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    Increasing the GDP of the world by making development approvals faster, clearer, and more consistent.

    Development approvals shape how quickly housing, infrastructure, and communities get built. AutoSitu is building the AI-native review layer for the built world.

    What we do

    AutoSitu is an AI-native development plan review platform. We help cities, architects, developers, and construction teams review site and building plans in minutes, catching compliance, constructability, and QA/QC issues before they become comments, RFIs, reworks, or months of delay.

    Why we exist

    Development approvals are one of the biggest hidden bottlenecks in housing and infrastructure. Plans, codes, precedent, staff judgment, and project economics all collide in the review process — but most of that work is still manual, fragmented, and reactive.

    We believe approvals should be faster, clearer, and more consistent — without removing human expertise from the process.

    Our approach

    AutoSitu combines plan intelligence, local code and precedent research, and coordinated AI agents to produce review-ready findings grounded in drawings, regulations, and project context.

    Our system is designed to help teams understand not just whether a plan may have an issue, but where it appears, why it matters, what rule or precedent supports it, and how to resolve it.

    Founding team

    Builders at the intersection of AI and the built world.

    Xuanshu Asher Lin

    Xuanshu “Asher” Lin

    Co-founder

    Asher brings deep experience in urban planning, architecture, and development review. Trained across planning and design, including work connected to zoning, site planning, and public-sector review processes, he has seen firsthand how regulatory complexity slows down housing and infrastructure delivery. At AutoSitu, he leads the company's planning, code, and built-environment intelligence.

    George Zhai

    George Zhai

    Co-founder

    George leads AutoSitu's product, AI systems, and company strategy. Before AutoSitu, he worked across robotics, autonomy, and applied AI, building systems that interpret complex real-world environments and turn messy data into reliable decisions. At AutoSitu, he brings that same automation mindset to one of the built world's most manual workflows: development plan review.