Teren Processing Engine

The Future Belongs to Those Who Are Fast

Transforming 3D & 4D data into intelligence with speed and certainty requires competencies that the remote sensing and analysis industries have been missing — until now.

Teren utilizes the world’s first cloud-based geospatial high-performance computing engine to process complex airborne and satellite remotely-sensed data faster than anyone.

Leveraging modern data science and earth sciences expertise, we’ve automated  feature classification to deliver highly accurate 3D & 4D data in hours (rather than months).

3D & 4D Data Processing Engine

Teren accelerates the remote sensing and analysis industries’ path to delivering customer value with a new standard for 3D data processing at speed and scale.

  • Infinitely scalable to meet the needs of any workload and timeline
  • Fully classified, analysis-ready datasets generated within hours for 10,000+ sq mi
  • Trusted, proven performance in civil, infrastructure, and government markets
Learn More
teren-analytics
Teren Point Cloud Data

High-Density Point Cloud Data

Teren 4Band Imagery

High-Resolution 4-Band Imagery

Teren Digital Surface Model

High-Fidelity Digital Surface Model

Teren Digital Terrain Data

Temporal Digital Terrain Model

Why Teren?

Reduce Time | Reduce Labor | Reduce Costs
Don’t take our word for it!

Case Study: Reduce IT Overhead and High Costs

High-fidelity LiDAR results in a lot of data, meaning clients are required to store, manage, and analyze enormous data sets that can bog down computers and people. 

Before Teren, a client was receiving roughly 70TB of Raw Data per LiDAR collection which costs an estimated $400,000 in infrastructure, software and labor. It took 30 hours to process only 3 square miles. 

With Teren, the client was able to reduce storage requirements by 7X — eliminating a 500TB data management burden. They eliminated the $400,000 in infrastructure and labor costs, and were able to process data in 20 minutes.

Teren Case Study Data

We work with companies who have the greatest opportunity to drive climate change resilience.

Request a Demo