Surveying.ai

Where surveying systems are tested, not marketed.

Surveying.ai exists to evaluate what actually works in the field — where accuracy, precision, effort, cost, and risk all have to coexist under real operational constraints.

This is not about theoretical perfection or spec-sheet performance. It’s about understanding trade-offs clearly enough to make defensible, real-world decisions.

Every conclusion here is backed by data I’m willing to share.

What this is

Surveying.ai is an independent platform for benchmarking and evaluating surveying and mapping systems as they are actually used.

• Comparative benchmarking of LiDAR, GNSS, IMU, and mapping workflows
• Evaluation across accuracy, precision, robustness, ease of use, and value
• Exposure of hidden failure modes that rarely appear in demos
• Clear explanation of why clean data looks clean — and why bad data often hides well

All analysis is grounded in data I’ve personally collected, processed, and scrutinized.

How this work is approached

Perfect tools used imperfectly fail all the time. Imperfect tools used consistently often succeed.

Most real-world failures don’t come from lack of precision. They come from timing errors, misunderstood limitations, brittle workflows, and assumptions of ideal conditions.

The goal here is not to chase tighter numbers — it’s to reduce unknowns.

Who this is for

• Surveyors and engineers accountable for outcomes, not just deliverables
• Mapping professionals evaluating sensors, platforms, or workflows
• Decision-makers weighing “best”, “simplest”, and “most defensible” options
• Manufacturers who care how systems behave outside controlled environments

This is not an introductory resource, and it is not optimized for volume.

Related work

LiDAR.news — quiet commentary on industry shifts, second-order effects, and emerging patterns.
shop.surveying.ai — occasional, highly selective equipment I’ve personally tested and trust.