Can your tool handle a messy revit model in a renovation bid

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A messy renovation model means messy numbers, no matter how good the AI is. BidLight's two AI models read geometry and metadata straight out of Revit to classi
support@bidlight.com
asked 2 months agoSupport Team

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<p>The deal is simple: a messy renovation model gives you messy numbers, no matter how good the AI reading it is.</p> <p>BidLight&#39;s two AI models classify BOQ line items by reading geometry and metadata straight out of Revit, hitting about 86% accuracy on a clean export. On a renovation, though, existing-conditions models often carry unlabeled walls, missing material parameters, and inconsistent phasing from whoever last touched the file. That noise doesn&#39;t break the estimate, but it does mean more line items land in the &quot;needs a look&quot; pile instead of auto-classifying clean.</p> <p>Here&#39;s how to keep it from slowing you down:</p> <ol><li><strong>Set phasing properly</strong> — tag existing, demo, and new construction elements so BidLight isn&#39;t guessing what&#39;s coming out versus going in.</li><li><strong>Fill in material and type parameters</strong> where you can, even roughly — geometry alone underdetermines classification.</li><li><strong>Export and run it anyway</strong> — the platform pulls current pricing from its database plus Craftsman, 1Build, and RSMeans, so you get a real baseline fast, even on an imperfect model.</li><li><strong>Review the flagged, low-confidence items</strong> rather than the whole BOQ — that&#39;s where the messy-model effect actually shows up.</li><li><strong>Re-run as the model updates</strong> — pricing and quantities update in real time, so cleanup work pays off immediately instead of triggering a re-takeoff.</li></ol> <p>If the model is a genuine wreck — legacy files, no consistent standards — that&#39;s exactly what BidLight&#39;s done-for-you BIM work (execution plans, detailing) is built to fix before estimating even starts.</p>
support@bidlight.com
answered 2 months agoSupport Team

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