AI Clearing vs Trelent

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.

Trelent is a private data science and automation platform for workflows that involve sensitive information in regulated industries. It deploys self-hosted AI infrastructure inside your own cloud so files, databases, and agent workflows never leave your environment. The stack covers data ingestion, semantic search, and multi-step agent orchestration as three connected layers.

Most enterprise AI vendors sell seats on a shared cloud and hand you a chat interface. Trelent takes the opposite bet: a forward-deployed engineering team embeds with yours, builds production workflows on private infrastructure, and ties later pricing to measurable business outcomes instead of token counts. That model fits compliance-heavy teams who cannot send client data to a third-party API.

Financial services firms, law practices, and cybersecurity teams use it for client onboarding, financial statement scanning, and legal document review. BPO partners also route regulated client workflows through Trelent when the work sits above standard language-based tasks. Engagements start with a 2 to 4 month proof phase before scaling to outcome-based contracts.