Anaconda Inc., based in Austin, Texas, has unveiled the Anaconda AI Platform, a unified solution designed to centralize open-source AI development by streamlining sourcing, securing, building, and deploying AI systems. Recognized as an Enterprise Leader in G2’s Spring 2025 Report for Data Science and Machine Learning, the platform offers proven security and governance tools, enabling enterprises to build reliable AI systems efficiently. It integrates trusted distribution, simplified workflows, real-time insights, and governance controls, delivering secure enterprise Python solutions. With Python’s prevalence in AI programming, the platform provides a strategic advantage, enhancing productivity and reducing risk. The platform addresses challenges in managing open-source packages by offering essential security and compliance features, making it a critical tool for organizations leveraging open-source solutions to accelerate AI initiatives.
Anaconda Inc., the leader in advancing AI with open source, has launched the Anaconda AI Platform, positioning it as the only unified AI platform for open source that centralizes everything needed to source, secure, build, and deploy AI in an open source ecosystem. Recently recognized as an Enterprise Leader in G2’s Spring 2025 Report for Data Science and Machine Learning, the platform provides proven security and governance when leveraging open source for AI development, enabling enterprises to build reliable, innovative AI systems without compromising on speed, value, or flexibility.
As the only open-source AI platform, the Anaconda AI Platform combines trusted distribution, simplified workflows, real-time insights, and governance controls in one place to deliver secure and production-ready enterprise Python. With Python being the predominant language for AI programming, this integration gives users a significant advantage, resulting in greater productivity, reduced risk, and a clearer path to value.
Open-source solutions have gained significant traction, with 50% of data science practitioners leveraging open source and 66% of IT administrators reporting open-source software usage at their companies to accelerate AI initiatives and build more flexible technology ecosystems. However, managing open-source packages requires careful consideration of security, efficiency, and compliance challenges. The Anaconda AI Platform enables organisations to leverage open source as a strategic business asset, providing essential guardrails for responsible innovation while delivering documented ROI and enterprise-grade governance capabilities.
Peter Wang, Chief AI and Innovation Officer and Co-founder of Anaconda, emphasized that until now, there hasn’t been a single destination for AI development with open source, which forms the backbone of inclusive and innovative AI. The platform offers enterprises streamlined workflows, enhanced security, substantial time savings, and ultimately, choice—allowing enterprises to customize their AI journey with the first unified AI platform for open source, accelerating AI innovation and real-time insights.
The platform enables enterprises to build once and deploy anywhere safely and at scale. According to a recently commissioned Total Economic Impact™ Study conducted by Forrester Consulting, a composite organization representative of interviewed customers experienced a 119% ROI and $1.18M in benefits within three years, with improved operational efficiency (80% improvement worth $840,000) and enhanced security (80% reduction in time spent on package security management and a 60% reduction in security breach risk).
Jim Jenkins, Vice President and Information Security Officer at Vantage West Credit Union, highlighted how the Anaconda AI Platform has transformed their approach to AI development by providing enterprise-grade security controls without sacrificing innovation speed. As a financial institution facing stringent regulatory requirements, they’ve found Anaconda’s comprehensive vulnerability scanning and governance capabilities essential to their digital transformation journey.
The platform eliminates environment-specific barriers, enabling teams to create, innovate, and run AI applications across on-premise, sovereign cloud, private cloud, and public cloud on any device without reworking code for each target. Now available on AWS Marketplace for seamless procurement and deployment, the platform features trusted distribution with access to three times more open source packages, secure governance through Enterprise Single Sign-On, and actionable insights via centralized error tracking and logging.
Laura Sellers, Co-President and Chief Product and Technology Officer at Anaconda, noted that the platform addresses the evolving needs of their growing user base, which quadrupled to over one million customers last year. The company focuses on giving everyone the confidence and clarity needed to accomplish their data science and AI goals. Anaconda’s platform is trusted by 95% of Fortune 500 companies and 79% of the Global 2000, establishing itself as the gold standard for Python, data science, and AI with 21 billion downloads and growing.
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