Manual schedule and quantity extraction
Engineers still translate plan labels, DGN references, profiles, and sheets into contractor-facing tables by hand.
AI workflow layer for transportation engineering design.
Turn Bentley/MicroStation project data, GIS layers, plan PDFs, and agency standards into schedules, quantities, stormwater impact summaries, and review-ready engineering decisions.
Transportation engineers spend hundreds of hours translating scattered CAD, GIS, plan, specification, and stormwater data into contractor-facing schedules, quantity tables, cost estimates, impact summaries, and design-stage decisions.
Engineers still translate plan labels, DGN references, profiles, and sheets into contractor-facing tables by hand.
DOT work depends on pay items, measurement rules, CAD standards, and agency criteria that are hard to keep aligned.
Between 30% and 90% design, teams compare drainage, utility, ROW, grading, cost, and constructability impacts.
Flowline is built as a workflow layer above transportation design artifacts, not a replacement for CAD tools or engineering judgment.
The passcode demo lets reviewers scan a representative package, extract a drainage schedule, run an engineer QA pass, and compare stormwater options.
Project Room preview
Three workflows from one representative package
The larger vision expands from schedule extraction into full SWM impact review: reports, contours, existing/proposed drainage areas, utilities, grading, POIs, and Tc paths.
Flowline is product-forward, technical, and scoped to the workflows where transportation teams already feel the manual burden.
Flowline starts with the deliverables civil teams already produce: schedules, quantities, plan references, and draft memos.
The product thesis is grounded in MicroStation, OpenRoads, DGN references, DOT workspaces, and agency plan packages.
The roadmap connects extracted elements to pay items, measurement rules, and state-agency specifications.
Outputs are draft, sourced, confidence-scored, and flagged for human review before they influence deliverables.
The first workflow is focused: drainage schedules and stormwater review support, not generic AI for CAD.
We are looking for design partners working with drainage, stormwater, MicroStation, OpenRoads, DGN files, and DOT plan packages.