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Real Estate verified Verified Outcome TRL 9

Robotic Drywall Finishing

domain Client: General Contractors handshake Provider: Canvas schedule Deploy: 2021-Present
89 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Deployment of a semi-autonomous robot that uses Lidar and spray arms to apply drywall mud and sand it to a perfect Level 5 finish, protecting workers from dust and strain.

rate_review Analyst Verdict

"Solves a labor crisis with automation. Drywall finishing is grueling, dusty work with a shortage of skilled labor. The robot doesn't get tired, captures its own dust, and delivers a consistent high-end finish every time."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Drywall finishing involves repetitive overhead motion and exposure to silica dust. It is a major cause of repetitive strain injuries and has a shrinking workforce. Achieving a 'Level 5' (perfectly smooth) finish requires highly skilled artisans who are rare and expensive.

psychology The Solution

The Canvas robot is driven into the room. It scans the walls to create a work map. A human operator oversees it as the robotic arm sprays compound and sands the wall with consistent pressure. A vacuum system captures 99.9% of the dust at the source. It can reach 15.5 feet high without scaffolding.

settings_suggest Technical & Deployment Specs

Integrations
None
Deployment Model
Robot as a Service
Data Classification
Lidar Mapping
Estimated TCO / ROI
Service Contract
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Site Congestion Medium Night shift operation.
Cost Medium RaaS model.

trending_up Impact Trajectory

Audited value realization curve

Captures 99.9% of airborne dust Verified Outcome
Primary KPIDelivers consistent Level 5 finish
Audit CycleReduced cycle time for finishing phase

policy Compliance & Gov

  • Standards: OSHA Silica Standards
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Lidar Mapping

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for General Contractors without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-655
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-655

Strategic Action Center

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