Anaconda, Inc. announced it has secured more than $150 million in Series C funding, led by Insight Partners with support from Mubadala Capital. As of July 2025, the company is profitable and reports over $150 million in annual recurring revenue (ARR).
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.
To learn more about how Anaconda can build and manage AI Systems effectively, visit the website here.
