Case Study: Azavea achieves scalable, high-quality geospatial training data and social impact with CloudFactory

Azavea and CloudFactory Partners on Quality Training Data and Social Impact

Azavea, a Certified B Corporation that builds geospatial technology for civic and social impact, faced a persistent bottleneck: a shortage of high-quality labeled training data for satellite, drone, and aerial imagery that limited their machine‑learning throughput. To scale beyond initial in‑house labeling and find a partner aligned with their values, Azavea selected CloudFactory for data labeling services.

CloudFactory provided a consultative, long‑term labeling partnership—using Azavea’s in‑house annotation tool, maintaining daily contact through project leads (including teams in Nepal), advising a larger team of part‑time annotators to reduce fatigue and boost quality, and offering hour‑based pricing for predictable scaling. As a result, CloudFactory removed Azavea’s training‑data bottleneck, delivered more consistent, higher‑quality annotations, and enabled faster ML development with predictable costs and continual tooling feedback.

Azavea

Joe Morrison

Imagery Analysis