Anaconda AI Catalyst unlocks AI with an end-to-end open source suite. Anaconda inc. has introduced AI Catalyst, an enterprise-grade AI development suite built into the Anaconda Platform and powered by AWS, offering a complete ecosystem for creating, deploying, and managing AI applications. Now available to AWS customers, the suite provides transparent, governed, and scalable AI development. AI Catalyst debuts with a curated catalog of secure, vetted models, allowing organizations to discover, evaluate, compare, and run models within their own environment - helping minimize risk while strengthening governance and cost efficiency. With nearly all modern applications now built on open source, there is a growing gap between open-source innovation and enterprise security requirements. While developers want to build quickly, lengthy security, compliance, and legal reviews delay adoption. Even when those reviews are completed, security vulnerabilities, licensing issues, and performance problems inevitably emerge. As a result, development teams are at the mercy of security and compliance reviews and end up sinking time and resources into infrastructure setup and model optimization instead of building applications, stretching AI deployment timelines to weeks or months. Anaconda AI Catalyst unlocks enterprise AI development, starting with models - curated, open-source models that come with a robust AI Bill of Materials and comprehensive risk profiles for transparency and audit-ready oversight. Its controlled inference stack reduces third-party vulnerabilities, while dynamic evaluations identify model-specific risks like prompt injection attacks before they impact production. Model functionality supports local, cloud development, or production integrations that can run on CPU or GPU, ensuring developers have flexibility when it comes to model deployment within their organization's secure infrastructure. Optimized and benchmarked for enterprise use cases, these models save weeks of manual research and testing, enabling teams to move faster from prototype to production. Together, these capabilities allow enterprises to innovate with confidence, control, and speed. "Enterprises don't want just AI models - they want an end-to-end platform where they can confidently build, deploy, and govern AI applications," said Laura Sellers, Chief Product and Technology Officer at Anaconda. "With AI Catalyst, we're committed to setting a new standard for enterprise AI development by bringing Anaconda's curated, secure open-source ecosystem together with the scale and governance of our customer's own Amazon VPC. This is designed to eliminate weeks of manual model evaluation and dependency management, helping to ensure consistent security from experimentation through production and empowering teams to turn open source models into breakthrough AI applications and business outcomes faster." With AI Catalyst, enterprises can take advantage of: * Security from the bottom up - Extensive risk profiling capabilities and a secure inference server built using Anaconda's package distribution provides greater control over the inference stack from quantization to runtime. This significantly reduces third-party security vulnerabilities and supports verified model execution. * Customized governance - Custom policy controls allow organizations to establish governance rules based on individual model criteria, from security vulnerabilities and licensing terms to compute requirements and performance benchmarks. This ensures safeguards for projects to move efficiently without creating bottlenecks for practitioners. * AI transparency with comprehensive AI Bill of Materials - Ensures enterprises have a clear picture and risk profile for all of the top open source LLMs on the market. * Better performance at lower cost - Quantized models reduce compute resources while maintaining exceptional solution performance, enabling deployment on GPUs or CPUs depending on an organization's needs. * Flexible deployment - Models can be deployed across local development environments via command line interface (CLI) and Anaconda Desktop, or in cloud environments, giving teams multiple access methods to fit their workflows. Along with AI Catalyst, Anaconda announced two additional new capabilities within its Platform. Offered through Amazon Virtual Private Cloud, customers can now choose a self-hosted cloud implementation of the Anaconda Platform, which enables enterprises to operate a complete platform within their own secure, controlled environments on Amazon Web Services (AWS), preserving existing security postures and network boundaries. Anaconda also announced unified search functionality and expanded model access capabilities.The unified search provides users with a fast, intuitive discovery experience across all Anaconda products, eliminating context switching so developers can spend more time building and less time searching for resources. Additionally, users can now access AI Catalyst models through multiple deployment options: deploy to AWS cloud for GPU-enabled autoscaling endpoints, access via a CLI or download locally with Anaconda Desktop for on-device inference, giving teams the flexibility to run models wherever their workflows demand. "At Sutherland Global, we're transforming how we serve clients across financial services, healthcare, and telecommunications by integrating AI into our operations," said Dr. Iman Karimi, Global Head of Data Science at Sutherland Global. "Anaconda gives our data teams a trusted foundation to develop and deploy AI responsibly. We get the speed and flexibility to innovate while maintaining the enterprise security our business demands, allowing us to move confidently from experimentation to production."

Anaconda names David DeSanto as Chief Executive Officer. Former GitLab executive will accelerate Anaconda's commitment to help organizations advance AI innovation at enterprise scale with trusted, open source software, and infrastructure Austin, TX - October 16, 2025 - Anaconda, Inc., a leader in advancing AI with open source, today announced that its board of directors has appointed David DeSanto as Chief Executive Officer and to its board of directors. DeSanto brings more than 25 years of product and engineering experience to Anaconda and will guide the company as it empowers organizations to accelerate AI innovation while maintaining the security, compliance, scalability, and reliability enterprises need to be successful and meet governance requirements. Most recently, DeSanto served as Chief Product Officer at GitLab, where he led the global product organization to deliver a comprehensive AI-native DevSecOps platform, driving secure innovation for millions of developers worldwide. Throughout his six years of leadership at the company, DeSanto was instrumental in guiding the company from a promising startup to a publicly traded, industry-defining leader of the DevOps Platform category. Under his leadership, GitLab launched key initiatives including GitLab Duo, an AI-powered solution embedded into its DevSecOps platform spanning the entire software development lifecycle; GitLab Dedicated, a secure, single-tenant SaaS solution for regulated industries and the public sector; and natively integrated security and compliance into its DevSecOps platform, helping customers secure their software supply chain. The appointment comes as enterprises increasingly recognize the challenge of scaling AI initiatives, with industry research showing that 80% of AI projects fail - twice the rate of traditional IT projects - while 95% of generative AI pilot programs are failing to deliver meaningful results due to technical complexities and resource drains that overwhelm even well-funded teams. Despite Python powering the majority of AI development, these scaling challenges persist because organizations need infrastructure that preserves the Python environment, driving breakthrough discoveries while adding the integrity, performance, and governance required for enterprise AI. "David is a world-class leader who shares our customer obsession and commitment to the broader Anaconda community," said George Mathew, Managing Director at Insight Partners and Anaconda board director. "With his track record of building impactful AI products and scaling businesses, David is well-positioned to accelerate Anaconda's transformation and expand its role in helping enterprises unlock the full potential of AI. Under his leadership, Anaconda will continue building great products, supporting its community, and helping customers win." At Anaconda, DeSanto will lead innovation, strategy, and execution to help organizations build and deploy AI with confidence, enabling them to innovate faster and more securely at enterprise scale with full visibility and governance. His leadership will enable Anaconda to support technology and data executives - including CTOs, CIOs and Chief AI Officers - as they drive AI transformation, as well as practitioners like data scientists, AI developers, security teams, and platform engineering teams as they build increasingly sophisticated AI solutions. This is critical in today's rapidly evolving software ecosystem and a requirement for organizations to stay competitive within their market and industry vertical. "We believe Anaconda has a truly unique position in the software world," said DeSanto. "The company's AI platform not only simplifies and accelerates development with its ease of use and interoperability, but its powerful security risk management capabilities enable organizations to move fast while staying secure and meeting their stringent compliance requirements. I'm excited to extend Anaconda's impact across the AI development lifecycle and I look forward to working alongside this world-class team, our amazing community, and our incredible customers and partners to deliver the next chapter of innovation." Open source is the foundation of modern AI and data science, but it wasn't designed for enterprise complexity. Today's enterprises need a trusted partner that enables rapid AI innovation without compromising security or compliance while at enterprise scale. Earlier this year, the company unveiled the Anaconda AI Platform to address this growing divide between discovery and delivery, helping preserve the freedom of open innovation while ensuring every build, dependency, and environment is verified, optimized, and reproducible at scale. The company also recently announced a $150 million Series C funding round, fueling investment in AI innovation and enterprise growth, as well as a partnership with Databricks designed to bridge critical security and governance gaps in enterprise AI development. 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.

Anaconda, Inc. raised over $150 million in a Series C funding round led by Insight Partners, with Mubadala Capital participating. The funding supports Anaconda's role as a key Python distribution for AI systems, as enterprises transition to compound AI applications. Anaconda, with over $150 million in annual recurring revenue, plans to expand its AI platform, enhance its leadership team, and invest in new AI features and global expansion.