HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
“It’s really snappy now, even with hundreds of thousands of data points in a project or across workspaces."
"[Label Studio] allows a quick learning curve via a user-friendly interface. It happens (very often) in a data science project that annotation is the work of experts in the field, …
“Training the annotators is what matters. The better they’re trained the higher the quality of the data and the faster we can produce the work.”
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