xpander.ai - AI Agent Infrastructure

Can I deploy xpander agents on my own Kubernetes cluster instead of using their cloud?

Yes. xpander.ai supports both cloud deployment and self-hosted setup on your existing Kubernetes infrastructure. This means your agent workloads and data stay within your own environment, which matters for enterprises with strict data residency or security requirements.

Does xpander work with AI models from providers other than their own?

Yes, it is cloud-agnostic and model-agnostic, so you can choose your own model provider and cloud platform without lock-in. This flexibility lets you avoid dependency on a single vendor and swap providers if your needs change.

Can non-technical team members build agents without writing code?

Yes, through Agent Studio, a visual no-code builder that includes 2,000+ pre-built tools and integrations. Non-engineers can design and deploy custom agents for their workflows without requiring engineering resources, though complex use cases may still need developer input.

How does xpander handle sensitive data like personally identifiable information in agent operations?

It has built-in PII detection, prompt injection protection, and content moderation to prevent agents from leaking or mishandling sensitive information. Since xpander supports self-hosted deployment, your data never leaves your infrastructure, giving you full control over security and compliance.