InspectAI

Property inspection remains a critical bottleneck across real estate, insurance, and asset management. Traditional assessments rely on manual site visits, subjective human evaluations, and fragmented pricing structures. This process is inherently slow, inconsistent, and expensive, frequently resulting in delayed maintenance, disputed insurance claims, and mispriced property valuations. InspectAI transforms this lifecycle by turning a standard video walkthrough into an institutional-grade property report. Built using Google Gemini through Google AI Studio, the platform leverages advanced multimodal AI understanding to execute localized physical assessments instantly. Users simply upload a video, and the system automatically maps the property layout, flags structural and aesthetic anomalies, and correlates findings against custom cost parameters. The underlying architecture operates via a collaborative, agent-driven workflow designed for maximum precision. The Video Analysis Agent utilizes Gemini’s multimodal core to parse video frames, identify room contexts, and isolate material defects or maintenance risks. The Cost Estimation Agent then evaluates the severity of these detected anomalies to calculate accurate, localized repair costs based on predefined pricing rules. Finally, the Utility/Reporting Agent compiles these findings into a structured, interactive timeline and exports a comprehensive inspection report. This agentic framework provides immediate commercial value for property managers scaling operations, insurance adjusters accelerating claim processing, and construction firms vetting assets. By automating a historically manual and subjective workflow, InspectAI eliminates human bias, compresses operational turnaround times from days to seconds, and establishes a scalable framework for global property intelligence.