Anaconda Raises $150M In New Funding, Expands Management Ranks

With the new Series C funding Anaconda, a major player in the AI and Python development arena, achieves “unicorn” status with a market value of around $1.5 billion.

Anaconda has raised more than $150 million in a Series C funding round that boosts the AI and development platform provider’s market valuation to around $1.5 billion, the company said Thursday.

Anaconda, headquartered in Austin, Texas, also disclosed that it “operates profitably” with more than $150 million in annual recurring revenue as of this month.

The funding round was led by Insight Partners with participation from Mubadala Capital.

Anaconda is a leading provider of AI and data science development platforms and tools. The company is best known for its open-source Anaconda platform for building, deploying and managing applications built using the popular Python and R programming languages.

In May Anaconda made a major move into the AI development space with the launch of its Anaconda AI Platform, a unified open-source system that the company said provides a comprehensive system for streamlining machine learning workflows and building, training and deploying machine learning models. The platform provides simplified development and governance controls to boost practitioner productivity and reduce organizational risks associated with open-source AI development, according to the company.

In June Anaconda announced a go-to-market partnership with data and AI heavyweight Databricks and native integration with the Databricks platform. And earlier this month the company moved to expand the capabilities of its open-source “conda-build” package development tool through a strategic initiative with German development tools provider Prefix.dev.

In its funding announcement Anaconda said the $150 million capital infusion comes at “a pivotal moment” as businesses and organizations are shifting from isolated data science projects to building compound AI applications.

Amidst the AI wave Anaconda is positioning itself “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, the company said in the announcement.

Anaconda said the new capital will be invested in new AI features, strategic acquisitions and to fuel Anaconda’s global expansion. The funding also offers “liquidity options for current and future employees” as needed to maintain the company’s growth.

In another move to support its growth ambitions, Anaconda said it had Laura Sellers as chief product and technology officer, Jane Kim as chief commercial officer and Barry Russell as senior vice president of partnerships.

“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,” said George Mathew, managing partner at Insight Partners, in a statement. “As enterprises move from specialized data science to generalized AI systems, we believe Anaconda is incredibly well-positioned for this generational shift.”