Research, analysis, and perspectives on the built world.
Multimodal AI — models that process images, maps, and documents alongside text — extends AI capabilities into the visual layer of real estate development: site plans, surveys, construction photos, and zoning maps. This post covers the highest-value use cases in development workflows today, accuracy considerations for production deployment, and the implementation pattern that works.
April 12, 2026 ·5 min read
Reasoning-capable AI models like OpenAI o3 and Claude with extended thinking are changing complex analytical tasks in real estate development. This post explains what makes reasoning models different from standard LLMs, where they have traction in feasibility analysis and capital stack modeling, and how development teams should deploy them selectively alongside faster models.
April 9, 2026 ·4 min read
GIS has been part of commercial real estate for decades, but AI is changing what sits on top of it. This post covers what geospatial AI can do today, which tools are in production use, where data quality limits the analysis, and why development firms building structured geospatial pipelines are accumulating a compounding advantage.
April 7, 2026 ·4 min read
The services-as-software model is changing how real estate development teams access expertise. Instead of billing by hours, AI-native firms deliver market studies, underwriting models, and due diligence analysis at software speed. This guide explains what changes, what stays human, and what to evaluate before adopting the model.
April 5, 2026 ·4 min read
AI professional services in real estate refers to expert-level analysis and workflow outputs delivered by AI agents rather than human analysts. This guide covers what the category includes, where it adds the most value in development workflows, and what to evaluate when choosing a provider.
April 5, 2026 ·5 min read
A practical three-phase framework for deploying AI in a real estate development workflow. Covers where to start, how to sequence high-volume versus judgment-intensive tasks, and what to measure. Designed for CDOs, VPs of Development, and development directors building an AI-enabled team.
March 31, 2026 ·5 min read
Site selection software for real estate developers spans five layers: GIS platforms, market data, parcel databases, specialized infrastructure data, and AI-native screening tools. This guide covers what each layer does, which platforms lead in each category, and how to evaluate the right stack for your asset class.
March 29, 2026 ·6 min read
A phase-by-phase guide to the software and AI tools institutional real estate development teams are deploying in 2026, from site screening to pipeline management. Covers what to evaluate at each stage and how the best teams structure their technology stack.
March 28, 2026 ·4 min read
The distinction between AI copilots and true agents determines what development teams can actually accomplish. This post breaks down how agentic platforms differ from prompt-response tools, what to evaluate before buying, and which platforms are operating with genuine workflow autonomy in real estate today.
March 27, 2026 ·5 min read