Automate Your Bid Submission Process to Save Time

Estimating teams within specialty contracting, often with 3 estimators handling 30+ takeoffs weekly, face significant operational friction. Estimators typically navigate large drawing sets, often flipping through 50+ pages per project, manually extracting critical data points. While tools like PlanSwift assist with digital takeoffs, the subsequent manual data entry from takeoff software into complex Excel pricing engines creates a persistent source of error and inefficiency.

Consider the workflow: an estimator uses PlanSwift to measure lengths and areas, but then must manually transcribe these figures into a detailed Excel spreadsheet that contains hundreds of pricing formulas. A single copy-paste error on a material quantity or zone measurement can lead to a missed scope item, resulting in an underbid that erodes profit margins or a time-consuming re-estimation. This manual transcription is a common failure point that off-the-shelf estimation tools do not address.

Further compounding the issue is the initial document interpretation. General contractors frequently send non-standard bid packages that are 100-200 pages long. These documents contain critical information spread across architectural, structural, and mechanical drawings, as well as lengthy specification sections. Estimators spend hours just searching these documents for specific details like ceiling types, grid requirements, or 'typical floor' labels (e.g., floors 2-17 identical) – missing such a label can lead to catastrophic square footage undercounts. Existing software struggles with this unstructured data ingestion, requiring manual review before any takeoff can even begin. The core problem is not the math, but the reliable, high-speed extraction of structured requirements from messy, inconsistent bid documents.

Syntora's approach to bid automation begins with a thorough audit of your current pre-construction workflow. We would analyze a representative sample of your recent bid submissions—raw general contractor documents, your takeoff outputs from systems like PlanSwift, and your final populated Excel pricing sheets. This initial phase defines the exact data points your estimators extract, identifies common drawing types (reflected ceiling plans, floor plans), and maps the deterministic rules your team applies for material and labor calculations.

Our engineering engagement would then design and build a custom document processing pipeline using Python, tailored to your trade and drawing specifications. For drawing analysis, we would deploy Gemini Vision, with a dual-pipeline approach (vision-only complemented by OCR-assisted reconciliation for specific zones), to extract material quantities, ceiling types, and zone measurements directly from architectural drawings. For text-heavy specifications, the Gemini Pro API would parse unstructured text to identify specific project requirements or compliance details.

This extracted data feeds into a FastAPI service that normalizes the information into a consistent format, enabling it to accurately populate your existing Excel pricing templates using openpyxl. As we've done for commercial ceiling contractors, the system would discover cell locations by scanning column A labels, writing only quantity cells, and preserving all existing pricing formulas so your templates auto-recalculate. A key component of our system is a 5-pass verification pipeline with outlier trimming, which we've used to achieve accuracy within 2-3% of manual takeoffs, processing what typically takes 1-8 hours in under 60 seconds.

The delivered system would include a simple web interface for your team to upload bid packages. The output would be structured data (CSV or JSON) and a populated Excel file, ready for review. We would integrate with your existing systems like PlanSwift for takeoff data input, Excel for pricing, and potentially QuickBooks for accounting or Google Workspace for document management, ensuring a cohesive workflow. Syntora delivers the full source code and documentation, enabling your team to own and maintain the system.