Case Study: HumanSignal achieves faster data discovery with Milvus from Zilliz

HumanSignal Offers Faster Data Sourcing & Labeling with Milvus and AWS

HumanSignal, the company behind the popular open-source data labeling platform Label Studio, faced a significant challenge in helping its users sort through massive data lakes to find the most relevant data to label. This slow and manual process was a major bottleneck for AI development. To address this, they turned to the vendor Zilliz and its vector database, Milvus, to build a new Data Discovery feature.

By implementing Zilliz's Milvus on AWS, HumanSignal enhanced its platform with super-low latency semantic search and faster, more reliable image indexing. This Zilliz solution provided a scalable platform for vector data storage, which streamlined the data labeling process for users and significantly improved the quality of training sets for machine learning models.

HumanSignal