Ferra provides an AI‑driven platform that ingests structural steel drawings, specifications, and revision sets to automatically extract project metadata and generate risk scores for schedule, phasing, and constraints.
Funding
Funding not disclosed
Founders
Product
Problem
Estimators often waste time reviewing structural steel projects that are a poor fit, because critical risk signals are hidden across numerous drawing sheets, specifications, and revision sets. Missing these signals leads to inaccurate bids, margin erosion from unnoticed revisions, and wasted estimator capacity.
Solution
Ferra offers a software platform that ingests complete sets of structural steel drawings, specifications, and revisions to automatically extract project metadata and assess bid suitability. The system generates risk scores for schedule, phasing, and constraints, and produces a clear scope snapshot that highlights inclusions, exclusions, and hidden risks. By comparing the extracted data against a company’s profile, Ferra provides a fit assessment that helps estimators make informed go/no‑go decisions before committing effort. The platform continuously monitors revisions, flagging changes that could impact estimates and protecting margin. All analysis is delivered through an intuitive dashboard, enabling rapid, data‑driven bid decisions.
Target Audience
Ferra is designed for structural steel estimators and bidding teams within construction firms and steel fabricators who need to evaluate project suitability and protect margins.
Features
- AI‑driven scanning of structural steel drawings, specs, and revision sets to extract detailed project metadata
- Automated risk scoring across schedule, phasing, and constraint dimensions
- Scope snapshot that lists structural inclusions and exclusions
- Fit assessment tailored to the estimator’s company profile for go/no‑go recommendations
- Real‑time revision monitoring that alerts users to scope changes affecting estimates
- Dashboard with visual risk summaries and actionable insights for quick decision making