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AutoSitu

AI-native workspace for municipal development reviews

AI agents platform that automates site plan review, zoning compliance, building code checks, and permit approvals for municipalities and developers. Reduces review cycles by up to 90% through parallel analysis of plans against local regulations.

Y Combinator W26 (funding amount not publicly disclosed) raised 🚀 Early Stage
Founded 2025 • 11 municipalities including San José, Seattle, Long Beach, Boston, Coral Gables
Website → ← All Tools

Why This Tool Exists

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The Problem

Municipal development review processes are slow and labor-intensive, with planning departments manually analyzing site plans, checking zoning compliance, and verifying building codes across multiple departments, taking weeks to complete reviews. Cities struggle with inconsistent review standards and developers face unpredictable approval timelines.

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The Solution

AI agents analyze site plans against local zoning codes and building ordinances in parallel, identifying compliance issues in minutes rather than weeks. The platform converts AEC drawings into structured data, applies local codes automatically, and escalates judgment calls to human planners while handling objective compliance checks.

How You Use It

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Delivery Method

SaaS
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Integrations

Not publicly specified
Disciplines
Architecture, Civil Engineering, Owner/Developer
Project Phases
Construction Documentation, Bidding/Procurement
Project Types
Commercial, Residential, Healthcare, Education, Infrastructure, Mixed-Use, Industrial, Hospitality, Institutional

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Site plans, Building drawings, Local zoning codes
Optional: Development applications, Supporting documentation
Formats: PDF, DWG (rolling out), DXF (rolling out), BIM models (rolling out)
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Output

What you get

Format: Compliance reports with identified issues and recommendations
Fields: Zoning compliance status, Building code violations, Issue locations, Recommended corrections, Review timeline
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Algorithm

How it works

Model: Proprietary AI agents (multi-agent system architecture)
Accuracy: Claims to identify compliance issues with human-level reasoning (methodology not published)
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Privacy

How your data is protected

Retention: Not publicly specified
Training: Does not train AI models on proprietary data without explicit permission
Compliance: Enterprise-grade encryption for data in transit and at rest
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • • Municipal site plan review automation
  • • Zoning compliance verification for developers
  • • Building permit application processing
  • • Multi-departmental development review coordination
  • • Regulatory compliance checking for planning departments

Pricing

Free
Not available
Pro
Contact for pricing
Enterprise
Contact for pricing
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
✅
Verified Data (9)
problem, solution, deliveryMethod, maturityStage, yearFounded, customerBase, team-background, core-features, supported-formats
❌
Not Found (7)
pricing, api-documentation, privacy-policy, detailed-funding, compliance-certifications, algorithm-specifications, integrations
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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