About Us
The Science of SKAN
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Science in Service of Smarter Living.
Predict. Prevent. Protect.
How AI + Data Science Transform Home Care
Your Home Deserves More Than Guesswork
SKAN uses computer vision, historical mapping, and AI modeling to detect patterns and flag risks—long before they become repairs.
Prevention Powered by Insight
From identifying siding fatigue to catching early signs of wood rot, our system translates data into recommended action steps—customized for your property.
Smarter Care. Backed by Building Science.
Science-Backed
Home Health
Data Meets Durability
Homes age, but how they age is measurable. Every missed repair compounds—leading to structural damage, moisture intrusion, and rising costs.
Prevent > Repair
Studies show that proactive maintenance can reduce major home repair costs by up to 50%. SKAN turns scattered inputs into a unified model of home health.
Key Indicators
Science
& Validation

Backed by Building Science
SKAN’s inspection and analytics framework is rooted in ASHRAE, ASTM, and ICC building performance standards.

Aligned with Industry Research
Our predictive models draw from decades of data on material degradation, moisture intrusion, and structural load performance.

Pilot Program Insights
Early field deployments have validated our approach with measurable accuracy in detecting maintenance risks before costly failures occur.

Cross-Disciplinary Advisory Input
Guidance from experts in civil engineering, computer vision, and property valuation ensures our algorithms are both scientifically sound and commercially relevant.
How We Work?
Frequently
Asked Questions
What is the scientific foundation behind SKAN?
How does SKAN measure “home health”?
What makes SKAN’s approach different from traditional inspections?
How accurate are SKAN’s predictions?
Can SKAN work across different home types and regions?
How does SKAN integrate into ongoing property management?













