The Enterprise Platform for
in-house
AI Agents
Enterprise Platform for
in-house AI Agents
Enterprise Platform for
in-house AI Agents
Let every team build AI agents that automate internal workflows. Self-hosted, governed centrally, production-ready.
Let every team build AI agents that automate internal workflows. Self-hosted, governed centrally, production-ready.
Let every team build AI agents that automate internal workflows. Self-hosted, governed centrally, production-ready.
The Enterprise Platform for
in-house
AI Agents
Let every team build AI agents that automate internal workflows. Self-hosted, governed centrally, production-ready.
AI Agent Infrastructure for Enterprises
Data teams got Airflow. ML teams got Kubeflow. Internal AI teams get xpander.
AI Agent Infrastructure for Enterprises
Data teams got Airflow. ML teams got Kubeflow. Internal AI teams get xpander.
AI Agent Infrastructure for Enterprises
Data teams got Airflow. ML teams got Kubeflow. Internal AI teams get xpander.
AI Agents Across Your Organization
Developers build with LangChain, CrewAI, Autogen, or custom code. Operations teams and domain experts build visually. One platform for both, governed centrally.
AI Agents Across Your Organization
Developers build with LangChain, CrewAI, Autogen, or custom code. Operations teams and domain experts build visually. One platform for both, governed centrally.
AI Agents Across Your Organization
Developers build with LangChain, CrewAI, Autogen, or custom code. Operations teams and domain experts build visually. One platform for both, governed centrally.
Kubernetes-Native AI Agent Deployment
Deploy AI agents into your existing Kubernetes clusters with your CI/CD pipelines. xpander inherits your security policies, network config, and compliance controls.
Kubernetes-Native AI Agent Deployment
Deploy AI agents into your existing Kubernetes clusters with your CI/CD pipelines. xpander inherits your security policies, network config, and compliance controls.
Kubernetes-Native AI Agent Deployment
Deploy AI agents into your existing Kubernetes clusters with your CI/CD pipelines. xpander inherits your security policies, network config, and compliance controls.
AI Agent Infrastructure for Enterprises
Data teams got Airflow. ML teams got Kubeflow. Internal AI teams get xpander.
AI Agents Across Your Organization
Developers build with LangChain, CrewAI, Autogen, or custom code. Operations teams and domain experts build visually. One platform for both, governed centrally.
Kubernetes-Native AI Agent Deployment
Deploy AI agents into your existing Kubernetes clusters with your CI/CD pipelines. xpander inherits your security policies, network config, and compliance controls.
The xpander AI Agent Platform
The xpander AI Agent Platform
Everything you need to build, deploy, orchestrate, and scale AI agents across your organization.
AI Agent Hub
One interface where teams discover, share, and use AI agents across the organization. Permissions and audit logs built in.
Expense manager
Licensing agent
PII classifier
Meeting assistant
AI Agent Hub
One interface where teams discover, share, and use AI agents across the organization. Permissions and audit logs built in.
Expense manager
Licensing agent
PII classifier
Meeting assistant
AI Agent Hub
One interface where teams discover, share, and use AI agents across the organization. Permissions and audit logs built in.
Expense manager
Licensing agent
PII classifier
Meeting assistant
AgentOS for Kubernetes
The orchestration runtime for autonomous AI agents. Manages containers, state, secrets, event triggers, tracing, and task coordination.
AgentOS for Kubernetes
The orchestration runtime for autonomous AI agents. Manages containers, state, secrets, event triggers, tracing, and task coordination.
AgentOS for Kubernetes
The orchestration runtime for autonomous AI agents. Manages containers, state, secrets, event triggers, tracing, and task coordination.
Agent Builder Workbench
Visual environment where operations teams and domain experts build agents without code. The people who know your workflows can now automate them.
Agent Builder Workbench
Visual environment where operations teams and domain experts build agents without code. The people who know your workflows can now automate them.
Agent Builder Workbench
Visual environment where operations teams and domain experts build agents without code. The people who know your workflows can now automate them.
Unified Agent API
One API to invoke, orchestrate, and monitor any agent, regardless of framework. Multi-agent coordination built in.
Unified Agent API
One API to invoke, orchestrate, and monitor any agent, regardless of framework. Multi-agent coordination built in.
Unified Agent API
One API to invoke, orchestrate, and monitor any agent, regardless of framework. Multi-agent coordination built in.
Enterprise Agent Connectors
Integrate agents with Microsoft 365, Salesforce, ServiceNow, Snowflake, Jira, and any internal system. Build RAG pipelines with connectors to your databases, and APIs.
Enterprise Agent Connectors
Integrate agents with Microsoft 365, Salesforce, ServiceNow, Snowflake, Jira, and any internal system. Build RAG pipelines with connectors to your databases, and APIs.
Enterprise Agent Connectors
Integrate agents with Microsoft 365, Salesforce, ServiceNow, Snowflake, Jira, and any internal system. Build RAG pipelines with connectors to your databases, and APIs.
The xpander AI Agent Platform
Everything you need to build, deploy, orchestrate, and scale AI agents across your organization.
AI Agent Hub
One interface where teams discover, share, and use AI agents across the organization. Permissions and audit logs built in.
Expense manager
Licensing agent
PII classifier
Meeting assistant
AgentOS for Kubernetes
The orchestration runtime for autonomous AI agents. Manages containers, state, secrets, event triggers, tracing, and task coordination.
Agent Builder Workbench
Visual environment where operations teams and domain experts build agents without code. The people who know your workflows can now automate them.
Unified Agent API
One API to invoke, orchestrate, and monitor any agent, regardless of framework. Multi-agent coordination built in.
Enterprise Agent Connectors
Integrate agents with Microsoft 365, Salesforce, ServiceNow, Snowflake, Jira, and any internal system. Build RAG pipelines with connectors to your databases, and APIs.
Self-Hosted AI Agents on Your Infrastructure
Self-Hosted
AI Agents on Your Infrastructure
Build with any framework, deploy on your clusters, connect to your systems. Your data stays in your environment. Inside your VPC, under your control.
Multi-cloud deployment
AWS, Azure, GCP, or on-premises
Security Inheritance
Inherits your IAM, encryption, and network policies
Built for Regulated Industries
Air-gapped deployment for regulated enterprises
Data Privacy
Your data is never used for training
Self-Hosted AI Agents on Your Infrastructure
Build with any framework, deploy on your clusters, connect to your systems. Your data stays in your environment. Inside your VPC, under your control.
Multi-cloud deployment
AWS, Azure, GCP, or on-premises
Security Inheritance
Inherits your IAM, encryption, and network policies
Built for Regulated Industries
Air-gapped deployment for regulated enterprises
Data Privacy
Your data is never used for training
Trusted by Enterprise AI Teams
What AI developers and platform leaders say about xpander.
Your AI agents just got superpowers… What if I told you the biggest barrier between your intelligent automation and the real world just disappeared? We’ve just integrated xpander.ai with Bright Data, and the results are mind-blowing.
Meir Kadosh
Software Developer
Your AI agents just got superpowers… What if I told you the biggest barrier between your intelligent automation and the real world just disappeared? We’ve just integrated xpander.ai with Bright Data, and the results are mind-blowing.
Meir Kadosh
Software Developer
Is this a Supabase moment for AI Agents? With so many different approaches to building and hosting AI Agents, I set out to imagine the ideal experience: running an AI Agent in the cloud without worrying about infrastructure, databases, networking, security, integrations, or scaling. Framework-agnostic. Memory and thread management built-in. A visual interface for testing tool calls and Agent-to-Agent handoffs. xpander.ai checks all the boxes—and more!
Alex Wang
Learn AI Together
Is this a Supabase moment for AI Agents? With so many different approaches to building and hosting AI Agents, I set out to imagine the ideal experience: running an AI Agent in the cloud without worrying about infrastructure, databases, networking, security, integrations, or scaling. Framework-agnostic. Memory and thread management built-in. A visual interface for testing tool calls and Agent-to-Agent handoffs. xpander.ai checks all the boxes—and more!
Alex Wang
Learn AI Together
The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us.
Nokky Goren
Director of Eng. at Axis Security
The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us.
Nokky Goren
Director of Eng. at Axis Security
At xpander.ai, they’ve gone all-in—tackling real-world hurdles like multi-tenancy, SSE at scale, and tool validation.
Ankit Kumar
DevEx Engineer @ Catio
At xpander.ai, they’ve gone all-in—tackling real-world hurdles like multi-tenancy, SSE at scale, and tool validation.
Ankit Kumar
DevEx Engineer @ Catio
For complex workflows that involve multiple systems, steps, and decisions, especially when things go wrong or need to recover, there’s real value in tools like xpander.ai. It gives agents structure, memory, execution reliability, and observability.
Ralph Miller
Co-Founder – Pres. @ Aionic Digital
For complex workflows that involve multiple systems, steps, and decisions, especially when things go wrong or need to recover, there’s real value in tools like xpander.ai. It gives agents structure, memory, execution reliability, and observability.
Ralph Miller
Co-Founder – Pres. @ Aionic Digital
We love that xpander is a platform where IT minimally manages the core infrastructure, but end-users or SMEs can use a studio environment to build their solutions.
Al Platform & Product Leader
F200 global consumer products co.
We love that xpander is a platform where IT minimally manages the core infrastructure, but end-users or SMEs can use a studio environment to build their solutions.
Al Platform & Product Leader
F200 global consumer products co.
If you’ve seen the graph system of xpander.ai, you probably thought “It’s just LangGraph or CrewAl Flows”. But It’s completely different. Their Agent Graph System is a comeback to “pure agents” with implicit control flows where the AI decides everything – but it’s more nuanced because it’s wrapped in an FSM that YOU can write. I’m impressed by this design
Wayne Hamadi
Co-founder & CTO @ Endflow
If you’ve seen the graph system of xpander.ai, you probably thought “It’s just LangGraph or CrewAl Flows”. But It’s completely different. Their Agent Graph System is a comeback to “pure agents” with implicit control flows where the AI decides everything – but it’s more nuanced because it’s wrapped in an FSM that YOU can write. I’m impressed by this design
Wayne Hamadi
Co-founder & CTO @ Endflow
xpander.ai is what makes coding agents run ➝ securely, observably, and at scale. It’s the missing backend for AI agents, and it’s ready to ship SWE agents.
Mayank A.
Tech with Mak
xpander.ai is what makes coding agents run ➝ securely, observably, and at scale. It’s the missing backend for AI agents, and it’s ready to ship SWE agents.
Mayank A.
Tech with Mak
Once we start doing agents well with xpander.ai, we’ll be able to build practical and almost unlimited things – because everything starts becoming an agent, or at least a good number of things do.
Head of AI & Innovation
F200 Global Energy Company
Once we start doing agents well with xpander.ai, we’ll be able to build practical and almost unlimited things – because everything starts becoming an agent, or at least a good number of things do.
Head of AI & Innovation
F200 Global Energy Company
xpander.ai is your plug-and-play Backend-as-a-Service for agents—manages memory, tools, multi-user states, events, guardrails, and more.
Akshay Pachaar
Co-Founder of DailyDoseOfDS
xpander.ai is your plug-and-play Backend-as-a-Service for agents—manages memory, tools, multi-user states, events, guardrails, and more.
Akshay Pachaar
Co-Founder of DailyDoseOfDS
Having a robust backend-as-a-service tailored specifically for agents can really streamline development and scale faster. Excited to see how this evolves—great work to the team behind it.
Nikhil Garg
Principal App Engineer @ Oracle
Having a robust backend-as-a-service tailored specifically for agents can really streamline development and scale faster. Excited to see how this evolves—great work to the team behind it.
Nikhil Garg
Principal App Engineer @ Oracle
Your AI agents just got superpowers… What if I told you the biggest barrier between your intelligent automation and the real world just disappeared? We’ve just integrated xpander.ai with Bright Data, and the results are mind-blowing.
Meir Kadosh
Software Developer
Is this a Supabase moment for AI Agents? With so many different approaches to building and hosting AI Agents, I set out to imagine the ideal experience: running an AI Agent in the cloud without worrying about infrastructure, databases, networking, security, integrations, or scaling. Framework-agnostic. Memory and thread management built-in. A visual interface for testing tool calls and Agent-to-Agent handoffs. xpander.ai checks all the boxes—and more!
Alex Wang
Learn AI Together
The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us.
Nokky Goren
Director of Eng. at Axis Security
At xpander.ai, they’ve gone all-in—tackling real-world hurdles like multi-tenancy, SSE at scale, and tool validation.
Ankit Kumar
DevEx Engineer @ Catio
For complex workflows that involve multiple systems, steps, and decisions, especially when things go wrong or need to recover, there’s real value in tools like xpander.ai. It gives agents structure, memory, execution reliability, and observability.
Ralph Miller
Co-Founder – Pres. @ Aionic Digital
We love that xpander is a platform where IT minimally manages the core infrastructure, but end-users or SMEs can use a studio environment to build their solutions.
Al Platform & Product Leader
F200 global consumer products co.
If you’ve seen the graph system of xpander.ai, you probably thought “It’s just LangGraph or CrewAl Flows”. But It’s completely different. Their Agent Graph System is a comeback to “pure agents” with implicit control flows where the AI decides everything – but it’s more nuanced because it’s wrapped in an FSM that YOU can write. I’m impressed by this design
Wayne Hamadi
Co-founder & CTO @ Endflow
xpander.ai is what makes coding agents run ➝ securely, observably, and at scale. It’s the missing backend for AI agents, and it’s ready to ship SWE agents.
Mayank A.
Tech with Mak
Once we start doing agents well with xpander.ai, we’ll be able to build practical and almost unlimited things – because everything starts becoming an agent, or at least a good number of things do.
Head of AI & Innovation
F200 Global Energy Company
xpander.ai is your plug-and-play Backend-as-a-Service for agents—manages memory, tools, multi-user states, events, guardrails, and more.
Akshay Pachaar
Co-Founder of DailyDoseOfDS
Having a robust backend-as-a-service tailored specifically for agents can really streamline development and scale faster. Excited to see how this evolves—great work to the team behind it.
Nikhil Garg
Principal App Engineer @ Oracle
Trusted by Enterprise AI Teams
What AI developers and platform leaders say about xpander.
Your AI agents just got superpowers… What if I told you the biggest barrier between your intelligent automation and the real world just disappeared? We’ve just integrated xpander.ai with Bright Data, and the results are mind-blowing.
Meir Kadosh
Software Developer
Is this a Supabase moment for AI Agents? With so many different approaches to building and hosting AI Agents, I set out to imagine the ideal experience: running an AI Agent in the cloud without worrying about infrastructure, databases, networking, security, integrations, or scaling. Framework-agnostic. Memory and thread management built-in. A visual interface for testing tool calls and Agent-to-Agent handoffs. xpander.ai checks all the boxes—and more!
Alex Wang
Learn AI Together
The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us.
Nokky Goren
Director of Eng. at Axis Security
At xpander.ai, they’ve gone all-in—tackling real-world hurdles like multi-tenancy, SSE at scale, and tool validation.
Ankit Kumar
DevEx Engineer @ Catio
For complex workflows that involve multiple systems, steps, and decisions, especially when things go wrong or need to recover, there’s real value in tools like xpander.ai. It gives agents structure, memory, execution reliability, and observability.
Ralph Miller
Co-Founder – Pres. @ Aionic Digital
We love that xpander is a platform where IT minimally manages the core infrastructure, but end-users or SMEs can use a studio environment to build their solutions.
Al Platform & Product Leader
F200 global consumer products co.
If you’ve seen the graph system of xpander.ai, you probably thought “It’s just LangGraph or CrewAl Flows”. But It’s completely different. Their Agent Graph System is a comeback to “pure agents” with implicit control flows where the AI decides everything – but it’s more nuanced because it’s wrapped in an FSM that YOU can write. I’m impressed by this design
Wayne Hamadi
Co-founder & CTO @ Endflow
xpander.ai is what makes coding agents run ➝ securely, observably, and at scale. It’s the missing platform for AI agents, and it’s ready to ship SWE agents.
Mayank A.
Tech with Mak
Once we start doing agents well with xpander.ai, we’ll be able to build practical and almost unlimited things – because everything starts becoming an agent, or at least a good number of things do.
Head of AI & Innovation
F200 Global Energy Company
xpander.ai is your plug-and-play platform for agents—manages memory, tools, multi-user states, events, guardrails, and more.
Akshay Pachaar
Co-Founder of DailyDoseOfDS
Having a robust platform tailored specifically for agents can really streamline development and scale faster. Excited to see how this evolves—great work to the team behind it.
Nikhil Garg
Principal App Engineer @ Oracle
In the News
Some of our customers and trusted partnerships
In the News
Some of our customers and trusted partnerships
Frequently Asked Questions
Infrastructure & Security
Expand all
Can I deploy AI agents to my existing Kubernetes clusters?
xpander.ai runs inside your cloud or on-prem Kubernetes clusters—a cloud-native, scalable option for teams that need full self-hosting or managed deployment. Agent execution, data access, and system connectivity stay within your environment. You keep full control over access, permissions, and data boundaries. No backend services or LLM calls leave your infrastructure unless you choose otherwise.
Does xpander work with open source AI agent frameworks?
No. xpander.ai is cloud-agnostic and framework-agnostic, so you can avoid vendor lock-in. You choose which model providers, which cloud, which data stack, and which runtime configurations to use. Options include AWS, Azure, GCP, or on-premises. Agents run as portable workloads that you own. Open source frameworks supported. No proprietary lock-in.
What's the difference between managed and self-hosted deployment?
xpander.ai provides enterprise-grade security: it runs inside your security perimeter, supports encryption in transit and at rest, and fits into your existing network, IAM, and key management standards. Deployment configuration can align with your data residency and compliance requirements. This makes xpander the best choice for DevOps, MLOps, and platform teams following security best practices.
How does xpander integrate with my existing Kubernetes security stack?
No. Your data remains entirely yours. xpander.ai does not train on your prompts or outputs. When you connect to external inference providers such as Azure OpenAI, OpenAI Enterprise, Gemini, Anthropic Claude, etc. their enterprise data protection commitments apply.
Frameworks & Integrations
Expand all
Does xpander.ai work with Azure OpenAI Service and other model providers?
Yes. xpander.ai works with top providers: Azure OpenAI Service, OpenAI, Amazon Bedrock, Google Vertex, NVIDIA, Hugging Face, Fireworks, etc. You can also bring your own GPUs for generative AI workloads. We support MCP (Model Context Protocol) for standardized tool integration across LLM providers.
Does xpander.ai work with LangChain?
Yes. Build your LLM agents with LangChain or LangGraph, then productionize them on xpander—the best multi-framework backend for production infrastructure: orchestration, state management, multi-tenancy, monitoring, observability, and enterprise security.
Does xpander.ai work with CrewAI and other frameworks?
Yes. xpander.ai works directly with CrewAI, Autogen, Lyzr, and any custom framework—supporting interoperability across agent ecosystems. xpander handles orchestration, deployment, monitoring, and operations, avoiding the need to build infrastructure from scratch. Build with whatever tools your technical team prefers.
What systems and data sources can agents connect to?
xpander integrates with any API or data source: Microsoft 365, Google Workspace, Slack, Jira, Confluence, ServiceNow, Snowflake, data warehouses, and your databases. Examples include automating helpdesk tickets, managing support ticketing, RFP responses, and internal documents workflows. Permissions are enforced automatically.
Is xpander.ai only for developers?
No. Technical teams and developers build agents with their preferred frameworks. Operations teams, analysts, and subject matter experts use the no-code Agent Builder Workbench instead. Both options follow best practices for enterprise AI.
How quickly can we see value?
Most teams have a working prototype in days and productionize their first agent in weeks—faster than building in-house or evaluating competitors. xpander.ai runs in your existing infrastructure and supports the frameworks you already use. No need to build backend services from scratch.
Pricing & Comparisons
Expand all
What is the pricing model?
xpander.ai uses a simple platform pricing model. Whether you deploy it as a Backend-as-a-Service (BaaS) or self-hosted on your infrastructure, you control the compute footprint, making spend predictable and easy to manage. There are no hidden cross service charges.
How is xpander.ai different from LangChain or CrewAI?
LangChain and CrewAI are frameworks for building LLM agents. xpander.ai is the best AI agent platform for deploying and operating them—a control plane vs tooling for productionizing agents at scale. Orchestration, monitoring, security, and observability included. Build with LangChain or CrewAI, deploy on xpander.
How does xpander.ai compare to AWS Bedrock AgentCore?
Both help teams deploy AI agents faster and offer Backend-as-a-Service (BaaS) capabilities. AgentCore is AWS-only. xpander.ai is cloud-agnostic with self-hosting options—e.g., AWS, Azure, GCP, or on-premises. Works with any LLM provider and framework, runs inside your Kubernetes clusters (K8s), deploys on any cloud. The best option for teams that need multi-cloud flexibility.
How does xpander.ai compare to ChatGPT Enterprise or Gemini Enterprise?
ChatGPT Enterprise and Gemini Enterprise are tools for chatting with company knowledge. xpander.ai is for building operational AI agents with automated workflows that take actions and call systems. Many teams use these products together.
How does xpander.ai compare to Stack AI?
Both platforms help teams build AI agents. Stack AI (StackAI) offers a guided, template-based experience optimized for speed to first agent. xpander.ai is backend infrastructure for technical teams that need framework flexibility, self-hosting deployment options, and control over their Kubernetes (K8s) environment.
How does xpander.ai compare to Lindy or other off-the-shelf AI agents?
Lindy and similar tools offer pre-built AI assistants for common tasks. Consider xpander.ai for enterprises and companies that need to build specialized custom agents for IT service desk automation, knowledge retrieval, or workflows specific to your business. Your systems, your infrastructure, your security controls.
How does xpander.ai compare to n8n or workflow automation tools?
n8n is for general workflow automation. xpander.ai is purpose-built for AI agents, with orchestration, state management, and multi-agent coordination that workflow tools weren't designed for. Some teams use both: n8n for simple automations, xpander for AI agent workloads.
How is xpander.ai similar to Databricks or Snowflake?
Databricks and Snowflake gave data teams a unified platform architecture to move faster. xpander.ai does the same for AI agents. A foundation for building, deploying, orchestrating, and scaling agents across your company.
How does xpander.ai compare to Lyzr?
Lyzr and similar platforms focus on pre-built agent templates and quick deployment. xpander.ai is the best option for enterprises that need self-hosting, framework flexibility, and control over their backend infrastructure. Build with any LLM framework, productionize on xpander with monitoring and observability built in.
Frequently Asked Questions
Infrastructure & Security
Expand all
Can I deploy AI agents to my existing Kubernetes clusters?
xpander.ai runs inside your cloud or on-prem Kubernetes clusters—a cloud-native, scalable option for teams that need full self-hosting or managed deployment. Agent execution, data access, and system connectivity stay within your environment. You keep full control over access, permissions, and data boundaries. No backend services or LLM calls leave your infrastructure unless you choose otherwise.
Does xpander work with open source AI agent frameworks?
No. xpander.ai is cloud-agnostic and framework-agnostic, so you can avoid vendor lock-in. You choose which model providers, which cloud, which data stack, and which runtime configurations to use. Options include AWS, Azure, GCP, or on-premises. Agents run as portable workloads that you own. Open source frameworks supported. No proprietary lock-in.
What's the difference between managed and self-hosted deployment?
xpander.ai provides enterprise-grade security: it runs inside your security perimeter, supports encryption in transit and at rest, and fits into your existing network, IAM, and key management standards. Deployment configuration can align with your data residency and compliance requirements. This makes xpander the best choice for DevOps, MLOps, and platform teams following security best practices.
How does xpander integrate with my existing Kubernetes security stack?
No. Your data remains entirely yours. xpander.ai does not train on your prompts or outputs. When you connect to external inference providers such as Azure OpenAI, OpenAI Enterprise, Gemini, Anthropic Claude, etc. their enterprise data protection commitments apply.
Frameworks & Integrations
Expand all
Does xpander.ai work with Azure OpenAI Service and other model providers?
Yes. xpander.ai works with top providers: Azure OpenAI Service, OpenAI, Amazon Bedrock, Google Vertex, NVIDIA, Hugging Face, Fireworks, etc. You can also bring your own GPUs for generative AI workloads. We support MCP (Model Context Protocol) for standardized tool integration across LLM providers.
Does xpander.ai work with LangChain?
Yes. Build your LLM agents with LangChain or LangGraph, then productionize them on xpander—the best multi-framework backend for production infrastructure: orchestration, state management, multi-tenancy, monitoring, observability, and enterprise security.
Does xpander.ai work with CrewAI and other frameworks?
Yes. xpander.ai works directly with CrewAI, Autogen, Lyzr, and any custom framework—supporting interoperability across agent ecosystems. xpander handles orchestration, deployment, monitoring, and operations, avoiding the need to build infrastructure from scratch. Build with whatever tools your technical team prefers.
What systems and data sources can agents connect to?
xpander integrates with any API or data source: Microsoft 365, Google Workspace, Slack, Jira, Confluence, ServiceNow, Snowflake, data warehouses, and your databases. Examples include automating helpdesk tickets, managing support ticketing, RFP responses, and internal documents workflows. Permissions are enforced automatically.
Is xpander.ai only for developers?
No. Technical teams and developers build agents with their preferred frameworks. Operations teams, analysts, and subject matter experts use the no-code Agent Builder Workbench instead. Both options follow best practices for enterprise AI.
How quickly can we see value?
Most teams have a working prototype in days and productionize their first agent in weeks—faster than building in-house or evaluating competitors. xpander.ai runs in your existing infrastructure and supports the frameworks you already use. No need to build backend services from scratch.
Pricing & Comparisons
Expand all
What is the pricing model?
xpander.ai uses a simple platform pricing model. Whether you deploy it as a Backend-as-a-Service (BaaS) or self-hosted on your infrastructure, you control the compute footprint, making spend predictable and easy to manage. There are no hidden cross service charges.
How is xpander.ai different from LangChain or CrewAI?
LangChain and CrewAI are frameworks for building LLM agents. xpander.ai is the best AI agent platform for deploying and operating them—a control plane vs tooling for productionizing agents at scale. Orchestration, monitoring, security, and observability included. Build with LangChain or CrewAI, deploy on xpander.
How does xpander.ai compare to AWS Bedrock AgentCore?
Both help teams deploy AI agents faster and offer Backend-as-a-Service (BaaS) capabilities. AgentCore is AWS-only. xpander.ai is cloud-agnostic with self-hosting options—e.g., AWS, Azure, GCP, or on-premises. Works with any LLM provider and framework, runs inside your Kubernetes clusters (K8s), deploys on any cloud. The best option for teams that need multi-cloud flexibility.
How does xpander.ai compare to ChatGPT Enterprise or Gemini Enterprise?
ChatGPT Enterprise and Gemini Enterprise are tools for chatting with company knowledge. xpander.ai is for building operational AI agents with automated workflows that take actions and call systems. Many teams use these products together.
How does xpander.ai compare to Stack AI?
Both platforms help teams build AI agents. Stack AI (StackAI) offers a guided, template-based experience optimized for speed to first agent. xpander.ai is backend infrastructure for technical teams that need framework flexibility, self-hosting deployment options, and control over their Kubernetes (K8s) environment.
How does xpander.ai compare to Lindy or other off-the-shelf AI agents?
Lindy and similar tools offer pre-built AI assistants for common tasks. Consider xpander.ai for enterprises and companies that need to build specialized custom agents for IT service desk automation, knowledge retrieval, or workflows specific to your business. Your systems, your infrastructure, your security controls.
How does xpander.ai compare to n8n or workflow automation tools?
n8n is for general workflow automation. xpander.ai is purpose-built for AI agents, with orchestration, state management, and multi-agent coordination that workflow tools weren't designed for. Some teams use both: n8n for simple automations, xpander for AI agent workloads.
How is xpander.ai similar to Databricks or Snowflake?
Databricks and Snowflake gave data teams a unified platform architecture to move faster. xpander.ai does the same for AI agents. A foundation for building, deploying, orchestrating, and scaling agents across your company.
How does xpander.ai compare to Lyzr?
Lyzr and similar platforms focus on pre-built agent templates and quick deployment. xpander.ai is the best option for enterprises that need self-hosting, framework flexibility, and control over their backend infrastructure. Build with any LLM framework, productionize on xpander with monitoring and observability built in.
Frequently Asked Questions
Infrastructure & Security
Expand all
Can I deploy AI agents to my existing Kubernetes clusters?
xpander.ai runs inside your cloud or on-prem Kubernetes clusters—a cloud-native, scalable option for teams that need full self-hosting or managed deployment. Agent execution, data access, and system connectivity stay within your environment. You keep full control over access, permissions, and data boundaries. No backend services or LLM calls leave your infrastructure unless you choose otherwise.
Does xpander work with open source AI agent frameworks?
No. xpander.ai is cloud-agnostic and framework-agnostic, so you can avoid vendor lock-in. You choose which model providers, which cloud, which data stack, and which runtime configurations to use. Options include AWS, Azure, GCP, or on-premises. Agents run as portable workloads that you own. Open source frameworks supported. No proprietary lock-in.
What's the difference between managed and self-hosted deployment?
xpander.ai provides enterprise-grade security: it runs inside your security perimeter, supports encryption in transit and at rest, and fits into your existing network, IAM, and key management standards. Deployment configuration can align with your data residency and compliance requirements. This makes xpander the best choice for DevOps, MLOps, and platform teams following security best practices.
How does xpander integrate with my existing Kubernetes security stack?
No. Your data remains entirely yours. xpander.ai does not train on your prompts or outputs. When you connect to external inference providers such as Azure OpenAI, OpenAI Enterprise, Gemini, Anthropic Claude, etc. their enterprise data protection commitments apply.
Frameworks & Integrations
Expand all
Does xpander.ai work with Azure OpenAI Service and other model providers?
Yes. xpander.ai works with top providers: Azure OpenAI Service, OpenAI, Amazon Bedrock, Google Vertex, NVIDIA, Hugging Face, Fireworks, etc. You can also bring your own GPUs for generative AI workloads. We support MCP (Model Context Protocol) for standardized tool integration across LLM providers.
Does xpander.ai work with LangChain?
Yes. Build your LLM agents with LangChain or LangGraph, then productionize them on xpander—the best multi-framework backend for production infrastructure: orchestration, state management, multi-tenancy, monitoring, observability, and enterprise security.
Does xpander.ai work with CrewAI and other frameworks?
Yes. xpander.ai works directly with CrewAI, Autogen, Lyzr, and any custom framework—supporting interoperability across agent ecosystems. xpander handles orchestration, deployment, monitoring, and operations, avoiding the need to build infrastructure from scratch. Build with whatever tools your technical team prefers.
What systems and data sources can agents connect to?
xpander integrates with any API or data source: Microsoft 365, Google Workspace, Slack, Jira, Confluence, ServiceNow, Snowflake, data warehouses, and your databases. Examples include automating helpdesk tickets, managing support ticketing, RFP responses, and internal documents workflows. Permissions are enforced automatically.
Is xpander.ai only for developers?
No. Technical teams and developers build agents with their preferred frameworks. Operations teams, analysts, and subject matter experts use the no-code Agent Builder Workbench instead. Both options follow best practices for enterprise AI.
How quickly can we see value?
Most teams have a working prototype in days and productionize their first agent in weeks—faster than building in-house or evaluating competitors. xpander.ai runs in your existing infrastructure and supports the frameworks you already use. No need to build backend services from scratch.
Pricing & Comparisons
Expand all
What is the pricing model?
xpander.ai uses a simple platform pricing model. Whether you deploy it as a Backend-as-a-Service (BaaS) or self-hosted on your infrastructure, you control the compute footprint, making spend predictable and easy to manage. There are no hidden cross service charges.
How is xpander.ai different from LangChain or CrewAI?
LangChain and CrewAI are frameworks for building LLM agents. xpander.ai is the best AI agent platform for deploying and operating them—a control plane vs tooling for productionizing agents at scale. Orchestration, monitoring, security, and observability included. Build with LangChain or CrewAI, deploy on xpander.
How does xpander.ai compare to AWS Bedrock AgentCore?
Both help teams deploy AI agents faster and offer Backend-as-a-Service (BaaS) capabilities. AgentCore is AWS-only. xpander.ai is cloud-agnostic with self-hosting options—e.g., AWS, Azure, GCP, or on-premises. Works with any LLM provider and framework, runs inside your Kubernetes clusters (K8s), deploys on any cloud. The best option for teams that need multi-cloud flexibility.
How does xpander.ai compare to ChatGPT Enterprise or Gemini Enterprise?
ChatGPT Enterprise and Gemini Enterprise are tools for chatting with company knowledge. xpander.ai is for building operational AI agents with automated workflows that take actions and call systems. Many teams use these products together.
How does xpander.ai compare to Stack AI?
Both platforms help teams build AI agents. Stack AI (StackAI) offers a guided, template-based experience optimized for speed to first agent. xpander.ai is backend infrastructure for technical teams that need framework flexibility, self-hosting deployment options, and control over their Kubernetes (K8s) environment.
How does xpander.ai compare to Lindy or other off-the-shelf AI agents?
Lindy and similar tools offer pre-built AI assistants for common tasks. Consider xpander.ai for enterprises and companies that need to build specialized custom agents for IT service desk automation, knowledge retrieval, or workflows specific to your business. Your systems, your infrastructure, your security controls.
How does xpander.ai compare to n8n or workflow automation tools?
n8n is for general workflow automation. xpander.ai is purpose-built for AI agents, with orchestration, state management, and multi-agent coordination that workflow tools weren't designed for. Some teams use both: n8n for simple automations, xpander for AI agent workloads.
How is xpander.ai similar to Databricks or Snowflake?
Databricks and Snowflake gave data teams a unified platform architecture to move faster. xpander.ai does the same for AI agents. A foundation for building, deploying, orchestrating, and scaling agents across your company.
How does xpander.ai compare to Lyzr?
Lyzr and similar platforms focus on pre-built agent templates and quick deployment. xpander.ai is the best option for enterprises that need self-hosting, framework flexibility, and control over their backend infrastructure. Build with any LLM framework, productionize on xpander with monitoring and observability built in.
Frequently Asked Questions
Infrastructure & Security
Expand all
Can I deploy AI agents to my existing Kubernetes clusters?
xpander.ai runs inside your cloud or on-prem Kubernetes clusters—a cloud-native, scalable option for teams that need full self-hosting or managed deployment. Agent execution, data access, and system connectivity stay within your environment. You keep full control over access, permissions, and data boundaries. No backend services or LLM calls leave your infrastructure unless you choose otherwise.
Does xpander work with open source AI agent frameworks?
No. xpander.ai is cloud-agnostic and framework-agnostic, so you can avoid vendor lock-in. You choose which model providers, which cloud, which data stack, and which runtime configurations to use. Options include AWS, Azure, GCP, or on-premises. Agents run as portable workloads that you own. Open source frameworks supported. No proprietary lock-in.
What's the difference between managed and self-hosted deployment?
xpander.ai provides enterprise-grade security: it runs inside your security perimeter, supports encryption in transit and at rest, and fits into your existing network, IAM, and key management standards. Deployment configuration can align with your data residency and compliance requirements. This makes xpander the best choice for DevOps, MLOps, and platform teams following security best practices.
How does xpander integrate with my existing Kubernetes security stack?
No. Your data remains entirely yours. xpander.ai does not train on your prompts or outputs. When you connect to external inference providers such as Azure OpenAI, OpenAI Enterprise, Gemini, Anthropic Claude, etc. their enterprise data protection commitments apply.
Frameworks & Integrations
Expand all
Does xpander.ai work with Azure OpenAI Service and other model providers?
Yes. xpander.ai works with top providers: Azure OpenAI Service, OpenAI, Amazon Bedrock, Google Vertex, NVIDIA, Hugging Face, Fireworks, etc. You can also bring your own GPUs for generative AI workloads. We support MCP (Model Context Protocol) for standardized tool integration across LLM providers.
Does xpander.ai work with LangChain?
Yes. Build your LLM agents with LangChain or LangGraph, then productionize them on xpander—the best multi-framework backend for production infrastructure: orchestration, state management, multi-tenancy, monitoring, observability, and enterprise security.
Does xpander.ai work with CrewAI and other frameworks?
Yes. xpander.ai works directly with CrewAI, Autogen, Lyzr, and any custom framework—supporting interoperability across agent ecosystems. xpander handles orchestration, deployment, monitoring, and operations, avoiding the need to build infrastructure from scratch. Build with whatever tools your technical team prefers.
What systems and data sources can agents connect to?
xpander integrates with any API or data source: Microsoft 365, Google Workspace, Slack, Jira, Confluence, ServiceNow, Snowflake, data warehouses, and your databases. Examples include automating helpdesk tickets, managing support ticketing, RFP responses, and internal documents workflows. Permissions are enforced automatically.
Is xpander.ai only for developers?
No. Technical teams and developers build agents with their preferred frameworks. Operations teams, analysts, and subject matter experts use the no-code Agent Builder Workbench instead. Both options follow best practices for enterprise AI.
How quickly can we see value?
Most teams have a working prototype in days and productionize their first agent in weeks—faster than building in-house or evaluating competitors. xpander.ai runs in your existing infrastructure and supports the frameworks you already use. No need to build backend services from scratch.
Pricing & Comparisons
Expand all
What is the pricing model?
xpander.ai uses a simple platform pricing model. Whether you deploy it as a Backend-as-a-Service (BaaS) or self-hosted on your infrastructure, you control the compute footprint, making spend predictable and easy to manage. There are no hidden cross service charges.
How is xpander.ai different from LangChain or CrewAI?
LangChain and CrewAI are frameworks for building LLM agents. xpander.ai is the best AI agent platform for deploying and operating them—a control plane vs tooling for productionizing agents at scale. Orchestration, monitoring, security, and observability included. Build with LangChain or CrewAI, deploy on xpander.
How does xpander.ai compare to AWS Bedrock AgentCore?
Both help teams deploy AI agents faster and offer Backend-as-a-Service (BaaS) capabilities. AgentCore is AWS-only. xpander.ai is cloud-agnostic with self-hosting options—e.g., AWS, Azure, GCP, or on-premises. Works with any LLM provider and framework, runs inside your Kubernetes clusters (K8s), deploys on any cloud. The best option for teams that need multi-cloud flexibility.
How does xpander.ai compare to ChatGPT Enterprise or Gemini Enterprise?
ChatGPT Enterprise and Gemini Enterprise are tools for chatting with company knowledge. xpander.ai is for building operational AI agents with automated workflows that take actions and call systems. Many teams use these products together.
How does xpander.ai compare to Stack AI?
Both platforms help teams build AI agents. Stack AI (StackAI) offers a guided, template-based experience optimized for speed to first agent. xpander.ai is backend infrastructure for technical teams that need framework flexibility, self-hosting deployment options, and control over their Kubernetes (K8s) environment.
How does xpander.ai compare to Lindy or other off-the-shelf AI agents?
Lindy and similar tools offer pre-built AI assistants for common tasks. Consider xpander.ai for enterprises and companies that need to build specialized custom agents for IT service desk automation, knowledge retrieval, or workflows specific to your business. Your systems, your infrastructure, your security controls.
How does xpander.ai compare to n8n or workflow automation tools?
n8n is for general workflow automation. xpander.ai is purpose-built for AI agents, with orchestration, state management, and multi-agent coordination that workflow tools weren't designed for. Some teams use both: n8n for simple automations, xpander for AI agent workloads.
How is xpander.ai similar to Databricks or Snowflake?
Databricks and Snowflake gave data teams a unified platform architecture to move faster. xpander.ai does the same for AI agents. A foundation for building, deploying, orchestrating, and scaling agents across your company.
How does xpander.ai compare to Lyzr?
Lyzr and similar platforms focus on pre-built agent templates and quick deployment. xpander.ai is the best option for enterprises that need self-hosting, framework flexibility, and control over their backend infrastructure. Build with any LLM framework, productionize on xpander with monitoring and observability built in.
The AI Agent Platform
for Enterprise Teams
Build with any framework. Deploy on any cloud. Orchestration, security, and observability built in.
The AI Agent Platform
for Enterprise Teams
Everything you need to build, deploy,
and scale your AI agents
The AI Agent Platform for Enterprise Teams
Build with any framework. Deploy on any cloud. Orchestration, security, and observability built in.
The AI Agent Platform
for Enterprise Teams
Build with any framework. Deploy on any cloud. Orchestration, security, and observability built in.