Mach9, a San Francisco company that sells web-based AI CAD software for civil survey work, said on November 4, 2026, that its platform now takes aerial LiDAR and photogrammetry data from drones, helicopters and planes. Until now it worked from mobile and terrestrial scans. The release affects the step between a site flight and a usable topo: classifying the point cloud, drafting the linework and building the ground surface that goes into Civil 3D or OpenRoads.
What it does
On a site job today, a drone pilot can fly the parcel in a morning. Then a survey technician spends hours in the office classifying points, tracing curbs and pavement edges, and building a surface in several different programs. Mach9’s release says one day of flying on a detailed electric utility project can turn into months of office work.
Mach9 puts those steps in one browser application. The survey team uploads LAS or LAZ point clouds from LiDAR or photogrammetry, along with an orthomosaic, which is a stitched aerial photo corrected to map scale. Mach9 says its AI produces a first draft in hours. The draft includes 3D points and lines for curbs, building footprints, pavement edges and vegetation outlines, plus a classified point cloud, meaning each point is tagged as ground, building, vegetation or another class.
The surveyor then checks and edits the draft in the same tool. Surface tools build ground surfaces, breaklines and contours, and a deviation heatmap shows where the surface departs from the points. Exports include DXF, DWG, SHP, GDB and LandXML. For utility work, the release says the software also drafts utility poles and the curved 3D lines of overhead wires for clearance analysis and make-ready design.
On a contractor’s side, the users are an in-house survey or VDC group on a sitework, heavy civil or utility job. The output feeds existing-conditions surfaces for earthwork quantities on land development, solar and data center sites, along with site and ALTA surveys and corridor basemaps.
Mach9’s own guidance on drone data sets limits. Its density guide says a flight needs at least 100 points per square meter for automated linework, and it recommends 400 or more. The same guide lists vegetation edges and overhead wires as beta on drone data. It says signs, poles and manholes are extracted from mobile mapping data but still need an operator on drone data.
| Drone LiDAR density (points per sq m) | Approximate point spacing | What Mach9's guide says to expect |
|---|---|---|
| Below 100 | More than 10 cm (4 in) | Ground classification still runs; most linework is drafted by hand |
| 100 | About 10 cm (4 in) | Minimum for automated linework; a 6-inch curb gets one or two points |
| 400 or more | About 5 cm (2 in) | Recommended; a curb gets about three points |
| About 650 and up in a cross-grid | Not stated | Separate curb lines plus crosshatch and guardrail came through in Mach9's drone projects |
Evidence so far
The evidence so far is Mach9’s release and blog posts, with comments from survey managers at three engineering firms that use the software. AEC Magazine’s coverage repeats the same customer figures.
These claims come from Mach9 and its customers:
- Russ Hall, senior survey project manager at Langan, said Mach9 cut the firm’s delivery time by weeks, about 40%, on several multi-thousand-acre projects in Texas that it could not otherwise have finished on time.
- Thomas Tucker, survey project manager at Welch Comer, said he saves an average of four to five hours per project. “[Every] two projects, we’re saving a day,” he said.
- Welch Comer flies a GeoCue TrueView 540 at 150 to 200 feet above ground and about 5 meters per second. Mach9 calculates from GeoCue’s published figures that those settings give roughly 900 to 1,200 points per square meter in one pass.
- Mach9 says it has been used on more than 2,500 projects in all 50 states and that teams work up to 10 times faster at one-fifth the cost.
All three quoted firms are engineering and survey consultants. Mach9 describes its accuracy as centimeter-level at infrastructure scale. A breakdown of Langan’s 40% by step and an accuracy report against surveyed checkpoints are not yet public.
How to measure it on your projects
Track office hours per acre of finished topo. Start the clock when the flight data reaches the office and stop it when the LandXML or DWG goes to the estimator or the engineer. Count classification, drafting, surface building and QA. Log any return trip to the field for missed features as a separate count.
Capture the baseline before the pilot:
- Pull three recent drone topos of similar site type, with acreage and the flight’s point density.
- Get the office hours on each from timesheets or from the technician.
- Note how many features were added after the first delivery, and whether anyone went back to the site.
On the pilot, log the same figures, plus the hours spent fixing the AI draft. Check the finished surface against your own control shots, and record the vertical difference at each check point. That gives you an accuracy figure for your own sites.
A first step on one job is to check the point density of a flight you have already processed. If it falls below 100 points per square meter, Mach9’s guide says most linework will still be drawn by hand, so plan the next flight lower and slower before the pilot.
Availability and cost
The aerial support is available now. Mach9 prices by quote through a demo request. The company is holding a webinar on the aerial workflow on November 17, 2026.
Related reading: Bedrock Robotics raises $600 million after its retrofitted excavators began paid, operator-free earthwork in August.