AI for Real Estate Acquisitions
We've been building AI acquisitions agents with real estate GPs. On August 13, we're opening the hood in a live 2-hour workshop
Real estate data and analytics, from parcel and location data to operational reporting. Thesis Driven tracks data providers and the CRE data value chain, location and foot traffic data, feasibility and permit data as leading indicators, unified data warehouses and the readiness AI tooling depends on, forward-looking metrics beyond vacancy and opex ratio, and analytics as a source of edge.
We've been building AI acquisitions agents with real estate GPs. On August 13, we're opening the hood in a live 2-hour workshop
Predicting six new real estate marketplaces to rise over the next decade
A quarterly read on early-stage feasibility activity with our friends at TestFit
A rebuilt website, live Signals tracking 10,000 firm-related articles daily, full API access, and direct integrations with HubSpot, Slack, and Attio
A data-driven approach to unit mix, layouts, amenities, and marketing helped one Gowanus Wharf project lease faster and at higher rents in a crowded market
PMS platforms are becoming more open but most multifamily operators still lack a unified data layer across their systems
Real-time intelligence for vendors and capital, built around tracking how the real estate industry actually moves.
What marketing and leasing audits reveal about multifamily's hidden performance problem
Covering the future of real estate and the people creating it