The problem
AI-written spear phishing and BEC slip past rule-based email filters and fool employees
What they do
AI agents and in-house models that stop phishing and email attacks before the inbox
Traction 3 paying customers at Sep 2025 seed to dozens by Jul 2026 (Mesh, LangChain); team ~5x+
Hiring trend
- Open roles
- 28
- Ops roles
- 4
- Headcount
- ~30-50
Team ~6 (Sep 2025) to ~30-50 (Oct 2026, est.); 21 of 28 open roles posted since Aug 2026
Hiring in
- San Francisco
- New York
- Remote (US)
Funding
- Last round
- $36M
- Stage
- Series A
- Date
- Jul 2026
Led by Battery Ventures
- Hiring+1.7528 open roles on the live job board (20–29 roles = +1.75)
- Funding recency+1.5Series A · $36M, Jul 2026 (4 months ago): 6 months or less = +1.5
- Traction+1.5Strong growth: 3 paying customers at Sep 2025 seed to dozens by Jul 2026 (Mesh, LangChain); team ~5x+
- Red flags0None found in the last 24 months
- Total4.751.75 + 1.5 + 1.5 − 0 = 4.75 → Sprint (4.75 or more)
Distance (Unproven) is a separate read on how long the lead can last. It doesn't change the score.
Distance
Unproven · edge: learns from use
Barely a year old with dozens of customers; trains its own email models on live traffic, but competes with Abnormal, Proofpoint, Mimecast and AI-native startups like Ocean, and has not published revenue or false-positive data.
Sources: TechCrunch: AegisAI raises $36M Series A, dozens of customers, rivals Abnormal and Ocean (Jul 2026) ↗ · PR Newswire: AegisAI launches Proteus model, false-positive data still to come (Oct 2026) ↗
Last checked Nov 4, 2026