Best Agentic AI Platforms for Domino Enterprise AI Platform

Anaconda empowers businesses to develop, secure, and operate AI agents while maintaining control over their models, data, and expenses. Kilo by Anaconda actively engages agents in tasks such as planning, constructing, debugging, reviewing, and deploying within environments like VS Code, JetBrains, the terminal, and Kilo Desktop. It boasts an extensive library of over 500 models and utilizes smart routing techniques. With a user base exceeding 5 million developers, Kilo processes around 10 trillion tokens monthly. Enkrypt AI by Anaconda conducts red-team assessments on agents and MCP connections prior to deployment, manages the accessibility of tools and data for each agent, and implements runtime safeguards. Additionally, AI Artifacts provides reliable MCPs and curated models, while AI Orchestration facilitates the transition of agent-driven workflows into production, complete with tracking for lineage and costs.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.