operations (SecOps) tasks using Cotool’s agent harness and the Splunk BOTSv3 dataset. GPT-5 achieved the highest accuracy (63%), while Claude Haiku-4.5 completed tasks the fastest with strong accuracy. G…
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Which frontier model should you use for SecOps automation? We added the latest cohort of frontier models to our benchmark to find out.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How we are solving the LLM Security Data problem
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How EliseAI uses Cotool to automate investigations, expand detection coverage, and defend customer data across housing and healthcare
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We benchmarked frontier models on a real macOS infostealer intrusion. This is not a CTF, which tend to test narrow, artificial scenarios. Tasks spanned incident response, threat hunting, and detection engineering.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗What does security look like in a world where intelligence is everywhere?
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.