Analytics

Transform spatial data into usable operational and engineering intelligence.

  • LiDAR & imagery feature extraction
  • Vegetation / encroachment analysis
  • Coverage mapping
  • Change detection
  • Spatial dashboards
Consulting

Support planning, permitting and deployment decisions before field work begins.

  • Permitting support
  • BEAD / broadband rollout planning
  • Capture strategy
  • Deployment guidance
  • Jurisdiction planning
Engineering Support

Convert captured conditions into field-ready and design-ready engineering information.

  • Pole audits & load assessments
  • Scan-to-BIM
  • As-built drawings
  • Permit-ready documentation
  • Engineering-ready data preparation
Digital Enterprise

Make geospatial intelligence easier to access, visualize and use across teams.

  • WebGIS dashboards
  • Digital twins
  • Virtual walkthroughs
  • Cloud delivery
  • Tool & platform integration

BROADER CAPABILITIES

Beyond Capture:
Turning Geospatial Data
into Engineering Value

From planning and analytics to engineering and digital delivery, we help you get more value from your geospatial data. Hover over any capability on the left to see what’s inside.

CORE REALITY CAPTURE SERVICES

Four Core Capture Methods. One Integrated Reality Capture Ecosystem.

The right method depends on the environment — and some projects require more than one.

DELIVERY LIFECYCLE

From Reality Capture to Engineering-Ready Data

We manage the complete data lifecycle, from capture planning through validated outputs built for downstream engineering use.

Plan & Select the Method

Site conditions, access, control, accuracy, deliverables.

Capture

Aerial LiDAR, Photogrammetry, Mobile Mapping, Terrestrial Scanning.

Process & Register

Registration, cleaning, imagery processing, control integration.

Validate & QA/QC

Coverage checks, alignment validation, accuracy review.

Extract & Model

Feature extraction, classification, attribution, 3D modeling.

Engineering-Ready Outputs

CAD, GIS, BIM, point clouds, DTM/DSM, asset data.

APPLICATION AREAS

Geospatial Intelligence Across
Infrastructure Markets

Utilities / T&D

Transmission corridors, distribution networks, vegetation management and asset planning.

Transportation

Aerial mapping, roadside asset inventory and infrastructure condition documentation.

Broadband / Telecom

Fiber corridor mapping, telecom asset capture and route documentation.

Procegy / Oil & Gas

Plant as-builts, offshore imagery and pipeline corridor data.

Municipal / Public Sector

Drainage, public works and city asset inventory support.

Construction / Site Development

Site documentation, progress tracking and terrain modelling.

Environmental / Floodplain

Floodplain mapping, drainage studies, watershed analysis and terrain-driven planning.

WHY CS TECH AI

Built Around the Right Method, Reliable Execution and Usable Outcomes

4 Capture Methods

Aerial LiDAR, photogrammetry, mobile mapping and terrestrial laser scanning.

Mixed-Method Delivery

Multiple methods combined when one technology alone cannot provide complete coverage.

Engineering-Ready Outputs

Structured deliverables for CAD, GIS, BIM, asset management and engineering workflows.

QA/QC Discipline

Control-backed validation, coverage review and gap identification.

Complex Environment Capability

Experience across corridors, industrial sites, offshore platforms and hard-to-access environments.

Rapid Execution

Fast mobilization and turnaround supported by coordinated field and processing workflows.

PROVEN DELIVERY

Reality Capture in Action

Drainage Infrastructure Mapping

~800 Acres | Neighborhood + Pasture

Combined aerial LiDAR, mobile LiDAR and photogrammetry across mixed environments.

Read Case Study
Offshore Laser Scanning

~3,000 Scans | 17 Days | 4-Person Team

High-detail terrestrial capture across remote offshore platforms with strict access constraints.

Read Case Study
Telecom As-Built Capture & 3D Modelling

Recurring aerial + ground-based capture

Supporting telecom engineering with point clouds, 2D drawings and 3D as-built models.

Read Case Study