AI Clearing vs Faraday

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.

Faraday delivers customer context on roughly 240 million U.S. adults through its Faraday Identity Graph, giving marketing teams and AI agents the demographic, financial, and lifestyle signals that first-party CRM data alone cannot provide. Founded in 2012 and based in Burlington, Vermont, the platform enriches lead lists, builds propensity and churn models, and deploys predictions via REST API, MCP server, or batch files into warehouses like Snowflake, BigQuery, and Redshift.

Where traditional lead scoring tools rely on clicks and form fills, Faraday layers real-world household context onto your own customer records before training bespoke machine learning models. Case studies cite a jewelry brand personalizing at scale, American Standard closing leads at 3x higher margin, and Bespoke Post seeing 5x ROI on subscription box targeting. Both Faraday Pro (self-serve, pay per match) and Faraday Enterprise (custom models, sales-led setup) draw from the same identity graph.

E-commerce brands, financial services firms, home services companies, and AI platform builders use Faraday to segment personas, score propensity to buy, and ground agent workflows in verified consumer data rather than guesswork.