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SWAPP AI

AI-powered architectural documentation automation

AI co-pilot platform that learns architectural firms' standards and automates creation of construction documents, including floor plans, elevations, and MEP layouts from schematic designs through construction documentation.

$11.5M raised 📈 Growth Stage

Founded 2017 • 15+ architecture firms including MYS Architects (Israel's largest), MOREgroup, SNHA, VLK Architects

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Why This Tool Exists

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The Problem

Architectural firms spend weeks manually creating detailed construction documents from schematic designs, requiring consistent application of firm-specific standards, annotation practices, and BIM conventions. This repetitive work delays project schedules and prevents architects from focusing on creative design work.

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The Solution

SWAPP learns from a firm's historical projects to extract design patterns and standards, then automatically generates detailed Revit deliverables (floor plans, elevations, annotations, schedules) that comply with firm-specific conventions. The platform transforms schematic designs into construction documentation sets in days rather than weeks.

How You Use It

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Delivery Method

SaaS API Plugin

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Integrations

Revit AutoCAD Autodesk BIM 360 Autodesk Construction Cloud (ACC)

Disciplines

Architecture, Construction

Project Phases

Schematic Design, Design Development, Construction Documentation

Project Types

Commercial, Residential, Mixed-Use, Institutional, Industrial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Schematic design (Revit model), Historical project examples (for AI training)

Optional: Project schedule, Design guidelines, BIM standards documentation

Formats: RVT (Revit), DWG, IFC

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Output

What you get

Format: Revit construction documents with AI-generated annotations and layouts

Fields: Floor plans with annotations, Elevations and sections, Door and window schedules, Finish schedules, MEP coordination documentation, Custom callouts and dimensions

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Algorithm

How it works

Model: Proprietary Design Decision Language (DDL) + machine learning on firm-specific standards

Accuracy: Automates up to 80% of documentation tasks; claims 50% reduction in documentation time (methodology not published)

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Privacy

How your data is protected

Retention: Project-based retention; data retained as long as necessary to fulfill service purposes and comply with legal obligations

Training: Not publicly specified whether client data is used to train general models; firm data used only for client-specific model training

Compliance: ISO 27001 certified, GDPR compliant with standard contractual clauses for EU data transfers

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Automate creation of construction document sets from schematic designs
• Maintain consistency across multiple projects using firm standards
• Reduce manual annotation and schedule creation time
• Accelerate design development to construction documentation workflow
• Generate MEP coordination documentation
• Enable architects to focus on design instead of documentation

Pricing

Free

No free tier

Pro

Custom pricing based on square footage and vertical (industry type)

Enterprise

Enterprise pricing available with dedicated consulting

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📚 Research Sources & Data Quality Last verified: 2026-01-31

Data Sources (10)

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Verified Data (16)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, customerBase, input-formats, output-fields, useCases, pricing-model, compliance-iso27001

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Not Found (7)

api-documentation, algorithm-accuracy-methodology, data-training-policy, data-retention-period, soc2-certification, exact-customer-count, rate-limit-specifications

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.