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KEWAZO

AI-powered scaffolding robotics and analytics

LIFTBOT robotic hoist automates material transport in scaffolding assembly with AI-powered ONSITE analytics platform for construction optimization.

Pricing
contact the vendor
Alternatives
Oracle Construction Intelligence Cloud (formerly Newmetrix), SWAPP AI, Construction Robotics
Who it's for
Construction
$20M raisedGrowth Stage
Founded 2018 · ExxonMobil, Total Energies, BASF, Dow, Ineos, Bilfinger, Altrad
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams spend excessive man-hours on manual scaffolding assembly and material transport, facing 70% inefficient workflows, safety risks from manual lifting, and labor shortages in the $50B scaffolding industry.

The Solution

LIFTBOT robotic hoist automates material transport along scaffolding tracks using machine learning for path optimization, saving up to 44% of labor costs while ONSITE analytics provides real-time digital twin visualization and performance insights.

USAGE

How You Use It

Delivery Method
Mobile AppSaaS
Integrations
BIM modeling softwareWhatsApp notificationsCloud analytics
Disciplines
Construction
Workflows
Data & Automation
Project Phases
Construction Administration
Project Types
Commercial, Industrial, Infrastructure
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Scaffolding structure dimensions, Material weight specifications, Safety guardrail configuration
Optional:BIM model data, Project schedule, Weather conditions
Formats:Physical sensors, GPS coordinates, Weight sensors, IFC files
Output
What you get
Format:Real-time analytics dashboard and mobile app notifications
Fields:Material transport efficiency metrics, Digital twin scaffolding visualization, Performance comparison data, Safety compliance indicators, Resource utilization rates, Target vs actual progress
Algorithm
How it works
Model:Machine learning for path optimization and operational efficiency
Accuracy:Up to 70% man-hour savings demonstrated across 30+ projects
Privacy
How your data is protected
Retention:Project-based data retention
Training:Machine learning models trained on aggregated operational data
Compliance:GDPR compliant per privacy policy
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
Webhook support available
USE CASES

Use Cases

  • ·Automated material transport in scaffolding assembly
  • ·Real-time construction progress tracking with digital twins
  • ·Labor cost reduction and efficiency optimization
  • ·Safety enhancement through reduced manual lifting
  • ·Performance analytics and team gamification for productivity
PRICING

Pricing

Free
Contact for pilot project (2-3 weeks)
Pro
Contact for 12-month rental pricing
Enterprise
Custom deployment and scaling packages
Sources & Research NotesResearch date: 2026-02-01
Data Sources (7)
Fields Checked (9)
problem, solution, deliveryMethod, customerBase, fundingTotal, maturityStage, privacy-compliance, performance-metrics, technical-specifications
Not Found (4)
detailed-api-documentation, specific-pricing-tiers, compliance-certifications, integration-partnerships
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.
ALTERNATIVES

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