Axiom Labs
Sampleaxiomlabs.ai·AI Infrastructure (ML platforms)·25–40 employees·$3M–$8M·US
Quote ID: qt_a4a417b5
Coverage: $250,000 · Retention: $25,000 · Term: 12 months
EXPECTED ANNUAL LOSS (P50)
$172K
68.98% of coverage limit
TAIL LOSS (P99)
$2.31M
922.45% of coverage limit · near limit
POSTURE COMPOSITE
69 / 100
Industry avg: 71
Loss Distribution
ⓘ| Quantile | Annual Loss | vs Coverage |
|---|---|---|
| P10 | $41,322 | 16.53% |
| P25 | $81,301 | 32.52% |
| P50 | $172,443 | 68.98% |
| P75 | $365,757 | 146.30% |
| P90 | $719,632 | 287.85% |
| P99 | $2,306,131 | 922.45% |
| Mean | $320,990 | 128.40% |
| Std Dev | $503,954 | — |
| CV | 1.57 | — |
Risk Drivers · SHAP Attribution
Underwriting Decision
REFERRefer to senior underwriter
P99 tail loss approaches coverage limit (922.5%). Frequency-severity profile suggests refer to senior underwriter.
Suggested actions
Reduce limit to 0M
Brings P99 ratio to ~50%
Expected loss ratio: 14.2%
Add $100K retention floor
Reduces P50 by 18%
Customer responsibility: $100K
Require critical-CVE remediation
Eliminates 12-18% expected loss
Monthly automated rescans
Outside-In Posture
74
TLS ConfigurationA+
Security HeadersA
DNS HygieneA
Certificate HealthA-
Attack Surface
62
Exposed Services5⚠ above industry avg
Known CVEs31 critical
Subdomain Sprawl34minimal
Shadow IT2flagged services
Exposure History
70
HIBP Records0clean
Last Incident—no incidents
Credential Exposures14emails leaked
Industry Frequency0.84/yrslightly elevated
Tech Stack
ⓘAWSPyTorchKubernetesRayPostgres