Risk intelligence,
called like an API.
Gerty is a pay-per-call reasoning layer over a risk & resilience data domain — safety compliance, security, emergency management, weather, and conflict signals — built for AI agents and software to query, not humans to log into.
The Problem
Risk intelligence was built for people. It needs to work for systems.
Not a dashboard
Risk data has been sold as a portal a human checks. That doesn't work when the thing that needs to know is an agent, a workflow, or another piece of software making a decision in real time.
Not one domain
Safety compliance, physical security, emergency management, weather disruption, and conflict/war risk are handled by different vendors today. A system trying to reason about organizational risk has to integrate all of them separately.
Not a subscription
Fixed monthly seats don't fit a caller that might query once or a million times. Usage should track cost directly — call it when you need it, pay for what you call.
The Product
One call. Every domain that matters to organizational risk.
- SAFETY
Safety & Compliance
OSHA / DOL — incident, inspection, and citation data
- SECURITY
Security
Physical and site-level security signal
- EMERGENCY
Emergency Mgmt
Response protocols, active-incident status
- WEATHER
Weather & Disaster
Severe weather and disaster exposure
- CONFLICT
Conflict / War-Risk
Geopolitical and conflict-zone exposure
POST /v1/query
{
"domain": ["safety", "weather"],
"location": "29.583, -95.286",
"radius_km": 50
}
→ 200 OK
{
"risk_score": 62,
"signals": [
{ "domain": "weather", "type": "severe_storm_watch", "severity": "moderate" },
{ "domain": "safety", "type": "osha_citation_density", "severity": "elevated" }
]
}Pricing
Priced per call, not per seat.
No monthly minimums, no per-employee licensing. A card on file, billed for what's actually queried — volume pricing kicks in automatically as call volume grows. Exact rates are set during early access onboarding.
Building something that needs to know the risk before it acts?
Request API Access