Axiom Labs
Sampleaxiomlabs.ai·AI Infrastructure (ML platforms)·25–40 employees·$3M–$8M·US
Quote ID: qt_1dcb6355
Coverage: $250,000 · Retention: $25,000 · Term: 12 months
EXPECTED ANNUAL LOSS (P50)
$155K
62.07% of coverage limit
TAIL LOSS (P99)
$2.02M
806.63% of coverage limit · near limit
POSTURE COMPOSITE
69 / 100
Industry avg: 71
Loss Distribution
ⓘ| Quantile | Annual Loss | vs Coverage |
|---|---|---|
| P10 | $37,775 | 15.11% |
| P25 | $73,769 | 29.51% |
| P50 | $155,172 | 62.07% |
| P75 | $326,403 | 130.56% |
| P90 | $637,420 | 254.97% |
| P99 | $2,016,572 | 806.63% |
| Mean | $284,926 | 113.97% |
| Std Dev | $438,785 | — |
| CV | 1.54 | — |
Risk Drivers · SHAP Attribution
Underwriting Decision
REFERRefer to senior underwriter
P99 tail loss approaches coverage limit (806.6%). 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