AHAL leverages ML to create Alpha

AHAL leverages machine learning (ML) to monetize acquisition signals in commercial real estate. With over 4,000 units built and $2B+ in asset value, AHAL pursues an opportunistic strategy focused on the U.S. West Coast. As a vertically integrated real estate platform, its team brings over 200 years of combined experience across development, construction, architecture, and CRETech—enabling a competitive edge that is hard to replicate. This edge is strengthened by the platform’s ability to continually learn from market signals, adapt its models, and refine its acquisition thesis—creating a feedback loop that compounds over time.

AHAL has a sharp focus on replacement cost economics and thesis-driven strategies powered by proprietary ML models. To generate alpha, AHAL controls the full lifecycle of the investment—from acquisition, entitlement, and development to construction, financing, and disposition—consistently identifying and capitalizing on off-market and mispriced assets through ADU re-development and CRE re-capitalization strategies. This integrated, tech-driven approach positions AHAL as a new-generation CRETech firm built for speed, precision, and sustained advantage.