Price a building from a PDF
Start from a flat PDF drawing and finish with a priced, validated estimate ready to export.…
Match imported elements to cost items, let AI price the scope, accept it into the bill and validate before you trust it.
4 steps across the platform - what you do at each one, and why it matters.
Import your elements and descriptions and let the matcher line each one up to a cost-database item, with a confidence score on every match.
Why: Coding hundreds of lines by hand is slow and uneven. Scored matches show where to trust the machine and where to check by hand.
Run the AI estimator over the matched scope so it proposes priced lines, then confirm or overrule each suggestion.
Why: A first-pass priced draft in minutes saves hours, but a number only goes in the bid once a person has signed it off.
Pull the confirmed lines into the bill of quantities and enter or adjust the quantities.
Why: The bill is what you actually price and submit. Getting the quantities right here is where the money is won or lost.
Run validation over the finished bill to flag zero prices, missing quantities, duplicates and rate outliers.
Why: An AI draft can leave a hole or a silly rate that reads fine at a glance. Catching it before submission stops an underpriced or embarrassing bid.
4 / 184 platform modules
Start from a flat PDF drawing and finish with a priced, validated estimate ready to export.…
Put a priced bill through the validation rules, clear every warning and error, then export…
Pull priced items from a real cost database, build the bill from them, bundle recurring bui…