Anaconda Unlocks AI for the Enterprise with Comprehensive AI Development Suite

Anaconda Inc., the leader in advancing AI with open source, today launched AI Catalyst, an enterprise AI development suite within the Anaconda Platform, powered by AWS, that will deliver an end-to-end ecosystem for building, deploying, and governing AI applications. 

Available now for AWS customers, enterprises benefit from transparent, governed, and optimized AI development at scale. AI Catalyst launches with a curated model catalog of secure, vetted AI models to enable organizations to discover, select, test, compare, and run models in their own environment, reducing unknown risks and improving 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.”