About HousingVest
HousingVest LLC was founded by Alba L Hernandez, drawing on more than three decades of leadership in enterprise software delivery — complemented in recent years by direct, hands-on real-estate investment experience in the United States. The platform is the natural integration of both fields, applying artificial intelligence to the discovery, valuation, and underwriting of affordable-housing investments across U.S. Opportunity Zones.
The founder
Alba's career is rooted in software development, enterprise systems implementation, and the leadership of multidisciplinary technology teams across multiple countries. In recent years, that trajectory has been complemented by direct engagement with U.S. real-estate investment — including multi-county Florida construction and acquisition operations. The convergence of both fields, together with the maturity of artificial intelligence as an applied discipline, is what HousingVest exists to express: AI-driven intelligence brought to U.S. real-estate investment in the markets that benefit most from it.
The company
HousingVest provides a multi-tenant research preview for institutional allocators — real-estate funds, family offices, CDFIs, LIHTC syndicators, and municipal housing finance agencies — who underwrite affordable-housing investments in U.S. Opportunity Zones. Every model output ships with an audited bias-audit report aligned with the HUD Disparate-Impact Rule and the Interagency Quality Control Standards for Automated Valuation Models Rule (adopted June 6, 2024; published 89 Fed. Reg. 64538 (Aug. 7, 2024); effective October 1, 2025) — a capability no competing platform currently offers. The platform's valuation model is designed to perform competitively with industry-leading AVMs in low-income census tracts — the precise markets federal policy prioritizes and where HUD has documented appraisal-bias risk under the HUD Fair Housing Act Guidance on the Application of the Fair Housing Act to the Screening of Applicants for Rental Housing (HUD No. 24-098, May 2, 2024). Production-grade performance benchmarks for the platform will be published in a documented Model Card.