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
AI in real estate, from pilots through to production. Thesis Driven reports on AI in underwriting and diligence, computer vision and reality capture, agentic workflows in leasing and property operations, feasibility and site analysis, data readiness and governance, what the tooling costs to run at scale, and which roles it changes.
A live 2-hour workshop on using AI to source investors, build outreach campaigns, and produce institutional-grade materials
Multifamily residents are using consumer AI and open tools to work around building systems and regain control of how their apartments operate
Move over, LLMs. Computer vision is going to hit real estate even harder.
A weekly series on the AI tools and workflows reshaping real estate capital raising — starting with how to build an investor database in hours, not weeks.
For decades, feasibility analysis has been the bottleneck that kept real estate developers from moving faster. Algoma has built a platform designed to fix that.
Stacks of documents, repetitive workflows, and massive economics make mortgage lending an obvious target for AI, but adoption has been slow.
Meet the 100 people shaping the future of the built world, Part III
A new session on how AI is transforming the mechanics — and economics — of raising real estate capital
For an industry built on spreadsheets and market analysis, asset management may be the next AI target.
Finding land for ground-up development has always been a local, relationship-driven, somewhat chaotic process. Work the network. Drive
Covering the future of real estate and the people creating it