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

Raptor Maps reduces time-to-model by 83% with V7 Labs

Raptor Maps, a provider of an integrated operating system for the solar industry, faced significant bottlenecks in its machine learning development. Their outdated in-house data annotation tool extended their time-to-model to a year, hindering their ability to quickly deliver new AI-powered inspection solutions to their customers. To overcome this, they sought a modern training data platform and partnered with V7 Labs, utilizing its V7 Darwin platform for data annotation and automated workflows.

By implementing V7's solution, which included its annotation toolkit and labeling services, Raptor Maps drastically streamlined its processes. The results were substantial, reducing their average time-to-model from 12 months to just 4-8 weeks, an 83% improvement. This acceleration allowed V7's customer to deploy prototypes faster, advance their research into continuous robotics, and build stronger customer relationships by delivering solutions more cost-effectively.

Raptor Maps