At Numtech, we focus solely on turning raw LiDAR, imagery and survey data into accurate, decision-ready deliverables.
We prepare you for every stage of your project. While other providers charge extra for scoping and planning, Numtech provides project assessments and workflow planning at no additional cost.
Numtech employs a highly trained team of geospatial experts specializing in GIS strategy, LiDAR processing, and photogrammetric production. Our team has delivered citywide, countrywide and regional mapping projects around the world.
No two datasets or project requirements are the same. Every workflow we build is created from scratch by our team to match your specific classification, accuracy and deliverable requirements.
Sound expensive? It usually saves money — you only pay for the processing, classification and deliverables your project actually needs, scaled to the size of your dataset.
From a single survey to an ongoing data pipeline, our team scales with your project.
Data handling requirements vary by client and industry. We identify your specific security needs and build our process to match them.
No matter the size of the dataset or the deadline, your project has a dedicated point of contact who understands your requirements.
A real member of our team who understands your project — not an automated queue. This comes with every engagement at no extra cost.
We hold ourselves to strict quality control standards, so your deliverables meet the accuracy specifications your project needs the first time.
You have complete access to your raw data and finished deliverables at every stage. It's your data — we're simply here to help you get the most out of it.
We identified an increasing need from organizations around the world for a reliable partner who could turn dense point cloud and imagery data into usable, accurate deliverables. Geospatial data is only as valuable as the accuracy behind it — so that's the one thing we focus on getting right.
Every project is different, and in order to deliver real value the workflow has to be tailored to it. That's why we customize our processing approach to every dataset — from classification rules to final deliverable format — rather than forcing your project through a generic pipeline.
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