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Anaconda Secures Over $150M in Series C Funding to Power AI for the Enterprise

Insider Brief

  • Anaconda has raised over $150 million in a Series C round led by Insight Partners, bringing its ARR to $150M+ and supporting its push into AI platform development and global expansion.
  • With over 50 million users and 21 billion downloads, Anaconda is a leading Python distribution platform now evolving into a comprehensive AI hub for enterprises building compound AI applications.
  • The company is enhancing its leadership team, investing in new AI features, and deepening partnerships — including with Databricks — to meet rising enterprise demand for secure, scalable open source AI solutions.

PRESS RELEASE — Anaconda, Inc., the company committed to advancing AI with open source at scale, announced that it raised over $150M in a Series C funding round led by Insight Partners, with participation from Mubadala Capital. The company operates profitably with over $150M in annual recurring revenue (ARR) as of July 2025.

This news comes on the heels of Anaconda’s newly launched AI Platform as well as a recently announced partnership with Databricks, the data and AI company. Since its founding in 2012, Anaconda has been one of the most trusted and widely used Python distribution platforms, with over 21 billion downloads and 50 million users. Today, 95% of Fortune 500 companies and more than 10,000 large enterprises rely on Anaconda to build and manage AI systems effectively.

The infusion of capital comes at a pivotal moment as enterprises shift from isolated data science projects to building compound AI applications, validating Anaconda’s mission to empower organizations and builders to innovate with data through a unified open source ecosystem for enterprise Python — the coding language that has become synonymous with AI development.

“As agents and compound AI systems gain traction, companies need a foundational platform to effectively manage key open source artifacts and components to drive fast, scalable innovation. Anaconda takes this a step further by layering simplicity and security to AI in enterprise landscapes,” says George Mathew, Insight Partners Managing Director. “As enterprises move from specialized data science to generalized AI systems, we believe Anaconda is incredibly well-positioned for this generational shift.”

As Python surpassed Java to become the most widely adopted programming language in the world, Anaconda unveiled the Anaconda AI Platform to deliver trusted software packages, development environments, and AI tools, along with simplified workflows, secure AI capabilities, and actionable insights. This comprehensive approach can boost practitioner productivity while saving enterprises time, money, and risk as they navigate their AI journey. Looking ahead, Anaconda is positioned to grow beyond package management to become a comprehensive model hub where organizations can securely access and manage all their AI building blocks, from models and datasets to libraries and dependencies, all purpose-built for Python development.

To support this expanded vision, Anaconda has strengthened its leadership team with seasoned executives who bring deep expertise in scaling enterprise technology organizations. Laura Sellers has joined as Chief Product and Technology Officer (CPTO), Jane Kim as Chief Commercial Officer (CCO), and Barry Russell as Senior Vice President of Partnerships. Together, they bring decades of combined experience in product innovation, revenue growth, and strategic partnerships, positioning Anaconda to accelerate its mission as enterprises shift from isolated data science projects to building compound AI applications.

“Anaconda is uniquely positioned in the AI market, providing proven, curated, and verified packages that accelerate deployments with confidence,” said CPTO Laura Sellers. “I’m eager to expand on the great work the team has already done to extend the power of Python, foster community, and offer the choice and customization that individual and enterprise users need to build and scale data science, machine learning, and AI projects.”

Capital will also be invested in new AI features, strategic acquisitions, and to fuel Anaconda’s global expansion into new markets. Additionally, the funding will offer liquidity options for current and former employees, driving the company’s continued momentum and growth.

About Anaconda

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

About Insight Partners

Insight Partners is a global software investor partnering with high-growth technology, software, and Internet startup and ScaleUp companies that are driving transformative change in their industries. As of December 31, 2024, the firm has over $90B in regulatory assets under management. Insight Partners has invested in more than 800 companies worldwide and has seen over 55 portfolio companies achieve an IPO. Headquartered in New York City, Insight has offices in London, Tel Aviv, and the Bay Area. Insight’s mission is to find, fund, and work successfully with visionary executives, providing them with tailored, hands-on software expertise along their growth journey, from their first investment to IPO. For more information on Insight and all its investments, visit insightpartners.com or follow us on X @insightpartners.

Contacts

Alison Smith
alsmith@anaconda.com

SOURCE

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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