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Permitify

AI pre-submittal plan review that flags likely city comments before you submit for permit

AI co-pilot that reviews an uploaded architectural/engineering plan set against applicable city ordinances, engineering and construction standards, owner requirements, master development agreements (MDAs), and prior review comments, returning a priority-ranked report of likely city comments, missing items, and code conflicts with citations to specific codes and sheet references. Y Combinator (W25)-backed; operates two customer-facing products -- a $297 flat-fee pre-submittal review for architects/engineers/developers, and a 24-hour turnaround review aimed at builders.

$500K pre-seed (Y Combinator, disclosed Jan 2025) per Crunchbase (direct Crunchbase page fetch returned 403; figure taken from search-indexed summary, not independently confirmed via a press release) raisedEarly Stage
Founded 2025 (per Y Combinator company profile, W25 batch); one funding-data aggregator search snippet states 2024 -- discrepancy not reconciled by a primary source · 2 employees per Y Combinator profile. The company's own /builders page claims "1,000+ permits" processed and "20% on time to permit" savings (self-reported, methodology not disclosed). A third-party aggregator search snippet claims "1000+ clients," but this figure is unverified, has no named source page, and is inconsistent with the 2-employee team size -- treated skeptically and not relied on. No named customer logos or case studies found on official sources.
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Why This Tool Exists

The Problem

Architects, engineers, developers, and builders submitting plans for city permit review face requirements scattered across city ordinances, engineering/construction standards, owner requirements, master development agreements (MDAs), and prior review comments. A single missed or overlooked item discovered during formal city review can cost weeks of delay and rework, and city building departments are commonly understaffed, lengthening review queues further.

The Solution

Permitify's AI ingests an uploaded plan set and site data, cross-references it against the applicable ordinances, standards, MDAs, and prior comments, and returns a priority-ranked report flagging likely city comments, missing items, and conflicts -- each cited to a specific code section and sheet reference -- within 1-3 hours (design-team product) or 24 hours (builder product), before the plans are formally submitted to the city.

How You Use It

Delivery Method
SaaS (Web Application)Email submission intake ([email protected]) for the builder product
Project Phases
Design Development, Construction Documentation, Plan Review/Permitting
Project Types
Commercial, Residential, Mixed-Use, Industrial, Institutional

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Architectural/engineering plan set (PDF)
Optional:Site data, Project type, Project location, Prior city review comments
Formats:PDF
Output
What you get
Format:Priority-ranked compliance report delivered via web app / shareable link
Fields:Likely city comments, Missing items, Code and ordinance conflicts, Citations to specific code sections and sheet references
Algorithm
How it works
Model:Proprietary AI; privacy policy states processing occurs via Google Cloud Platform (Vertex AI) among unnamed third-party AI vendors. Underlying foundation model(s) not publicly disclosed.
Accuracy:Vendor claims review cycles are cut by 80% (methodology not published, not independently audited). No accuracy/precision figures for comment-detection found on public sources.
Privacy
How your data is protected
Retention:Tiered per the privacy policy: account/profile data kept for active status plus 24 months; project content for active subscription plus 6 months (then deleted or archived); analytics/logs 12-18 months (security logs up to 24 months); support records 24 months post-closure; billing records retained as legally required, typically ~7 years. Users may request earlier deletion where legally permissible.
Training:Unreconciled discrepancy between policies: the Privacy Policy states "We do not use customer plans, project context, or deliverables to train AI models" and that third-party AI vendors (e.g. Google Cloud Vertex AI) are configured so customer prompts/outputs are not used for their model training. The Terms of Service separately grants Permitify a license to use uploaded content to "improve features and models" and "train internal AI systems." The two documents were not reconciled by any source found.
Compliance:No SOC 2, ISO 27001, or other third-party security certification publicly disclosed as of research date, Privacy policy references only "commercially reasonable technical and organizational measures" (encryption, access controls, incident response procedures) -- no certification body or audit named
API
Integration
Endpoint:Not publicly documented -- no self-serve API or API documentation found
Method:Not applicable

Use Cases

  • ·Pre-submittal review of architectural/engineering plan sets against city ordinances before formal permit submission
  • ·Checking plans against master development agreements (MDAs) and owner requirements
  • ·Catching missing items and code conflicts before they surface as formal city review comments
  • ·Builder-focused plan review with 24-hour turnaround ahead of permit application
  • ·Re-review of updated plan sets after addressing prior review comments

Pricing

Free
No self-serve free tier. A free re-review of updated plans was offered as a limited-time launch promotion (through June 30 of an unspecified year); not confirmed as a standing offer.
Pro
$297 flat fee per review, no subscription/login/contract required (architect, engineer, and developer product)
Enterprise
Builder product (24-hour turnaround) has no published price; submission is via online form or email intake -- pricing not publicly listed for this tier
Sources & Research NotesResearch date: 2026-07-17
Fields Checked (7)
problem, solution, deliveryMethod, pricing (design-team $297 flat-fee tier), privacy (retention schedule and location, per policy text), yearFounded (Y Combinator profile), output format and turnaround times
Not Found (7)
exact total funding amount confirmed via primary source (press release), API documentation / integrations, SOC 2, ISO 27001, or other compliance certifications, underlying LLM/foundation model vendor, independently audited accuracy figures, verified customer count (self-reported and third-party figures conflict), builder-tier pricing
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.