- Streamlit announced it has raised $21 million in Series A funding. These are the details.
Streamlit — the creators of the fastest and most powerful app framework for machine learning and data science — announced it has raised $21 million in Series A funding. This round of funding was co-led by GGV Capital and Gradient Ventures with additional participation from Bloomberg Beta, Elad Gil, Daniel Gross, and others.
In connection with the funding round Glenn Solomon (Managing Partner of GGV Capital) and Anna Patterson (Managing Partner at Gradient Ventures) have joined Streamlit’s board of directors.
“Apps are the communication medium of the 21st century,” said Streamlit co-founder and CEO Adrien Treuille. “There’s been a thirst in the data and machine learning communities to create rich apps that blend together data, models, visualizations, and business logic. Streamlit makes it effortless to create and share these complex apps. We’re excited to continue developing with the global Streamlit community and making the underlying technology more and more powerful and useful.”
Streamlit was launched in late 2018 with the mission of becoming the best platform for creating and sharing data science apps. Creating machine learning and data tools in existing app frameworks is prohibitively expensive and it requires front-end programming knowledge that many data scientists don’t have easy access to thus extending iteration cycles and time to market. Plus Streamlit solves these problems by enabling data scientists to build apps in Python, which is the fastest-growing programming language and the native language of machine learning and artificial intelligence.
The 200,000+ people who have already been built using Streamlit span everything from explanations of neural networks to product recommendation systems and they scale from small student projects to sophisticated apps in production at large companies.
Streamlit co-founders Amanda Kelly, Thiago Teixeira, and Adrien Treuile met in 2013 while working at Google X and they witnessed first-hand how a lack of access to tooling expertise was stymying the progress of machine learning and data science projects.
Key Quotes:
“My team found Streamlit to be the quickest way to spin up interactive dashboards on top of Python code. Streamlit democratizes using data, ” said.” We’re really excited about integrating Streamlit into our data tooling platform.”
– Koen Havlik, a Data Science leader at Uber
“Our data science team was working on a project that had the potential to change how we worked in our call center, and I challenged the team to create an app for the call centers to use. My team was able to show me a prototype in a matter of weeks, and we had it rolled out to all call centers within a couple of months. Streamlit was faster and more flexible than anything else we had tried, and it allowed our Data Science team to easily port existing work into the Streamlit application for visualizing our data. We now have several business cases for additional apps we are starting to develop with Streamlit.”
– Justin Lahullier, CIO at Delta Dental of New Jersey and Connecticut
“Streamlit is well-positioned to change the way machine learning data is used in organizations. We’re excited to continue working with Streamlit and see their open-source tool in the hands of all data scientists.”
– Anna Patterson, Managing Partner at Gradient Ventures
“Adapting quickly to new information and insights is one of the biggest challenges facing companies today. Streamlit is leading the way in helping data science teams accelerate time to market and amplify the work of machine learning throughout companies of all sizes across a wide variety of industries. At GGV we’re very excited to back this exceptional founding team and support their ambitious global growth plans.”
– Glenn Solomon, Managing Partner at GGV Capital
