xpander.ai lets enterprise teams build, deploy, and manage custom AI Agents with State, Tools and integrations, no need to stitch together tools or infra
xpander.ai is an AI Agent platform built for enterprise developers to build, test, and deploy AI Agents with speed and confidence. The platform includes the AI Agent Workbench - a visual environment to define multi-agent collaboration, attach tools, define and iterate on instructions, integrate their AI Agents to enterprise systems, and more. Developers can quickly simulate interactions between agents, observe state transitions, test tool usage, and debug agent handoffs - all before deploying to production.
The platform includes:
AI Agent Workbench - a unique DevEx for building, configuring, testing and deploying AI Agents.
Visual testing and simulation of multi-agent behaviors
Built-in observability, monitoring, and lifecycle management
Deployment options in xpander-cloud or your own VPC
Role-based access control and scoped API access
xpander.ai is designed for AI Agent dev teams who want to build reliable, governable AI agent systems - fast.
Highlights
Accelerate AI Agent development with the AI Agent Workbench - designed for building, testing and deploying AI Agents
Connect AI Agents to any enterprise or SaaS system via fully managed tool calling
Equip custom AI Agents built with any framework with state machines, tools, integrations, multi-agent collaboration, and more
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing dimension: access to the AI Agent platform, billed as a contract commitment measured in units. You buy access to a single control plane that manages the agent lifecycle from creation through production. Pricing is not split into tiers or instance sizes. Instead, you commit to platform access under a contract term, with quantity set by the number of units you select. The unit count is how your commitment scales, rather than separate charges for specific features, runtimes, or usage add-ons.
Top-of-mind questions for buyers
What does one unit of platform access give me?
A unit buys access to the control plane that manages the agent lifecycle. This includes the agent registry, connector and MCP registry, policy engine, runtime profiles, model and budget controls, plus observability and audit logs. The unit measures your committed platform access rather than a specific server, seat, or agent count.
Does buying platform access limit where or how many agents I can run?
The platform lets you connect private systems, define Kubernetes runtimes, and run agents across cloud environments or self-hosted setups. You govern each agent's permissions, spend, and runtime resources like CPU, memory, and GPU. The listing does not split these capabilities into separate charges, so they are governed under your platform access commitment.
How does my cost change as I add more agents or workflows?
Your commitment scales by the number of units you select, not by counting individual agents, runs, or workflows. The platform supports agentic apps, background workflows, and in-product AI features under the same access. Contact the vendor to confirm how unit count maps to your expected agent volume.
Request a private offer to receive a custom quote.
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A fully functional AI Agent that completes coding tasks for you via a cloud-hosted OpenAI Codex instance - you don't have to worry about infrastructure, scale, triggering, or sandboxing. The AI Agent also has access to GitHub, in order to create Pull Requests when done with coding tasks.
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