Total amount raised
$62 Million
Latest funding date
4/1/2021
Location
Streamlit has successfully raised funding over four rounds, with the latest being a Series B round led by Sequoia Capital. The platform is designed to help users build and share data applications quickly and easily using Python.
Keep reading to explore the intricacies of Streamlit's fundraising journey and the investors backing this innovative platform.
What Is Streamlit?
Streamlit is an open-source app framework designed for creating and deploying data science applications. The company operates in various industries, including analytics, AI, big data, developer tools, machine learning, and software. It is based in San Francisco, California, and has an employee count ranging from 11 to 50.
Streamlit has been acquired by Snowflake and has raised funding through multiple rounds, with significant investments from firms like Sequoia Capital and Gradient Ventures. The platform is praised for its simplicity, flexibility, and speed, allowing users to turn data scripts into shareable web applications quickly and easily using pure Python.
How Much Funding Has Streamlit Raised?
- Series B
- Amount Raised: USD 35,000,000
- Date: April 2021
- Lead Investors: Sequoia Capital
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To continue scaling the team, expanding the platform, and bringing the technology to leading enterprises.
- Series A
- Amount Raised: USD 21,000,000
- Date: June 2020
- Lead Investors: GGV Capital, Gradient
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To accelerate product development and expand market reach.
- Seed
- Amount Raised: USD 6,000,000
- Date: October 2019
- Lead Investors: Gradient
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To build the initial product and validate market demand.
- Angel
- Amount Raised: Not publicly disclosed
- Date: October 2018
- Lead Investors: Not publicly disclosed
- Valuation at Round: Not publicly disclosed
- Motivation Behind the Round: To fund early-stage development and operations.
Total Amount Raised: USD 62,000,000. Current Valuation: Not publicly disclosed.
Key Investors
- Sequoia Capital
- Details: Sequoia Capital is a leading venture capital firm that invests in early and growth-stage companies. It has a history of backing successful companies across various sectors.
- Investment Focus Areas: Technology, healthcare, consumer services, financial services
- Notable Investments: Apple, Google, Oracle
- GGV Capital
- Details: GGV Capital is a global venture capital firm that invests in seed-to-growth stage companies. The firm focuses on sectors like consumer/new retail, social/internet, enterprise/cloud, and frontier tech.
- Investment Focus Areas: Consumer/new retail, social/internet, enterprise/cloud, frontier tech
- Notable Investments: Alibaba, Slack, Square
- Gradient Ventures
- Details: Gradient Ventures is Google's AI-focused venture fund that invests in early-stage startups. The fund provides portfolio companies with access to Google's resources and expertise in artificial intelligence.
- Investment Focus Areas: Artificial intelligence, machine learning
- Notable Investments: Algorithmia, Labelbox, Luminai
What's Next for Streamlit?
Streamlit's future looks promising with the launch of Streamlit for Teams, a commercial product that allows data scientists to deploy and share apps with various stakeholders. This product has the potential to disrupt the $25 billion Business Intelligence market, leveraging its open-source and developer-first approach. The platform's significant traction, with over 14,000 GitHub stars and nearly two million downloads, indicates a large user base and substantial market interest.
Given the successful Series B funding and the involvement of prominent investors like Sequoia, Gradient Ventures, and GGV Capital, Streamlit may pursue additional funding rounds to further scale its operations and expand its market reach. However, the company will need to address challenges such as ensuring enterprise-grade data security, maintaining a balance between low code and customizability, and competing with established players in the Business Intelligence market.
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