In Production · Live Enterprise DeploymentProxyView — Authentication for the Physical World, in production
As Chief AI Infrastructure Officer at Luca Inc., Delaware, USA (operating as ProxyView), I lead design and development of the Company's AI and machine-learning infrastructure — including the ORA (Operational Reality Authentication) Framework, which determines whether a submitted evidence bundle (photo and sensor capture, location, and timestamp) coherently represents a claimed physical event at a claimed place and time. The model is weighed against a global geospatial and environmental reference corpus — elevation, flood zones, structures, housing, and weather data — to produce a calibrated confidence score, delivered as a sealed, tamper-evident record via API and webhooks directly into claims adjudication, loan-origination, and collateral-monitoring workflows for insurance, commercial lending, and construction-finance clients.
Physical-World Evidence AuthenticationFraud & Claims RiskInsurance · Lending · Construction FinanceGeospatial Reference CorpusREST API & Webhooks
ProxyView's platform and ORA Framework are proprietary to Luca Inc., Delaware, USA, and its codebase lives in a private repository — it isn't open source, so there's no public code link here.
