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Cyclomedia Tech Stack

Street-level mapping and AI analytics for city planning and utilities

Data Infrastructure and Analytics Zaltbommel (NL), Middleton, WI (USA), Wetzlar (GER) 201–500 employees Founded 1980 Privately Held

Cyclomedia operates mobile mapping fleets capturing petabytes of imagery and LiDAR data annually across Western Europe and North America, then transforms it into 360° street-level visualizations and AI-powered analytics. The tech stack is heavily weighted toward Esri (ArcGIS Pro, ArcGIS Online, ArcGIS Portal) and GIS infrastructure, reflecting a B2B2G model serving city governments and utility operators—not a horizontal SaaS play. Active hiring skews sales and senior roles while the org tackles internal-scaling challenges (procurement build-out, TA strategy, spend reporting), suggesting growth friction as field-data collection scales faster than back-office operations.

Tech Stack 14 technologies

Core StackArcGIS HubSpot Salesforce Dynamics 365 Python LiDAR GIS Azure QGIS FME Esri ArcGIS Pro ArcGIS Online ArcGIS Portal

What Cyclomedia Is Building

Challenges

  • Maximizing adoption of gis solutions
  • Identifying untapped potential
  • Underutilization risks
  • Building procurement function
  • Vendor consolidation
  • Achieving savings targets
  • Acquiring new customers in utility sector
  • Digitalization of utility operations
  • Improving customer productivity and trust
  • Reducing ux debt to improve product consistency

Active Projects

  • Modern gis and smart city solutions for cities and infrastructure
  • Building procurement function
  • Implement purchase order process
  • Build spend reporting dashboard
  • Pilot projects for utility digitalization
  • Demonstrations for utility digitalization
  • Street smart map-to-imagery navigation
  • High-frequency review workflows
  • Measurement and annotation experiences
  • Global ta strategy design

Hiring Activity

Accelerating9 roles · 8 in 30d

Department

Sales
3
HR
2
Design
1
Ops
1
Procurement
1
Support
1

Seniority

Senior
5
Junior
2
Lead
1
Mid
1

Notable leadership hires: Recruitment Lead

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About Cyclomedia

Cyclomedia captures street-level and aerial imagery using proprietary mobile mapping vehicles equipped with cameras, LiDAR scanners, and precision positioning systems. The raw data—collected at petabyte scale annually—is processed into 3D visualizations, panoramic imagery, and machine-learning-derived insights sold primarily to city governments, infrastructure operators, and utilities across North America and Western Europe. The company operates from three regional hubs (Netherlands, Wisconsin, Germany) and serves customers whose primary need is accurate, current environmental data to inform capital planning, asset management, and public-safety decisions. Distribution channels mix direct sales and specialist GIS channels (Esri ecosystem).

HeadquartersZaltbommel (NL), Middleton, WI (USA), Wetzlar (GER)
Company Size201–500 employees
Founded1980
Hiring MarketsPoland, United States, Germany

Frequently Asked Questions

What technology does Cyclomedia use for data analysis?

Cyclomedia's stack centers on Esri geospatial tools (ArcGIS Pro, ArcGIS Online, ArcGIS Portal, ArcGIS), QGIS, and cloud infrastructure on Azure. LiDAR and GIS form the analytical core; FME handles data transformation. CRM/sales ops run on HubSpot, Salesforce, and Dynamics 365.

What does Cyclomedia specialize in?

Cyclomedia specializes in mobile mapping, photogrammetry, LiDAR capture, and AI-powered content analysis. Core offerings include 360° street-level panoramic imagery, 3D reconstruction, and GIS-integrated analytics targeting smart-city and utility-sector decision-making.

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How this profile is built

Cyclomedia's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.