HumanSignal

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HumanSignal, formerly known as Heartex, provides a data labeling platform for ML operations called Label Studio. The platform supports a wide range of AI use cases, including natural language processing, computer vision, audio, and time series. It connects data from any source, organizes and curates unstructured data in a single catalog, and provides tools to explore data using natural language (semantic) search and advanced filters.

Developers can use the platform to pre-label samples in order to speed up and simplify manual labeling and auto-label samples based on model predictions. It also facilitates active learning for precise data labeling. In addition, developers can manage and collaborate on data labeling projects and communicate with subject matter experts and reviewers through the platform.

Moreover, the company introduced an open-source framework for autonomous data labeling agents called Adala, which improves and accelerates the data labeling process with the help of AI agents. These agents learn and improve at data tasks, such as classification and labeling, when provided with ground truth datasets and become prediction engines that can apply data labeling to unlabeled datasets.

The platform is available as a free and open-source plan, with restrictions on the number of user accounts and functionality, as well as an enterprise plan.

Key customers and partnerships

Its platform is used by over 250,000 customers, as of October 2023, and notable customers include Geberit, Outreach, Trivago, and Zendesk.

Funding and financials

In May 2022, the company raised USD 25 million in a Series A funding round led by Redpoint Ventures. The funds were to be used to further develop its platform in areas such as labeling automation, bias detection and mitigation, and additional quality management and analytics capabilities.

HQ location:
San Francisco CA USA
Founded year:
2019
Employees:
11-50
IPO status:
Private
Total funding:
USD 30.0 mn
Last Funding:
USD 25.0 mn (Series A; May 2022)
Last valuation:
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