Risk Intelligence Division

Your incident data has been telling you something. We decode it.

Most operators are sitting on 12–24 months of incident, inspection, and near-miss data with no analytical framework to extract meaning from it. We transform that data into heatmaps, trend models, and insurer-ready intelligence packages that drive real decisions.

12–24mo
Data Window Analyzed
48hr
Emergency Response SLA
100%
Insurer-Ready Output
6+
Deliverable Formats
01
Data Intake
Incident logs, inspection records, loss runs, near-miss reports
02
Normalization
Structured cleaning, classification, and taxonomy mapping
03
Pattern Analysis
Trend detection, root cause clustering, temporal modeling
04
Heatmapping
Attraction-level and zone-level risk exposure visualization
05
Deliverables
Insurer-ready reports, dashboards, and action roadmaps
// analytics packages

Choose your intelligence level

Every engagement starts with your data. We structure it, analyze it, and give you something you can act on — and defend in front of an underwriter.

Tier 01 — Entry
Incident Data Snapshot
A focused, rapid-turnaround analysis of your recent incident data. Designed for operators who need a clear picture fast — pre-renewal, post-incident, or before a seasonal opening.
  • 90-day incident data review and classification
  • Injury type and frequency breakdown
  • Top 3 risk exposure findings
  • Written summary report (insurer-shareable)
  • One-page executive brief
Timeline
5–7 Business Days
Format
Flat-Rate
Output
PDF Report
Tier 03 — Scale
Multi-Location Portfolio Analysis
Built for regional operators, chains, and corporate risk teams managing multiple properties. Aggregates and cross-references incident data across locations to surface portfolio-level patterns invisible at the individual property level.
  • Cross-location incident normalization and consolidation
  • Portfolio-level risk heatmap and exposure ranking
  • Location-to-location benchmark comparison
  • Highest-exposure properties and attractions identified
  • Shared root cause patterns across the portfolio
  • Corporate risk summary for underwriters and legal
  • Location-specific action plans with priority triage
Timeline
4–6 Weeks
Format
Custom Scope
Output
Full Package
Tier 03 — Specialty
Insurance Renewal Intelligence
Specifically designed for the 90-day window before renewal. Organizes and frames your loss history and safety program data in the format underwriters actually want to see — built to support premium defense and coverage negotiations.
  • Loss run analysis and narrative reframing
  • Year-over-year trend comparison (favorable framing)
  • Safety program documentation audit
  • Corrective action evidence package
  • Risk improvement story for broker/underwriter
  • Underwriter Q&A prep document
  • Premium reduction talking points
Timeline
2–3 Weeks
Format
Flat-Rate
Output
Broker Package
Tier 04 — Ongoing
Continuous Risk Intelligence Retainer
For operators who want risk intelligence as an ongoing function — not a one-time project. Monthly data ingestion, trend monitoring, and reporting delivered as a managed service so your risk picture is always current, always defensible.
Monthly Deliverables
  • Incident trend monitoring & anomaly flagging
  • Updated risk heatmap (attraction & zone level)
  • Near-miss pattern analysis
  • Monthly risk intelligence brief (1–2 pages)
  • Corrective action tracking dashboard
Quarterly & Annual
  • Quarterly cross-location portfolio review
  • Seasonal risk forecast (pre-opening analysis)
  • Annual insurer-ready analytics package
  • Year-over-year performance benchmarking
  • Strategic risk reduction roadmap update
Commitment
Monthly Subscription
Cancellation
30-Day Notice
Best For
Multi-Location Chains
Onboarding
Full Risk Intel Pro Included

What we actually build

Our analytics outputs are built in R, structured for defensibility, and designed to communicate clearly to both operators and underwriters.

HEATMAP
Attraction-Level Risk Heatmaps
Visual risk concentration maps plotted by attraction type, zone, time of day, and incident severity. Immediately shows where exposure is concentrating — and where it's been hiding.
TREND
Temporal Trend Modeling
Time-series analysis of incident frequency and severity across seasons, staffing cycles, and operational changes. Distinguishes signal from noise and surfaces statistically meaningful patterns.
ROOT
Root Cause Clustering
Natural language classification and clustering of incident narratives to identify recurring causal categories — human factors, mechanical, environmental, procedural — across hundreds of records.
PREDICT
Predictive Risk Indicators
Leading indicator modeling that identifies operational and behavioral signals associated with elevated incident likelihood before incidents occur — not after.
BENCH
Cross-Location Benchmarking
For multi-property operators: normalized comparison of incident rates, severity distributions, and documentation quality across locations — with ranking and triage prioritization.
INSURER
Insurer-Ready Packaging
Every deliverable formatted for broker and underwriter review — structured narratives, clean visualizations, and corrective action evidence designed to support premium defense and coverage negotiations.
// who we serve

Built for operators at every scale

Whether you're a single FEC trying to understand your incident history or a 20-property chain that needs portfolio-level visibility, we have an analytics package calibrated to your situation.

01
Single-Location Parks & FECs
Need to understand your data before your next renewal or after an incident. Fast, affordable, actionable.
02
Regional Multi-Location Operators
Managing 2–10 locations and need a unified risk picture across the portfolio — not siloed property reports.
03
Corporate Risk & Safety Teams
Large chains that need ongoing analytics infrastructure, monthly reporting, and continuous risk intelligence.
04
Brokers & Underwriters
Need credible, structured loss history and risk program documentation to support placement and pricing decisions.
Most facilities have the data. Almost none of them have the analytical framework to extract what it's actually telling them.
// what the data typically reveals
60%
of recurring incidents trace to 2–3 root cause categories operators didn't know were connected
higher incident concentration in 20% of attractions — typically identified only after analysis
1 in 4
near-miss reports contain signals that precede a reportable incident within 60 days

Start with your data.
We'll tell you what it means.

Schedule a free 15-minute risk review. We'll identify which analytics package fits your situation and what your data is likely to surface.

Schedule Risk Review View All Services