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AI-native workspace for development plan reviews
At AutoSitu, we’re building coordinated AI agents that live inside cities’ cross-department development review workflows—doing the heavy lifting, escalating judgment calls, and letting staff focus where human expertise actually matters. AutoSitu provides expert-level guidance and catch issues in minutes, helping cities and design firms/developers navigate an increasingly complex and fragmented regulatory environment. We serve as a strategic partner to forward-thinking public agencies and design teams across the country and are backed by Y Combinator (W26).
AutoSitu offers an AI-native workspace that automates development plan reviews, enabling faster, more accurate zoning, code, and permit checks for cities and developers. It markets substantial time savings and damage reduction through automated analysis backed by human-in-the-loop review.
The platform processes real estate development plans to perform automated site plan reviews, zoning compliance checks, building code verifications, and permit approvals. It features domain-tuned AI understanding of complex diagrams, a living rule engine for local codes, multi-agent coordination that triages issues, and human-in-the-loop validation where findings are evidence-backed and overridable. It supports an AI-native workspace with specialized agents handling zoning, codes, and compliance checks and provides instant analysis with calendar-like workflows for municipal and developer use.
Who it’s for: Cities (municipal planning departments) and real estate developers/architects involved in development approvals
Backed by Y Combinator; claims hundreds of plans reviewed and 90% faster reviews, indicating notable traction and funding-level signals
A Georgia Tech graduate, he has worked on autonomous cars, boats, and robotic systems, consistently pushing the boundaries of autonomy. George is known for rapidly engineering novel, highly cost-effective solutions—bridging advanced AI with real-world applications from self-driving vehicles to scalable automation.
Lin combines a background in Urban Planning and Architecture from the University of Michigan, bringing policy insight and design expertise to AutoSitu. He leads product strategy focused on zoning and site plan compliance, with hands-on experience across projects in Champaign–Urbana and Detroit’s Joe Louis Greenway. An APA Planning and Design Competition Honorable Mention recipient, Lin works to make compliance faster, clearer, and more accountable.
Pre-validates submissions against jurisdiction requirements and patterns so teams submit cleaner sets and cities review faster
AutoSitu builds an AI-powered development plan review engine that flags issues likely to be raised by city reviews before submission, aiming to reduce comments and resubmittals for architecture and development teams and shorten permit timelines.
Formerly “MirageDoodle, Inc” · why startups rename →
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