Backend-as-a-Service for AI Agents

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.