← January 13, 2026 edition

permitify

AI-powered building permit applications

Permitify Wants to Fix the Building Permit Problem That Costs Developers Months and Millions

ConstructionGovTechAIReal Estate

The Macro: The Permitting Problem Is Bigger Than You Think

If you have never tried to get a building permit, you probably do not realize how broken the process is. In most US cities, getting a permit for even a straightforward residential project takes 3 to 12 months. Commercial projects can take years. The process involves navigating municipal zoning codes that are often hundreds of pages long, written in legal language, and updated irregularly. You need to know setback requirements, height limits, parking ratios, environmental overlays, fire codes, and a dozen other constraints that vary by parcel, by jurisdiction, and sometimes by which plan reviewer happens to pick up your application.

The cost of this is staggering. The National Association of Home Builders estimated that regulatory costs, including permitting, account for 24% of the price of a new single-family home. McKinsey found that large construction projects typically take 20% longer and run 80% over budget, with permitting delays being a significant contributor. The housing affordability crisis in the US is partly a permitting crisis, and almost nobody is building software to fix it.

The existing tools in this space are mostly workflow management platforms. OpenGov handles government permitting administration. Accela is the legacy permitting software that many municipalities use internally. CityView does something similar. But these tools are built for the government side of the process, helping cities manage permit applications. Very little exists for the applicant side, the developers, architects, and contractors who actually need to navigate the maze.

That is a meaningful gap. The people submitting permits are mostly working with PDFs, spreadsheets, and phone calls to the planning department. It is one of the last major business workflows that has not been touched by modern software.

The Micro: Parcel-Level Zoning Intelligence for Land Development Teams

Permitify is building an AI-assisted site analysis platform for land development teams. The product provides parcel-level zoning intelligence, pulling together zoning overlays, land use rules, environmental constraints, utility information, and access details into a single view. The goal is to help development teams make confident go or no-go decisions on a project before they invest significant time and money.

Think of it as a pre-permitting intelligence layer. Before you hire an architect, before you draw plans, before you submit anything to the city, you run the site through Permitify and get a clear picture of what you can and cannot build. The AI reads municipal codes and answers practical questions: What is the maximum building height on this parcel? What are the setback requirements? Are there any environmental overlays? What special approvals would be needed?

Adam Chandler and Alexander Densley founded the company in 2025. Adam is CEO and Alexander is CTO. They are part of YC’s Winter 2025 batch and are backed by Google for Startups and Sandbox. The team is two people, based in San Francisco.

The technical challenge is data aggregation. Every jurisdiction in the US has its own zoning code, its own format, its own update schedule. Some cities publish their codes online in searchable databases. Others have PDFs from 2003. Some have GIS systems with parcel-level data. Others require you to call the planning department and ask. Building a product that works across jurisdictions means ingesting and normalizing an enormous amount of heterogeneous municipal data.

Permitify currently supports a “growing set of jurisdictions” with plans for expansion. The quality of the product will be directly proportional to the breadth and accuracy of that municipal data coverage. This is the kind of moat that is painful to build but extremely valuable once built, because every new jurisdiction you add makes the product more useful and harder to replicate.

The competitive set is thin on the applicant side. TestFit does AI-driven site planning for multifamily and industrial projects. Envelope does zoning feasibility analysis in select markets. But neither is doing the full-stack permitting intelligence play that Permitify is attempting. On the government side, OpenGov and Accela are not competing for the same buyer.

The Verdict

I think Permitify is going after one of the most important and most neglected problems in real estate development. The permitting process is a genuine bottleneck that costs the industry billions of dollars and contributes directly to the housing shortage. Any tool that meaningfully accelerates the pre-permitting phase has a clear value proposition and a large addressable market.

The risk is the data problem. Municipal zoning data is messy, inconsistent, and changes without notice. If Permitify tells a developer they can build 50 feet tall on a parcel, and the actual code says 40 feet because of an overlay the AI missed, that mistake is expensive. The accuracy bar in this domain is high because the decisions being made based on the data involve millions of dollars.

Thirty days from now, I want to see how many jurisdictions are in the system and whether the data is accurate enough for developers to trust it without independent verification. Sixty days, the question is whether Permitify is being used for preliminary screening or for actual permit preparation. Those are different products with different price points. Ninety days, I want to know if they have found a repeatable sales motion with development firms, or if every customer requires custom data work. The opportunity is massive. The execution is all about data coverage and accuracy, and there are no shortcuts for either.