Case Study: Raptor Maps reduces time-to-model by 83% with V7 Darwin

How Raptor Maps Uses V7 to Reduce Time-to-Model by 83%

Raptor Maps, a Series B scale-up in the energy sector, builds software for autonomous solar mapping and solar site inspection. As its in-house data labeling tool became outdated and could no longer support more advanced workflows, the team needed a scalable training data platform to speed up annotation of large drone-footage datasets and reduce the long build-vs-buy bottleneck in model development.

Using V7 Darwin’s data annotation toolkit, auto-annotation, model-in-the-loop features, automated workflows, and labeling services, Raptor Maps streamlined human-in-the-loop operations and moved labeling work off its internal team. With V7, the company cut time-to-model from about 12 months to 4–8 weeks, an 83% reduction, while also lowering operational costs and helping prototypes reach customers much faster.

Raptor Maps

Eddie Obropta

Co-founder & CTO