Deploy. Map. Model.

The things people actually ask on the second call.

No marketing answers. If yours isn't here, write to us. We'll answer it the same way.

• Why drones instead of satellites or manned aircraft?

  Satellites give you a pixel; we give you an asset. At commercially available satellite resolution, you can see that something exists on the ground. You cannot resolve individual components, distinguish similar objects in a cluttered scene, or measure change at the unit level quarter over quarter. Manned aircraft solve resolution but are expensive enough that you fly a site every few years instead of every few weeks. Drones at scale are the only modality that delivers both centimeter-class resolution and an economic refresh rate.

• How is this different from existing aerial mapping companies?

  Most companies in this space sell orthomosaics, a stitched picture, and stop there. The customer is left to interpret it. Our product is the interpretation: structured records per asset, with confidence intervals, delivered into the systems where decisions actually get made. The picture is a byproduct.

• How do you handle so many different asset classes?

  The capture stack, the airframes, flight planning, and sensors, is constant across domains. What changes is the perception model: a stockpile, a tree stand, a solar array, and a transmission corridor each need a model trained on that geometry and its failure modes. We treat each new asset class as a model problem on top of a stable capture layer, which is how we move into new domains without rebuilding the pipeline.

• Do you actually fly the drones, or do I?

  Today, we fly. We operate a managed-service model with our own pilots, our own airframes, and our own ground crews so the data pipeline is end-to-end accountable. Self-serve capture is on the roadmap for customers who need it, with the analytics layer remaining the product.