Learn and BeCurious
- Streamlit’s open-source app framework takes data to another level by including artificial intelligence and machine learning with a goal of building predictive models in a new way.
- Gradient Ventures and GGV Capital co-led the San Francisco-based startup’s $21 million Series A round of funding. Also participating in the new funding were Bloomberg Beta, Elad Gil and Daniel Gross.
- The Series A brings Streamlit’s total funding raised to $27 million since it was founded in 2018.
- Part of this new round of funding will help drive Streamlit for Teams, a new product offering that will help enterprise companies deploy the platform quickly and easily.
- Also the company also plans to triple its headcount from 10 in the next two years, focusing on product software.
Streamlit wants to revolutionize building machine learning and data science applications, scores $21 million Series A funding | ZDNet
Streamlit Raises $21M in Series A Funding | FinSMEs
Streamlit raises $21 million for a framework that simplifies AI app development
Streamlit Raises $21M in Series A Funding From GGV Capital and Gradient Ventures to Amplify the Impact of Data Science and Machine Learning