The company is committed to moving AI forward with large-scale open source. has raised more than $150 million in the Series C funding round led by Insight Partners and announced it will be participating from Mubadala Capital. As of July 2025, the company is operating profitably with over $150 million in annual revenue (ARR).
The news comes in a partnership with Databricks, The Data and AI Company, which was recently announced, shortly after Anaconda's newly launched AI platform. 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. 95% of Fortune 500 companies and over 10,000 large companies rely on Anaconda to effectively build and manage AI systems.
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Injecting capital becomes a pivotal moment as businesses move from isolated data science projects to building composite AI applications.
It becomes a crucial moment as businesses move from isolated data science projects to building composite AI applications, as they examine Anaconda's mission to enable organizations and builders to innovate their data through a unified open source ecosystem of coding languages that have become synonymous with AI development.
“As agents and combined AI systems gain traction, businesses 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 overlaying simplicity and security on AI in their enterprise landscapes. “As businesses move from specialized data science to generalized AI systems, we believe Anaconda is very suitable for this generation of change.”
As Python surpasses Java to become the world's most widely adopted programming language, Anaconda has announced the Anaconda AI platform to deliver trusted software packages, development environments, and AI tools. This comprehensive approach can increase the productivity of practitioners while saving company time, money and risk as companies navigate their AI journey. Looking ahead, Anaconda is positioned to grow beyond package management to become a comprehensive model hub where organizations can safely access and manage libraries, dependencies, and all AI building blocks, from models and datasets.
To support this expanded vision, Anaconda has strengthened its leadership team with veteran executives who bring deep expertise to scaling enterprise technology organizations. Laura Sellers has joined Chief Product and Technology Officer (CPTO), Jane Kim, Chief Commercial Officer (CCO), and Barry Russell as Senior Vice President of the Partnership. Together, they bring decades of experience in product innovation, revenue growth and strategic partnerships, placing anacondas to accelerate anaconda as companies move from isolated data science projects to building composite AI applications.
“Anaconda is uniquely located in the AI market and offers proven, curated and verified packages that will confidently accelerate deployment,” said a seller at CPTO Laura. “We want to expand the power of Python, nurture our community, and expand the incredible work our team has already done to provide individuals and business users with the choices and customizations they need to build and scale data science, machine learning and AI projects.”
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Capital will also be invested in new AI capabilities, strategic acquisitions, and global expansion into new Anaconda markets. Additionally, the funds provide liquidity options for current and former employees, driving the company's continued momentum and growth.
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