Total amount raised
$62 Millions
Latest funding date
4/1/2021
Location
Streamlit has successfully raised significant funding over multiple rounds, culminating in its acquisition by Snowflake for $800 million. The platform offers an open-source framework for creating and deploying data science applications.
Keep reading to explore the intricacies of Streamlit's fundraising journey and the investors backing this innovative platform.
What Is Streamlit?
Streamlit, founded in 2018, is an open-source app framework designed to simplify the creation and deployment of data science applications. Based in San Francisco, California, the platform enables data scientists and machine learning engineers to develop performant applications quickly.
The company was co-founded by Adrien Treuille, Amanda Kelly, Nodira Khoussainova, and Thiago Teixeira. Streamlit's tools allow users to turn data scripts into shareable web apps using pure Python, without requiring front-end experience.
With a team of 11-50 employees, Streamlit continues to innovate in the data science space, offering products like the Streamlit Open-Source App Framework, Community Cloud, and Streamlit Components.
How Much Funding Has Streamlit Raised?
- Angel Round
- Amount Raised: Not publicly disclosed
- Date: October 2018
- Lead Investors: Not publicly disclosed
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: Initial funding to kickstart the development of the platform.
- Seed Round
- Amount Raised: $6M
- Date: October 2019
- Lead Investors: Gradient
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To further develop the platform and expand the team.
- Series A
- Amount Raised: $21M
- Date: June 2020
- Lead Investors: Gradient, Notable Capital
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To scale the platform and enhance product offerings.
- Series B
- Amount Raised: $35M
- Date: April 2021
- Lead Investors: Sequoia Capital
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To scale the team, expand the platform, and bring the technology to leading enterprises.
Total amount raised: $62M. Current valuation: $800M.
Key Investors
- Sequoia Capital
- Details: Sequoia Capital is a leading venture capital firm known for investing in early and growth-stage companies. They have a strong track record of backing successful startups.
- Investment Focus Areas: Technology, healthcare, consumer services, enterprise software.
- Notable Investments: Apple, Google, LinkedIn.
- Gradient Ventures
- Details: Gradient Ventures is Google's AI-focused venture fund. They invest in early-stage startups leveraging artificial intelligence.
- Investment Focus Areas: Artificial intelligence, machine learning.
- Notable Investments: Algorithmia, Labelbox, Luminai.
- Notable Capital
- Details: Notable Capital is a venture capital firm that invests in innovative startups. They focus on companies with high growth potential.
- Investment Focus Areas: Not publicly disclosed.
- Notable Investments: Not publicly disclosed.
- GGV Capital
- Details: GGV Capital is a global venture capital firm. They invest in local founders across the U.S. and China.
- Investment Focus Areas: Consumer, internet, enterprise tech, smart tech.
- Notable Investments: Alibaba, Slack, ByteDance.
What's Next for Streamlit?
Streamlit's future looks promising with the introduction of Streamlit for Teams, a commercial product designed to revolutionize how data scientists deploy and share applications. This product aims to disrupt the $25 billion Business Intelligence market, offering significant growth potential. With over 14,000 GitHub stars and nearly two million downloads, Streamlit is already widely adopted by major companies like Apple, Ford, and Uber.
As Streamlit continues to expand its platform and team, future fundraising opportunities seem likely. The successful Series B round led by Sequoia Capital sets a strong precedent for potential future investments. However, the company will need to navigate challenges such as competition from other platforms and ensuring robust data security for enterprise clients.
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