Streamlit, a San Francisco, CA-based creator of an app framework for machine learning and data science, secured $21m in Series A funding.
The round was co-led by GGV Capital and Gradient Ventures, with participation from Bloomberg Beta, Elad Gil, Daniel Gross and others. In conjunction with the funding, Glenn Solomon, Managing Partner of GGV Capital, and Anna Patterson, Managing Partner at Gradient Ventures, joined Streamlit’s board of directors.
The company intends to use the funds to accelerate the development of its software platform.
Founded in late 2018 by Amanda Kelly, Thiago Teixeira, and Adrien Treuile, Streamlit provides an app framework for machine learning and data science. It enables data scientists to build apps in Python, the programming language and the native language of machine learning and artificial intelligence.
The 200,000+ developers who have already been built apps using Streamlit span everything from explanations of neural networks to product recommendation systems, scaling from small student projects to complex apps in production at large companies. The company released its open source project for creating apps late last year, and later this year will release Streamlit for Teams, its platform for deploying and sharing those apps.