HumanSignal 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…
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HumanSignal enables data science teams to build AI with their company DNA.
Full company description
HumanSignal 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.
LinkedIn followers
4,906
People associated on LinkedIn
78
Reported office locations
San Francisco, California 94103, US
Business categories
Artificial Intelligence
Software
Data Collection and Labeling
Artificial Intelligence (AI)
Machine Learning
AI Infrastructure
Open Source
Other recorded names
HumanSignal
Specialties
MachineLearning
DeepLearning
AI
DataLabeling
DataScience
and GenerativeAI
Profile identifies a recruitment agency
No
Reported total investment
29,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
HumanSignal: HumanSignal enables data science teams to build AI models with their company DNA.
Candidates need a smartphone or camera with solid image quality, careful attention to instructions, and self-motivation. No prior experience is needed, only enthusiasm and a keen eye for detail.