Mach9 GTM brain

Mach9 turns LiDAR and reality-capture scans into AI-drafted CAD deliverables for surveying and civil engineering teams.

category

AI survey drafting and geospatial feature extraction

market profile

  • text: Reality capture collects data quickly but manually drafting point clouds into engineering deliverables remains a bottleneck.
  • text: Survey firms face a shortage of experienced staff while infrastructure work grows.

personas

  • title: Director of Surveying or Reality Capture
    pains:
    • Manual feature extraction ties up scarce technicians for weeks on corridor and site projects.
    • Growing project demand is difficult to serve without more survey staff.
  • title: Survey CAD or GIS production manager
    pains:
    • Turning raw scans into design-ready linework requires extensive tracing and quality checks.
    • Errors or missed features can require expensive rework or field revisits.
  • title: Transportation or utility asset mapping leader
    pains:
    • Large networks produce more scan data than teams can process into usable asset inventories.
    • Deliverables must remain accurate and reviewable at infrastructure scale.

icp

  • text: US surveying and engineering firms delivering site, corridor, road and infrastructure mapping, including large multidisciplinary firms.
  • text: Transportation agencies, telecom network designers and electric utilities with mobile, aerial or terrestrial LiDAR data.

message pillars

  • text: Convert scans to usable deliverables faster.
  • text: Retain expert control over the finished survey.
  • text: Use existing capture hardware across scanning methods.

objections

  • objection: AI accuracy is insufficient for engineering deliverables.
    response: Pilot on representative scans and compare accepted linework with the firm's accuracy and QC requirements; surveyors retain final review.
  • objection: Our equipment and CAD stack are already established.
    response: Demonstrate import from existing scanners and export to DXF, DGN or GIS in the pilot.

competitors

  • name: TopoDOT
    why: Point-cloud processing and feature extraction for survey deliverables.
  • name: Virtual Surveyor
    why: Drone surveying and mapping software.
  • name: Trimble
    why: Offers established survey and point-cloud processing tools.

influencers

  • name: Alex Baikovitz
    url: https://lidarmag.com/podcast_episode/25-alex-baikovitz/
    why: Co-founder and CEO discussing geospatial mapping.

keywords

  • LiDAR feature extraction software
  • point cloud to CAD
  • automated survey drafting
  • corridor mapping software
  • mobile mapping processing
  • AI survey software
  • drone point cloud extraction

voice

  • Technical and specific
  • Pragmatic about expert review
  • Outcome-led

signals

  • text: Firm has invested in mobile mapping or aerial LiDAR but has a backlog of scan-to-CAD production.
  • text: Survey team is hiring technicians or pursuing major road, utility or broadband mapping projects.

stack

  • DXF
  • DGN
  • Esri Feature Services
  • Leica
  • Trimble
  • RIEGL

pricing

model: usage

motion

hybrid

channels

  • SEO
  • webinars
  • industry events
  • partner ecosystem
  • sales demos

confidence

high

Founders

  • name: Alexander Baikovitz
    title: Founder
    role: Founder
    bio: Building software that actually understands the physical world to map, design, build, and operate infrastructure.
  • name: Haowen Shi
    title: Founder
    role: Founder
    bio: Building software to efficiently create actionable 3D maps for critical infrastructure.

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