Win more bids with faster, more accurate estimates

ChatGPT generates one-pass text outputs from documents. It does not perform a true takeoff. Syntraix uses computer vision and document-aware processing to systematically analyze drawings, detect scale, and extract quantities with traceability back to the source. Every value is grounded, reviewable, and tied to the plans, not just inferred from text.

Yes, since each decision is fully auditable. Every material quantity is visually mapped back to the drawings, similar to Bluebeam, but generated automatically. Estimators can click into any quantity, see exactly where it was identified, and verify it against the source plans. The result is a transparent, reviewable takeoff rather than a black-box output.

You get material takeoffs, structured line items, and surfaced scope details organized into an estimate-ready format. Instead of digging through PDFs, your team starts with a clean, editable foundation tied directly to the original documents.

No. Syntraix removes the most time-consuming parts of estimating, including document review and quantity extraction, so estimators can focus on pricing, judgment, and risk. It augments your team’s output rather than replacing it.

Syntraix systematically analyzes drawings and specifications instead of relying on manual scanning. It surfaces relevant scope details and links them back to source locations, making it much harder to overlook key requirements or quantities.

No. Syntraix is designed to fit into your current process. You can export results, validate against your own methods, and continue using your existing spreadsheets or pricing tools while benefiting from faster and more reliable inputs.