Science Behind Every Wind or Hail Inspection
HAILLISTICS™
Science Behind Every Wind or Hail Inspection
One roof. Two inspectors. Two different calls.
The roofer says hail. The adjuster says no hail.
StormLense™ gives you the only answer that matters - backed by science.
3 provisional patents · 2 trademarks registered · NOAA-correlated methodology · MVP in active development
Subjectivity is costing the industry billions
When hail or wind damage exist on the roof, inspectors reach different conclusions. Claims escalate into disputes, appraisals, and litigation. Current tools detect that damage exists — they do not objectively determine how it occurred.
Billions
Annual Loss Leakage
Industry estimates attribute billions in annual losses to subjectivity in roof damage causation assessment across U.S. property carriers.
Zero
Causation Standards
No industry-wide quantitative framework differentiates hail from wind damage. Adjusters make subjective calls without scientific baseline.
Systemic
Dispute Escalation
Inconsistent findings fuel re-inspections, appraisals, and litigation — driving loss adjustment expenses and eroding trust across the claims chain.
The Methodology
Three layers. One causation score.
StormLense™ integrates dedicated hardware, geometric modeling, and environmental validation into a structured inspection workflow aligned with industry-standard test square methodology.
Forensic Capture
Purpose-built handheld hardware captures calibrated test square imagery with GPS, compass, IMU, laser range validation, and hardware-authenticated timestamping.
Eccentricity Analysis
Each damage instance is segmented and modeled via best-fit ellipse calculations — evaluating eccentricity ratios, radial fracture symmetry, linear elongation, and contextual clustering to produce a probabilistic causation score.
Environmental Correlation
Inspection coordinates are automatically cross-referenced with NOAA Storm Events data — evaluating proximity, temporal alignment, event magnitude, and storm descriptors to validate meteorological conditions.
The Science + Scope
Hail strikes produce roughly circular impact patterns with low eccentricity values (ε ≈ 0). Wind-driven damage creates elongated, directional impressions with eccentricity approaching 1.
StormLense™ measures this difference with explainable, court-defensible metrics — replacing "in my professional opinion" with quantifiable evidence.
Current scope: Composition asphalt & Class IV impact-resistant shingles
StormLense™ vs. current methods
Existing tools detect damage. StormLense™ determines causation — the only metric that matters for accurate claims decisions.
Capability
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Causation Analysis
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Weather Correlation
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Court Defensibility
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Hardware
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Metadata Integrity
Current Methods
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✕ Not available
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✕ Manual / none
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✕ Subjective opinion
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✕ Phone / drone
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Varies
StormLense™
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✓ Eccentricity scoring
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✓ Automated NOAA
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✓ Probabilistic scoring
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✓ Purpose-built device
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✓ Tamper-resistant
Hybrid edge-cloud. API-ready.
StormLense™ operates on a hybrid framework — on-device inference for real-time field analysis, cloud aggregation for multi-image review, and exception-based supervision for quality control.
Built on a ladder.
Not in a lab
Founder & CEO
Alexis Soriano
Licensed Texas insurance adjuster. Previously founded and operated an auto glass company in North Texas servicing storm damage claims — direct, firsthand exposure to the causation gap that StormLense™ was designed to close. This problem didn't come from a market study. It came from the field.
TX Licensed Adjuster | Storm Damage Field Experience | Delaware C-Corp | Corinth, TX
Protected by patents. Built on proprietary data.
Our hardware-to-cloud data integrity pipeline is protected by a portfolio of active filings covering geometric eccentricity algorithms, hardware-integrated environmental sensing, and exception-based supervision architecture.
Hardware-Integrated Inspection System
Original filing (December 2025). Covers the dedicated handheld device with geometric eccentricity analysis for roof damage causation determination.
Hybrid Edge-Cloud Architecture
Supplemental bridge filing (February 2026). Covers probabilistic causation scoring with exception-based supervision workflows.
Environmental Correlation System
Supplemental bridge filing (February 2026). Covers automated NOAA weather data validation integrated with hardware-authenticated inspection metadata.
StormLense™
Trademark application filed. Protects the product name for the handheld causation intelligence device.
HAILLISTICS™
Mark established. Protects the corporate brand identity at the federal level.
Proprietary Datasets
Training data sourced from manufacturer galleries, distributor archives, and contractor documentation — currently in development for court-admissible AI model defensibility.
Pre-Seed. Strategic pilot phase.
Proof precedes scale. Enterprise pilots are structured to measure inter-rater variance, dispute frequency, supplement variability, and workflow efficiency.
IP Portfolio Filed
Three provisional patent applications covering the full capture-to-causation pipeline.
MVP Development
Hardware and software vendors under evaluation for dedicated StormLense™ device build.
Dataset Partnerships
In discussion with national field-force operators for training data and pilot deployment.
Cloud Acceleration
Cloud acceleration programs in progress.
StormLense™
Stop managing interpretation. Start managing measurement.
StormLense™ is engaging select regional carriers and national field-force partners for 2026 enterprise pilot programs. If you're a carrier, field services firm, or innovation fund — let's start a conversation.
Select carrier pilots and strategic partnerships now forming for 2026.
HAILLISTICS™ INC. Delaware C-Corporation · Corinth, TX StormLense™ Patent Pending
