Turning Construction Data into Trusted Intelligence
Turning Construction Data into Trusted Intelligence
Construction projects generate vast amounts of data—from drone imagery and design models to schedules, inspections, and field logs. Yet for many teams, this data remains fragmented, delayed, and difficult to trust. AI Clearing was built to solve this problem by transforming complex construction data into clear, decision-ready intelligence.
AI Clearing is an AI-native construction data analytics platform designed to support the entire project lifecycle, from early earthworks through operations and maintenance. At the center of the platform is AI Clearing CORE, a centralized analytics hub that ingests and unifies data from drones, CAD/BIM designs, project schedules, and mobile field applications into a single source of truth. By automating data ingestion and analysis, AI Clearing eliminates disconnected reporting workflows and gives owners, contractors, and engineers near–real-time visibility into project performance.
High-Accuracy Analytics at Enterprise Scale
A defining capability of AI Clearing within the Construction Data Analytics category is its proprietary AI engine, purpose-built for large, complex construction environments. The platform processes aerial and field data at scale to generate interactive 2D and 3D visualizations, orthophotomaps, and design-versus-as-built comparisons—delivering comprehensive insights within 24 hours of data capture.
Progress analytics are automatically aligned with project schedules, including Primavera P6, and visualized through interactive production curves (S-curves). These analytics support forecasting, earned value analysis, and early identification of schedule or cost risk, helping teams move from reactive reporting to proactive project control.
Deeper Insights Across Earthworks, Quality, and Operations
AI Clearing goes beyond surface-level visualization by delivering deep analytical capabilities across earthworks, quality, and operational performance. The EarthCORE module provides advanced volumetric analytics for cut-and-fill operations, including heatmaps, cross-sections, and automated section summaries that replace manual calculations and legacy BI dashboards.
On the ground, purpose-built field applications generate structured, geolocated data that feeds directly into the analytics engine. VerifyPro captures inspections and quality control data, OnSite Tracking logs safety, operational, and environmental observations, and TagTrack manages inventory and logistics through barcode scanning and visual asset mapping. All data is centralized in AI Clearing CORE, ensuring consistency, traceability, and auditability across the program.
A Modern Standard for Construction Data Analytics
Built for enterprise-scale construction, infrastructure, and energy projects, AI Clearing meets the requirements of modern construction data analytics software by collecting, processing, and analyzing large volumes of project data to drive measurable business outcomes. The platform supports data-driven decision-making across critical use cases such as progress validation, quality compliance, production optimization, and risk mitigation—without relying on generic business intelligence tools.
By combining AI-driven automation, advanced analytics, and seamless field-to-office connectivity, AI Clearing enables construction teams to move from raw data to trusted insights. The result is improved predictability, greater efficiency, and stronger project performance across the full lifecycle.
AI Clearing doesn’t just analyze construction data—it turns it into intelligence teams can act on with confidence.