Address-driven property intelligence platform for underwriting risk assessment. Enter any US property address and receive satellite imagery, fire protection data, flood zone, crime index, climate risk scores, and public reviews in a single report.
Property Review Dashboard Lead: Jan Piere Mindermann
Full property intelligence report for a submitted address. Left column: satellite view, street view, fire protection detail, public reviews. Right column: property record, crime index, climate risk scores, export actions.
NeitClem Property Review
Address-Driven Property Intelligence
742 Evergreen Terrace, Springfield, IL 62704· Sangamon County · Parcel 14-22-376-008 · Single-Family Residential
"Maintenance is slow to respond and the parking lot lighting is poor. Location is convenient but management could be better."
Google Reviews · 3.2 / 5.0 · 47 reviews
Neighborhood — tenant feedback★★★★☆
"Quiet neighborhood. Good schools nearby. Had one incident last year but overall feels safe during the day."
Yelp · 3.9 / 5.0 · 12 reviews
Property record
OwnerJ. Bouvier
Land useResidential SFR
Year built1978
Sq footage1,840 sq ft
Assessed value$218,400
Last saleAug 2019 · $204K
Parcel APN14-22-376-008
Zone X — Minimal floodFIRM Panel 17167
Crime index
B+
Better than 64% of US cities
Overall
35
Violent
22
Property
48
Theft
41
Per 1,000 residents · CrimeGrade.org
Climate risk scores
Fire risk
5.8
Flood risk
1.8
Wind risk
4.4
Heat stress
6.2
First Street Foundation · 30-yr projection · /10
Figure 1 — NeitClem Property Review Dashboard · Sample report for 742 Evergreen Terrace, Springfield, IL 62704 · NI-2026-PROJ02
Cognitive AI Underwriting Agent
Automated Visual Risk Underwriting · Vision AI Pipeline
AI Agent Standby
Phase 2 Proposed
Automated Visual Risk Underwriting
The Cognitive AI Agent extends the Property Review pipeline by scanning downloaded satellite and perimeter images through a multimodal Vision AI engine. It automatically extracts structural and environmental risk signals, producing a fully-drafted underwriter assessment without manual input — compressing what would take hours of field review into seconds of automated intelligence.
Automated Image Auditing
Base64 → Multimodal Engine
Converts captured asset buffers into base64 streams, passing them directly to a multimodal engine to extract building profiles — including roof materials, structural condition, and construction class — instantly.
Roof: Asphalt shingle · Est. age 12–16 yrs · Fair condition Structure: Wood frame · Single story · ~1,840 sq ft Flag: Minor soffit deterioration noted NW corner
Autonomous Hazard Scanner
Environmental Liability Detection
Analyzes surroundings to detect and explicitly list critical underwriter liability parameters — including overhanging foliage, severe parcel clutter, and nearby structural exposures that traditional data sources miss.
Foliage OverhangParcel ClutterAdjacent Exposures
Flagged Hazards
Heavy tree canopy overhang — east roofline
Debris accumulation visible — rear yard
Adjacent commercial structure — 40ft north
Text Assessment Drafter
Official Risk Brief Generator
Generates an official, well-formatted text brief detailing all identified environmental risk adjustments, designed to populate the header of the final evaluation document automatically.
Auto-draftedStructured OutputPDF-ready
Drafted Assessment Excerpt
"Visual inspection of 742 Evergreen Terrace identifies moderate structural risk. Roof condition is fair with visible soffit wear. Significant foliage overhang on the eastern elevation presents increased fire and moisture liability. Rear yard debris accumulation noted. Recommend interior inspection prior to binding."
AI Processing Pipeline
Address Input
Image Capture
Base64 Encoding
Vision AI Analysis
Hazard Detection
Risk Brief Drafted
Figure 1B — Cognitive AI Underwriting Agent · Phase 2 Proposed Intelligence Layer · Vision AI pipeline not included in Phase 1 scope · NI-2026-PROJ02