Mach
Mach9 turns raw LiDAR and reality-capture scans into design-ready CAD linework for civil infrastructure, from curbs to striping to poles.
If your bottleneck is technician hours spent tracing point clouds, Mach9 attacks that specific problem and the math is hard to argue with — the vendor's own comparison puts a multi-month dataset at roughly six days with Mach9, against 223 days for conventional survey. It earns its keep on recurring, high-volume corridor work: DOT pavement-marking and sign inventories, survey firms, telecom pole and attachment extraction. The Leica LGSx integration (May 2026) removes a custom export step for Leica shops, and Digital Surveyor 2 (March 2026) claims up to 100x delivery speed. For one-off scans, or teams without mobile, terrestrial, or drone capture hardware already in the truck, the value case
Verified 11d ago · liveness 65/100 · cite: rightaichoice.com/tools/mach
- Survey and engineering firms turning corridor scans into design-ready linework
- Transportation agencies and DOTs running sign and pavement-marking inventories
- Telecom and utility teams extracting pole and asset data at scale
- High-volume mobile LiDAR shops lifting throughput per technician
- Individuals or small crews who need a free or low-cost GIS tool
- Workflows without mobile, terrestrial, or drone reality capture data to upload
- General-purpose mapping of buildings, vegetation, or non-road assets
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Skip Mach9 if you don't already have mobile, terrestrial, or drone reality-capture scans to feed it, or if your work is one-off rather than recurring corridor extraction — the throughput math only pays off across volume.
Compare on throughput math rather than list price: at 10x extraction per technician and a stated 223-days-to-6-days comparison, the platform competes against technician hours and outsourced drafting, not against GIS seat licenses. If your volume is a single corridor a year, that comparison doesn't favor Mach9; if it is continuous, the labor delta is the real cost basis.
In short
Mach — Mach9 turns raw LiDAR and reality-capture scans into design-ready CAD linework for civil infrastructure, from curbs to striping to poles. Best for Survey and engineering firms turning corridor scans into design-ready linework, Transportation agencies and DOTs running sign and pavement-marking inventories, Telecom and utility teams extracting pole and asset data at scale. Contact Sales pricing.
What's new in Mach
Checked 4 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Mach — is it worth it?
We scanned public community sources for Mach on Jul 28, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Mach? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI auto-extraction of breaklines, curbs, striping, poles, signs, and wires from point clouds
- Centimeter-level accuracy feature drafting at infrastructure scale
- Web-based CAD software with manual editing tools
- Accept-a-line, nudge-a-vertex, or draw-manually refinement on AI output
- System-agnostic ingest for mobile, terrestrial, and drone reality capture data
- Built-in QC flags that surface features needing human review
- Export to DXF, DGN, Esri Feature Services, Geodatabase, JSON, and Shapefile
- Field-to-finish survey format exports
- Leica LGSx integration for direct data delivery from Leica hardware
- Digital Surveyor 2 for up to 100x faster project delivery
- Works with Leica, Phoenix, RIEGL, Trimble, and NavVis capture hardware
- Full QA in a single interface without switching between systems
- Scalable processing from a single site to an entire infrastructure network
About Mach
Mach9 is AI CAD software built for the geospatial industry — survey, engineering, transportation, telecom, and utility teams that need complete deliverables from reality-capture data rather than months of manual tracing. You upload scans to its web-based CAD environment, and the AI drafts a first pass, auto-detecting breaklines, curbs, striping, poles, signs, and wires at centimeter-level accuracy. Step three is where judgment lives: you accept a line, nudge a vertex, or draw manually, with built-in QC flagging what needs review. Ingest is system-agnostic by design — mobile, terrestrial, and drone data from Leica, Phoenix, RIEGL, Trimble, and NavVis hardware. Outputs are deliberately non-proprietary: DXF, DGN, Esri Feature Services, Geodatabase, JSON, Shapefile, and field-to-finish survey formats, with the Leica LGSx integration (May 2026) enabling direct data delivery from Leica hardware. Mach9 publishes 100,000+ miles surveyed, 2,500+ projects delivered, and a 10x faster extraction rate per technician than manual drafting; its own comparison measures 223 days of conventional surveying against 6 days with Mach9. Digital Surveyor 2 (March 2026) targets up to 100x faster project delivery. This is not general-purpose GIS — it is purpose-built for infrastructure asset extraction, and the relevant question is how many corridors you run per year.
Behind the Verdict
Mach9 is best understood as a specialist instrument, not a general design platform. It sits between raw reality capture and the CAD/GIS tools your team already runs. The pipeline is four steps: upload scans from Leica, Phoenix, RIEGL, Trimble, or NavVis hardware; the AI drafts features (breaklines, curbs, striping, poles, signs, wires); you refine with CAD tools and review against built-in QC flags; you export as DXF, DGN, Esri Feature Service, Geodatabase, JSON, Shapefile, or field-to-finish survey formats. The strengths are clear. Extraction throughput is the headline — 10x faster per technician, "months to days" framing built on the vendor's own 223-day vs. 6-day comparison. The QC flagging is what makes the speed defensible; nothing here is a black-box dump, and the workflow expects a human to accept, nudge, or redraw the AI's linework before delivery. Ingest is genuinely hardware-agnostic, which matters because most survey shops have mixed fleets. Output is non-proprietary, so deliverables drop into AutoCAD, MicroStation, or Esri without a conversion project. The tradeoffs. This is a purpose-built tool for civil infrastructure features — it does not try to be your general CAD or GIS product, and it is not the tool for buildings, vegetation, or non-road assets. There is a manual review step by design: teams wanting a fully hands-off pipeline will be frustrated. And it assumes you have reality-capture data to feed it; without mobile, terrestrial, or drone scans, the platform has nothing to draft. Where it fits: recurring corridor work — highway widening and resurfacing, rural broadband pole inventories, statewide sign and pavement-marking assets, topographic base maps at scale. Where it doesn't: ad-hoc one-off scans, small crews looking for a free or low-cost GIS substitute, or buyers budgeting without a sales conversation. The 2026 cadence is worth noting. The Leica LGSx integration shipped in May 2026, and Digital Surveyor 2 landed in March 2026 with a stated goal of up to 100x faster delivery. That is active product investment in the geospatial stack, not a frozen 2024 tool.
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Real-world workflow fit
Concrete scenarios for the personas Mach actually fits — and what changes day-one when you adopt it.
Upload mobile LiDAR scans to Mach9's web CAD, run AI extraction for breaklines, curbs, and striping, then have technicians refine edge-case geometry against the built-in QC flags before export.
Outcome: A DXF or DGN deliverable that drops straight into the design team's CAD environment, with weeks of drafting compressed into days.
Ingest mobile mapping scans from a mixed hardware fleet, let Mach9 draft sign and striping features, then perform full QA in the single Mach9 interface rather than switching between systems.
Outcome: A consistent transportation asset dataset delivered as Esri Feature Services or Geodatabase, using the same workflow across the whole state.
Feed mobile capture data into Mach9, auto-extract pole positions and attachment points, review the AI draft with QC flags, and export as field-to-finish survey formats or Shapefile.
Outcome: Faster pole inventory for broadband design, with technician time focused on confirming the AI's calls rather than tracing each pole manually.
Use Cases
- Extract road paint lines, curbs, and signs automatically from mobile LiDAR surveys.
- Deliver engineering-ready CAD files for highway widening and resurfacing projects.
- Accelerate rural broadband design by extracting utility poles and attachment points.
- Convert mobile mapping data into GIS feature services for transportation asset management.
- Create topographic base maps for large-scale corridor projects in a fraction of the time.
- Run statewide sign and pavement-marking inventories with QC in one interface.
- Refine AI-drafted linework on edge-case geometry that requires expert judgment.
Limitations
- Mach9 is an AI CAD platform purpose-built for automated drafting of civil infrastructure features (breaklines, curbs, striping, poles, signs, wires) from reality-capture scans, so it is not a general-purpose CAD or GIS product.
- It ingests mobile, terrestrial, and drone data from hardware such as Leica, Phoenix, RIEGL, Trimble, and NavVis, and uploads happen through its web-based CAD software.
- Outputs are engineering deliverables (DXF, DGN, Esri Feature Service) that surveyors and engineers are expected to review, refine, and finalize rather than accept unedited.
- The value case depends on recurring corridor volume — teams with a single one-off scan to process, or no reality capture hardware in hand, will find little to use.
as of 2026-09-27
Verification history
We have re-verified Mach 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Mach's pricing actually pencils out — and where peers do it cheaper.
Compare on throughput math rather than list price: at 10x extraction per technician and a stated 223-days-to-6-days comparison, the platform competes against technician hours and outsourced drafting, not against GIS seat licenses. If your volume is a single corridor a year, that comparison doesn't favor Mach9; if it is continuous, the labor delta is the real cost basis.
Setup time & first value
How long it actually takes to get something useful out of Mach — broken out by persona, not the marketing-page minute.
Survey and engineering teams: first value lands when your first scan set completes AI extraction, since the workflow is upload → AI draft → refine → export with no rebuild of your CAD pipeline. DOT and telecom asset teams: expect the initial pass to be a QA-calibration exercise — reviewing the AI's sign, striping, or pole calls against your standards — after which recurring corridors run at
Switching to or from Mach
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual point-cloud tracing in AutoCAD or MicroStation: upload the same scans to Mach9, run AI extraction, and refine against QC flags instead of starting from a blank line layer.
- →From reality capture with manual drafting: keep your existing hardware and capture process, redirect the office-side extraction to Mach9's web CAD.
- →From Leica workflows: the Leica LGSx integration (May 2026) delivers data directly from Leica hardware, removing custom export steps.
- →From outsourced drafting: bring extraction in-house and keep technician hours on the edge-case geometry rather than bulk tracing.
- ↗To AutoCAD or MicroStation: export DXF or DGN and continue design work in your existing CAD environment.
- ↗To Esri: export Esri Feature Services or Geodatabase for GIS-native asset management workflows.
- ↗To field-to-finish survey workflows: export in field-to-finish survey formats for the rest of the survey pipeline.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Mach”, and we withheld 6: 6 could not be judged, because “Mach” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mach.
Official links
Tools that pair well with Mach
Common stack mates teams adopt alongside Mach, with the specific reason each pairing earns its keep.
DroneDeploy
Reality capture platform that turns drone, robot and 360-camera data into site maps, 3D models and AI-flagged schedule and safety reports.
Looq AI
Handheld photogrammetry for infrastructure: capture from the ground with qCam, process in the cloud with qAI, deliver point clouds and pole models via qApp.
Autodesk Forma
Autodesk Forma Site Design is cloud software for early-stage site planning, massing, and environmental analysis, starting at $59/month.
Featured Head-to-Head Comparisons
Mach vs Polycam
Polycam and Mach serve entirely different use cases. Choose Polycam if you need affordable, versatile 3D scanning (objects, interiors, floor plans, drones) with a free tier and rich exports. Choose Mach if you are a civil engineering firm that needs automated, design-grade road feature extraction from mobile LiDAR data (100x faster). Most buyers will not cross-shop them; the decision is about domain, not features.
Mach vs Geologicai
Choose GeologicAI if you are a mining company needing end-to-end core scanning, AI logging, and resource modeling for critical minerals, with sub-48-hour turnaround. Choose Mach if you are a civil engineering or surveying firm that needs to automate road feature extraction from mobile LiDAR and deliver design-grade CAD outputs quickly. The two tools address completely different industries and workflows, so the decision depends entirely on your domain.
Mach vs Screenplayiq
ScreenplayIQ and Mach are incomparable tools serving different verticals—film analysis vs. civil engineering LiDAR extraction. Choose ScreenplayIQ if you're a screenwriter or studio exec wanting data-driven script marketability insights; choose Mach if you're a civil engineering firm needing to automate road feature extraction from mobile mapping data. There's no direct overlap.
Alternatives to Mach
View all
DroneDeploy
Reality capture platform that turns drone, robot and 360-camera data into site maps, 3D models and AI-flagged schedule and safety reports.
Looq AI
Handheld photogrammetry for infrastructure: capture from the ground with qCam, process in the cloud with qAI, deliver point clouds and pole models via qApp.
Autodesk Forma
Autodesk Forma Site Design is cloud software for early-stage site planning, massing, and environmental analysis, starting at $59/month.
Frequently Asked Questions
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