Case Study: SomaDetect achieves scalable, high-quality data labeling and improved milk-quality AI with Labelbox

SomaDetect - Customer Case Study

SomaDetect builds IoT and computer‑vision products to help dairy farmers monitor milk quality and animal health, but their machine‑learning efforts were held back by complex open‑source labeling tools. The high barrier to entry for non‑CS employees, time‑consuming environment setup, and inconsistent annotations meant they needed a scalable, repeatable data‑labeling solution — so they turned to Labelbox.

Labelbox provided an enterprise data‑labeling platform and responsive support that simplified image segmentation (trainable in about five minutes), kept pace with evolving annotation formats, and enabled anyone in the company to contribute labels. As a result, SomaDetect reports saved time and money, higher‑quality annotations and continuous monitoring, faster onboarding of annotators, and improved model performance — outcomes they directly attribute to Labelbox.

SomaDetect

Bharath Sudarsan

Director of AI