AI Clearing vs Satlas

AI Clearing connects design and BIM data, schedules, budgets, drone imagery, mobile inputs, and ground surveys into one construction intelligence system for large-scale infrastructure and renewable energy projects. Contractors and asset owners use its CORE platform to see what is actually happening on site instead of relying on scattered spreadsheets and field notes.

A proprietary computer vision engine trained on millions of construction objects compares as-built conditions against design plans. The platform delivers progress and quality reports within 6 to 24 hours of data capture and includes Clara, a conversational assistant that answers project questions from live field data.

Where most construction software tracks tasks in spreadsheets, AI Clearing is built around visual site evidence. It reconciles drone imagery, schedules, and BIM models automatically, which makes it better suited to utility-scale earthworks and renewables than generic project management tools that lack geospatial progress verification.

General contractors, EPC firms, and asset owners working on renewables, transmission, wind, highways, pipelines, railways, and civil earthworks use AI Clearing for progress tracking, quality control, billing verification, and portfolio oversight. Customers include PCL Solar, baywa-re, and Rosendin Renewables.

Satlas is an open geospatial platform from the Allen Institute for AI (Ai2) that uses computer vision models to analyze public Sentinel-2 satellite imagery and produce global, monthly-updated datasets. It lets researchers, environmental scientists, and geospatial analysts explore how the planet is changing through an interactive map covering marine infrastructure, renewable energy infrastructure, and tree cover.

The platform processes freely available satellite images with AI models pre-trained on SatlasPretrain, a remote sensing dataset with over 30 TB of imagery and 302 million labels. Users can compare side-by-side or timelapse views of offshore wind farms, solar installations, deforestation, and other land-use changes dating back to January 2016.

All geospatial data products, model weights, and training labels are freely downloadable under the ODC-BY license. Satlas also includes a super-resolution module that enhances low-resolution Sentinel-2 imagery to produce higher-detail global views, with open-source code available on GitHub.