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Rugged Robotics

Autonomous layout marking robot for construction sites

Rugged Robotics provides Layout as a Service using Mark1, an autonomous robot that marks fully coordinated architectural and engineering designs directly onto unfinished concrete floors with precision, eliminating manual layout errors and accelerating project timelines.

$12M raised 📈 Growth Stage

Founded 2018 • 8+ major construction firms (Consigli, Suffolk, Turner, Brogoitti, Hensel Phelps, Lee Kennedy, Roman Mosaic, STO Building Group)

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Why This Tool Exists

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The Problem

Construction teams spend 5-10 hours per week manually laying out architectural and engineering designs on concrete floors, a process prone to errors that cause rework, delays, and conflicts between trades. Projects incur significant costs from layout mistakes and inefficient labor allocation.

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The Solution

Mark1 autonomously marks fully coordinated 3D designs onto concrete slabs with <1/8" accuracy, reducing manual layout time by 60% and eliminating cross-trade conflicts. Rugged manages the entire process from BIM file preparation to field execution.

How You Use It

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Delivery Method

SaaS

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Integrations

BIM models Architectural drawings Engineering plans

Disciplines

Construction, Architecture, Structural Engineering, MEP Engineering

Project Phases

Construction Administration

Project Types

Commercial, Healthcare, Industrial, Infrastructure, Data Centers

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: 3D BIM model, Architectural/engineering drawings, Jobsite access

Optional: Previous layout documentation, Custom printing specifications

Formats: IFC, Revit models, PDF architectural plans, AutoCAD DWG

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Output

What you get

Format: Marked concrete surfaces and digital documentation

Fields: Layout lines marked on concrete with inkjet precision, Column centers and clearances marked, Trade-specific details (electrical, plumbing, HVAC runways), Multi-trade coordinated layouts in single pass, Data-rich details, symbols, and multi-line text

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Algorithm

How it works

Model: Proprietary autonomous navigation and computer vision system (model details not publicly disclosed)

Accuracy: <1/8" accuracy for standard construction layouts; 2-3mm accuracy for specialized applications (data centers, warehouses, manufacturing)

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Privacy

How your data is protected

Retention: Not publicly specified (data retention tied to project lifecycle and business necessity)

Training: Not disclosed (no mention of AI model training on jobsite data)

Compliance: General privacy policy published, No SOC 2, ISO 27001, or GDPR-specific certifications mentioned

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Multi-trade floor layout coordination to eliminate cross-trade conflicts
• High-precision structural column and opening mark-out for framing
• Complex MEP layout (electrical, plumbing, HVAC) on large floors
• Data center and mission-critical facility layout (2-3mm accuracy)
• Rapid layout of hyperscale projects (250K+ SF coordination in days vs. weeks)
• Quality assurance verification on complex multi-trade projects

Pricing

Free

Pilot projects available for qualified customers

Pro

Custom pricing based on project scope (square footage, complexity, layout types)

Enterprise

Multi-project contracts with major contractors

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (9)

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Verified Data (15)

problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, customerBase, fundingTotal, input-output-specs, accuracy-metrics, useCases, control-features, pricing-model

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Not Found (8)

api-documentation, integrations-with-procore-bim360, soc2-or-iso27001-certifications, gdpr-compliance-details, data-storage-location, ai-model-training-practices, webhook-support, total-projects-deployed-count

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.