Independent Engineering & Technology Consulting

3D Reality Capture, Geospatial Engineering & Digital Twin Consulting.

Hackl Engineering supports organizations in planning, evaluating and integrating LiDAR, point cloud, robotics, digital twin and IT workflows for industrial and technical environments.

Services

Technical consulting at the interface of surveying, engineering, robotics, data processing and IT integration.

3D Reality Capture & Surveying

Consulting for terrestrial, mobile and UAV-based 3D scanning workflows, including LiDAR data acquisition, scan planning and point cloud evaluation.

Point Cloud & Digital Twin Workflows

Support for point cloud processing, quality assessment, data preparation, viewer systems, factory data workflows and digital twin integration.

Robotics & Autonomous Scanning

Evaluation and concept development for autonomous scanning systems, sensor integration, SLAM workflows and robotics-based data acquisition.

Engineering & IT Consulting

Technical analysis, requirements engineering, system comparison, process design, interface concepts and implementation support.

Software & Tool Evaluation

Assessment of mapping tools, point cloud viewers, data platforms, APIs, automation pipelines and technical vendor solutions.

Documentation & Decision Support

Preparation of technical documentation, feasibility studies, evaluation matrices, implementation roadmaps and stakeholder-ready reports.

Expertise

Practical experience across industrial 3D data acquisition, geospatial workflows, robotics, digital manufacturing and software-based integration.

  • LiDAR, mobile mapping, terrestrial laser scanning and UAV-based data acquisition
  • Point cloud processing, segmentation, quality control and completeness analysis
  • SLAM, localization, robotics, sensor integration and autonomous scanning concepts
  • Digital twin workflows, factory visualization, data platforms and API integration
  • Technical requirements engineering, process analysis and vendor evaluation

Approach

Clear technical analysis, transparent documentation and implementation-oriented recommendations.

1. Understand

Clarify use case, technical constraints, stakeholders, data requirements and operational context.

2. Evaluate

Compare systems, workflows, data quality, integration effort, risks and scalability.

3. Implement

Support practical setup, documentation, validation, handover and continuous improvement.

Contact

For consulting, technical evaluation, project support or freelance engineering services.