Doxel
Transforming construction with AI-driven reality capture and automated progress tracking.
AI-Driven Digital Procurement and Fleet Management for Global Construction.
Klarx is an advanced AI-enabled digital ecosystem designed to revolutionize construction equipment procurement and fleet management. By 2026, Klarx has evolved from a simple rental marketplace into a sophisticated 'Equipment-as-a-Service' (EaaS) orchestrator. Its technical architecture leverages proprietary machine learning algorithms to synchronize supply and demand across thousands of independent rental partners and construction firms. The platform integrates real-time IoT telemetry from heavy machinery with predictive logistics models to minimize downtime and optimize delivery routes. Klarx utilizes a multi-tenant cloud infrastructure that serves as a single source of truth for machine availability, technical specifications, and historical performance data. Its market positioning focuses on the digitization of the heavy asset lifecycle, offering enterprise-grade tools for carbon footprint tracking (ESG compliance), automated invoicing through OCR, and predictive maintenance alerts. By centralizing fragmented data streams from disparate manufacturers and rental providers, Klarx provides a high-fidelity dashboard for site managers to automate the entire lifecycle of machinery deployment, from sourcing to demobilization.
Algorithmic matching of machine technical requirements against real-time vendor availability and geographic proximity.
Transforming construction with AI-driven reality capture and automated progress tracking.
The intelligent homebuilding platform for automated design, sales, and construction.
Automate construction takeoffs and estimating with high-precision computer vision.
The Financial Operating System for Construction
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Normalized data ingestion from multiple OEM telematics systems (CAT, Komatsu, Liebherr) into a single API.
Uses spatial AI to calculate the most efficient transport routes for heavy machinery delivery.
Machine learning-based OCR that validates rental invoices against agreed contract rates and machine uptime.
ML models analyze IoT sensor data to predict machinery failure before it occurs.
Calculates estimated CO2 output per machine based on engine type, duration, and workload.
Virtualizes local supply pools to ensure guaranteed availability during peak seasons.
Coordinating 50+ different machines from 10+ vendors across a congested city site.
Registry Updated:2/7/2026
GPS tracking monitors incoming delivery trucks.
A critical excavator breaks down mid-shift, threatening to stall the site.
Consolidating machinery emission data for environmental compliance.