Best Agentic AI Platforms for Azure Data Science Virtual Machines

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.