build better
AI Agents

The AI Agent Builder platform that engineers love.
Any agent. Any use-case. Production-grade.

Get Started

Book a Demo

Build multi-step, multi-system AI Agents with the Agent Graph System

Connect AI Agents to anything

Step 1 Connect your AI agent to any system with Agentic Interfaces, or create your own

The xpander Agentic Interface is a new type of API which is enriched and adjusted for Agentic actions. Agentic Interfaces are located between your application and your AI Agent, and increase the accuracy of Agentic actions. You can also generate Agentic interfaces for your own custom systems and products in minutes using the built-in interface generator by providing details about your custom target system.

Step 2 Build an Action Graph System to guide your AI Agent through successful task execution

Using the AI Agent Builder, you build the Agent Graph System which will enforce correct execution for your AI Agent. The Graph System is automatically built and fully customizable, making it easy and fast to enforce the right behavior in multi-step and multi-system tasks.

Step 3 Run AI Agents on xpander or your own infrastructure

Use xpander Serverless AI Agents, or use the xpander SDK to put your AI Agent on a Graph System for reliable, accurate actions. Use the xpander SDK with any model and any AI Framework to enable reliable multi-task and multi-system actions.

01

Agent Graph System

The first-ever automatically generated graph, designed for building reliable AI Agents

Don’t waste time on manually constructing graphs for your agents. The xpander AI Agent Builder generates the Agent Graph System automatically according to Tools that are available to the agent, and inbound prompts. All you need to do then is customize and test the agent. The xpander agent runtime and SDK enforce the correct path traversal at every run.

Book a demo

frequently asked questions

The Agent Graph system is a unique concept in the xpander AI Agent eco-system that matches incoming prompts to a sequence of operations, guiding the agent’s behavior in real-time to traverse only a close world of API Operations and functions that are relevant for the current task. Each path within the graph corresponds to a specific task, helping agents make decisions and perform actions in a reliable and accurate way.

The Agent Graph system is built for complex, multi-step workflows by allowing agents to follow designated paths in response to user prompts. Each step represents a node within the graph, enabling agents to perform multiple operations consecutively, ensuring thorough and complete task execution.

Agentic Interfaces are pre-configured integrations with various SaaS and enterprise systems, enabling agents to connect seamlessly with target platforms. These interfaces save setup time, reduce integration complexity, and ensure that agents have immediate, reliable access to data across systems without extensive manual setup.

xpander.ai built novel technology that is able to receive data about a target system or API, and generate an enriched and AI-adjusted Interface for that system. Agentic Interfaces are generated by a team of AI Agents that enrich the data they received in order to apply best practices when generating a new Interface.

Absolutely. This is the strength of the Agentic Interface generator. We give you this technology as full self-service inside the platform. Simply supply relevant data about the target system you wish to connect to, and the Interface will be generated for you. You can use it to create Interfaces for your own custom software stack.

Yes, xpander.ai Agentic Interfaces are designed to integrate with both xpander-built agents and custom AI agents, allowing seamless communication with other systems. This flexibility supports integration with most AI Frameworks, or when using vanilla APIs from LLM inference providers.

No. You can use AI Gateways to keep the communication between your agent and your target systems within your VPC or other private environment.

The platform is designed to provide a comprehensive toolkit for building, deploying, and managing AI Agents. For xpander’s serverless AI Agents, engineers typically don’t need additional tools, as xpander handles the infrastructure, scaling, and runtime environment, allowing agents to run fully on xpander’s infrastructure without any additional setup.

For self-hosted, custom AI Agents, engineers may need tools based on their specific requirements. You can use any LLM Inference provider, AI Framework, or other tools required by your AI Agent.