Enterprises are rapidly adopting AI agents, but managing and governing this growing number has become a major challenge. Gartner predicts Fortune 500 companies will use over 150,000 AI agents by 2028, yet only 13% feel prepared with the right governance. Xpander.ai, a startup founded by ex-AWS engineers, addresses this by offering a vendor-neutral control plane that helps companies run and govern AI agents across different platforms without rebuilding infrastructure for each new agent.
Xpander’s platform includes a Universal Harness—a flexible, agnostic runtime supporting various AI models, frameworks, and cloud environments. It offers centralized governance features like permissions, audit trails, credential handling, and multi-user workflows under “Multiplayer AI.” The solution supports both hosted and self-deployed models, with a pricing model based on agent activity.
This approach lets companies avoid vendor lock-in by controlling permissions, monitoring, and execution themselves, while still leveraging popular AI models. Xpander’s offering competes with services like LangChain, CrewAI, and Temporal but differentiates by combining framework independence, enterprise-grade governance, collaboration, and runtime infrastructure in a single platform.
As AI agents become integral in enterprises, Xpander aims to give organizations control and transparency over their AI ecosystems, making agent management more collaborative and secure without sacrificing flexibility or innovation.
