Evaluate and monitor properties with AI—better accuracy, fewer site visits
Computer vision and analytics streamline valuations, inspections and due diligence.
Who it’s for
Property managers, investors and asset managers needing accurate valuations and standardized inspections.
What it looks like in the field
- Automated valuations and inspections reduce manual effort; timelines shrink; portfolios standardized.
Capabilities
- Automated property valuation (imagery, market data)
- Vision to verify occupancy and damage
- Lease/document parsing for diligence
- Portfolio analytics and risk scoring
How it works
- Aggregate imagery, market data, tax and leases
- Analyze & value; flag anomalies
- Inspect & verify via computer vision
- Report standardized dashboards
Common integrations
MLS feeds, property‑management systems, appraisal and GIS.
KPIs
Valuation accuracy, inspection turnaround, site visits, diligence cycle time, cost/appraisal.
Security & compliance
On‑prem processing; local appraisal rules respected; full audit logs.
Rollout (3–5 weeks)
Start with one property type; tune models; expand to more classes; integrate vision for inspections.
Recommended Utlyze tier & pricing
Team Assistant
Setup: — —/month
Small portfolios
Workflow Operator
Setup: — —/month
Portfolio managers
FAQs
Are AI valuations accepted by lenders?
Automated valuations serve as first‑pass estimates; human appraisers finalize when required.
Will AI replace property inspectors?
AI reduces site visits by flagging issues; human inspectors verify high‑risk properties.
On‑prem deployment; human‑in‑the‑loop; results vary by asset type and data sources.