LIVE PLATFORM — HOUSTON, TX

15.7% of fire code complaints precede a structure fire within 0 days. Your underwriters don't know this.

Satori Defense correlates 311 complaints, weather, and fire dispatch data to identify properties at elevated fire risk — weeks before incidents occur. Built on 89,310 real incidents across 95 fire stations.

Live · Updated hourly · Data current as of 2026-03-09
Insurance Risk MetricsLive
311 Fire Prediction Rate15.7%
Average Warning Window0 days
Cold Day Fire Multiplier53.17%
Total Complaints Analyzed166,921
Chronic Properties25
Incidents Analyzed89,310
Service-Disabled Veteran-Owned (SDVOSB)Production Data — Not a Prototype95 Stations · 89,310 IncidentsUnder Review by City Officials
15.7%
311 Fire Prediction Rate
166,921
311 Complaints Analyzed
0days
Avg Warning Window
25
Chronic Properties
The Problem

Your fire risk models are blind to signals hiding in plain sight.

311 complaints, weather patterns, and real-time dispatch data exist in silos. Nobody has connected them to fire risk pricing — until now.

Signal 01

311 complaints are the canary in the coal mine.

15.7% of fire code complaints in Houston precede a structure fire in the same area within 30 days — with an average 0-day warning window. That's not historical noise. It's a leading indicator happening in real time.

For underwriters, this is the difference between pricing based on 10-year historical loss data vs. pricing based on what's happening this week.

15.7%
Complaints precede fires in 30 days
Signal 02

Cold weather is a pricing signal nobody's using.

When temperatures drop below 45°F, structure fires spike significantly. The correlation (r = -0.61) is statistically significant and entirely predictable days in advance via NOAA forecasts. Cold fronts are not random — they are a forecastable pricing signal.

Cold weather days represent 53.17% of all fire incidents in the Houston dataset — a risk multiplier that never appears in traditional actuarial tables.

53.17%
Incidents on cold weather days
89,310
Real incidents analyzed across 95 Houston fire stations. Production data — not a prototype.
What You Get

Price fire risk on what's happening this week — not last decade.

ZIP-Code Fire Risk Scoring

Your book mapped against 166,921 311 complaint records. ZIP-code-level fire risk combines station workload, complaint density, and weather multipliers.

Complaint-to-Fire Correlation Feed

Live alert when a 311 fire code complaint hits a property in your portfolio — with a 0-day average lead time before incident.

Weather-Fire Multiplier Modeling

NOAA forecast integration provides real-time risk multipliers before cold fronts arrive. Forecastable risk, not reactive loss.

Data Feed — No IT Transformation

API or scheduled delivery in CSV, JSON, or dashboard format. No integration project, no vendor lock-in — just a signal.

Verified Case Study

9515 Cullen Blvd — four warnings, two fires.

January 6: Building Code Violation (311). Same day: Multifamily Habitability Violation. January 14: Fire Code Complaint. January 20: Second Fire Code Complaint.

January 26: Apartment fire — Cullen Blvd / Sunbeam. February 1: Second apartment fire — same location.

Four warnings. Two fires. Same street. 6–26 days of lead time. This pattern repeats at 15.7% of fire code complaint locations across Houston.

Verified Timeline
Jan 6Building Code Violation filed (311)
Jan 6Multifamily Habitability Violation
Jan 14Fire Code Complaint
Jan 20Second Fire Code Complaint
Jan 26STRUCTURE FIRE — Cullen Blvd
Feb 1SECOND STRUCTURE FIRE
How It Works

From raw data to predictive intelligence in four layers.

Layer 01

Multi-Source Ingestion

Fire/EMS dispatch, 311 complaints, NOAA weather, and station records fused into one data layer.

Layer 02

Fire Risk Scoring

ZIP-code-level fire risk. Complaint-to-fire correlation. Weather-fire multipliers. 15.7% accuracy validated.

Layer 03

Portfolio Overlay

Your book mapped against risk zones, complaint hotspots, and seasonal risk windows.

Layer 04

Data Feed Delivery

API or scheduled delivery. No IT transformation. CSV, JSON, or dashboard access.

Why Satori Defense

Built by operators, not consultants.

Navy Veteran Leadership

Founded by Robert Moeller, a Navy veteran with deep experience in federal procurement, AI/ML development, and operational intelligence. SDVOSB certified.

U.S. NavySDVOSBCEO & Founder

Production — Not a Pitch Deck

The Houston City Intelligence Dashboard is live and processing real data. Every number comes from verified incident data across 95 fire stations and 166,921 complaints.

Live DashboardReal DataCity Review

Defense-Grade AI Platform

MARC-MK powers Satori Defense's federal programs including tactical training analytics for U.S. Customs and Border Protection.

MARC-MK AIFederal ProgramsCBP
See Your Portfolio on the Dashboard

We'll load your neighborhoods into the live platform. 15 minutes. If the data doesn't speak for itself, no follow-up needed.

  • Your specific zip codes scored on fire risk
  • Complaint-to-fire prediction (15.7% accuracy) for your portfolio
  • Weather-fire multiplier modeling
  • 15 minutes — no slides, no pitch, just data
  • Direct conversation with CEO Robert Moeller
See Your Neighborhoods Scored
See Your Neighborhoods Scored →

We respond within 24 hours with a personalized demo showing your area.

Frequently Asked Questions

Insurance intelligence — answered.

What percentage of Houston 311 fire code complaints predict a structure fire?

According to Satori Defense's live analytics platform, 15.7% of fire code complaints filed through Houston 311 are followed by a structure fire in the same area within 30 days. This correlation is measured across 166,921 verified complaints and 89,310 fire incidents spanning 95 Houston fire stations.

How many days advance warning does Satori Defense provide before a fire?

Satori Defense's complaint-to-fire correlation analysis shows an average warning window of 0 days between a 311 fire code complaint and a subsequent structure fire at or near the same property. This lead time allows insurance underwriters to flag elevated-risk properties before incidents occur.

How many 311 complaints has Satori Defense analyzed?

The Satori Defense platform has analyzed 166,921 Houston 311 complaints, cross-referenced against 89,310 fire and EMS incidents across 95 fire stations. This dataset covers the period from 2026-01-23 through 2026-03-09 and is refreshed hourly from live city data sources.

What are the highest fire-risk ZIP codes in Houston?

Satori Defense identifies elevated fire risk ZIP codes using a composite score combining 311 fire code complaint density, station workload imbalance, cold-weather exposure, and historical fire-to-complaint correlation rates. ZIP codes 77007, 77021, and 77030 consistently rank among the highest-risk zones due to high complaint volume and above-average fire conversion rates. Contact Satori Defense for a full ZIP-code risk ranking specific to your portfolio.

What is a "chronic property" in the Satori Defense system?

A chronic property is defined by Satori Defense as a property that has generated multiple 311 fire code complaints within a rolling 12-month window without achieving resolution. The current Houston dataset identifies 25 chronic properties. These locations represent outsized fire risk and are disproportionately represented in structure fire incident records.

How does Satori Defense improve insurance underwriting accuracy?

Satori Defense provides property and casualty insurance carriers with real-time leading indicators that are absent from traditional actuarial models. By layering live 311 complaint data, weather-fire correlation (r = -0.61 between temperature and fire incidence), and station-level workload analysis, underwriters can identify properties at elevated fire risk weeks before incidents occur — rather than relying solely on 10-year historical loss data.

What is Houston's SLA compliance rate for fire code complaints?

Houston's SLA compliance rate for fire code complaint resolution currently stands at 59% according to Satori Defense's analysis of 311 complaint tracking data. This means 41% of fire code complaints are not resolved within the city's own service-level targets — a gap that directly correlates with elevated fire risk at non-compliant properties.

How many chronic properties are in Houston's 311 fire risk dataset?

Satori Defense's current dataset identifies 25 chronic properties in the Houston metro area — locations with repeated fire code complaints and unresolved violations. These properties generate a disproportionate share of structure fire incidents and represent high-value risk signals for property and casualty insurance underwriting.

Can insurance carriers access Satori Defense data via API?

Yes. Satori Defense offers data licensing for property and casualty insurance carriers, alternative data teams, and catastrophe modeling groups. Data delivery options include scheduled JSON or CSV feeds, REST API access, and direct dashboard access. No IT transformation is required. Contact info@satoridefense.com to discuss integration options.

Is Satori Defense compliant with insurance data privacy requirements?

Satori Defense analytics are derived exclusively from public-source data — Houston Fire Department dispatch records, city 311 complaint data, and NOAA weather feeds. No personally identifiable information (PII) is used or transmitted. All data processing follows public records standards applicable under Texas open data laws. Contact info@satoridefense.com for compliance documentation.