FOXYAI
AI-powered property intelligence platform using computer vision to assess condition, quality, and risk from property images.
Overview
FoxyAI is a proptech and insurtech solutions provider that uses computer vision and artificial intelligence to extract property intelligence from images. Founded in 2018 after a founder experienced a significant undervaluation in a real estate appraisal, FoxyAI developed a platform that automatically analyzes property photos to identify damage indicators, condition grades, and quality attributes at scale. The platform helps insurers, mortgage lenders, appraisers, and real estate professionals lower costs, increase efficiencies, and improve decision accuracy.
The company processes property images -- both interior and exterior -- combined with property metadata (address, square footage, bedrooms, lot size) to generate condition scores, quality grades, and risk flags accessible via API. With integration possible in as few as 8 lines of code, FoxyAI enables plug-and-play deployment across diverse real estate and insurance workflows.
FoxyAI has been recognized on the HousingWire Tech 100 list three years running and is backed by Hyperplane Venture Capital and Saint-Gobain NOVA. As of 2026, the company is expanding into agentic AI architectures to handle property assessments, claims intake, and customer interactions with minimal human intervention.
Products & Services
Property Condition Analysis
Computer vision models that inspect property images for damage and risk indicators, including standing water, mold, water stains, boarded windows, structural deficiencies, and other insurable conditions.
Key Features
- Detects 20+ damage and risk condition types from property photos
- Supports both interior and exterior image analysis
- Outputs structured condition flags compatible with underwriting workflows
Target Users: Property & casualty insurers, loss control teams, underwriters
Condition and Quality Scoring
AI-generated property condition and quality scores derived from photos combined with property characteristics and metadata.
Key Features
- Consistent, objective scoring across portfolios
- Integrates image data with property attributes for comprehensive scoring
- Supports single-property and portfolio-level batch processing
Target Users: Appraisal companies, mortgage lenders, asset managers
Valuation Enhancement
Condition and quality-adjusted property value estimates that integrate with existing appraisal and automated valuation model (AVM) workflows.
Key Features
- Reduces over- and under-valuation by incorporating visual condition data
- Designed for plug-and-play integration with AVM and appraisal platforms
- Supports more accurate collateral valuation for mortgage underwriting
Target Users: Mortgage lenders, appraisal companies, government entities
Insurance Risk Assessment
Automated identification of insurable risks from property images for underwriting, loss control, and risk mitigation workflows.
Key Features
- Flags specific risk indicators relevant to property insurance
- Enables pre-bind and renewal inspection workflows at scale
- API-first design for integration into carrier underwriting systems
Target Users: P&C carriers, MGAs, loss control professionals
Batch Image Processing
Scalable API enabling portfolio-level property assessments with plug-and-play integrations.
Key Features
- Processes large volumes of images concurrently
- Integrates with real estate platforms, databases, and workflows
- Kubernetes-based infrastructure for reliable performance at scale
Target Users: Carriers, asset managers, real estate investors, property preservation firms
At a Glance
- Founded
- 2018
- Headquarters
- Huntington, New York, USA
- Employees
- 11-50
- Funding
- Seed
Category & Focus
- Category
- Underwriting & Risk
- Subcategories
- Property risk assessment computer vision automated valuation image analysis
- Insurance Verticals
- P&C Personal P&C Commercial Specialty/E&S
- Target Customers
- Carriers, MGAs/MGUs, TPAs
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Last updated: 2026-05-12