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The all-in-one

AI Agents platform

All-in-one AI Agents platform

Your shift to an AI Workforce starts here.

All features ・No credit card

TRUSTED BY TEAMS AT

  • NVIDIA

  • Workday

  • Wix

  • Zesty

  • Tavily

  • TechCrunch

  • SIEMENS

  • Salesforce

  • PagerDuty

  • Mozilla

  • Lenovo

  • Kalosys

  • Intuit

  • Intel

  • DriveNets

  • Aquant.ai

  • BrightData

  • Bria.ai

  • Apple

  • Agno

  • AI21

  • NVIDIA

  • Workday

  • Wix

  • Zesty

  • Tavily

  • TechCrunch

  • SIEMENS

  • Salesforce

  • PagerDuty

  • Mozilla

  • Lenovo

  • Kalosys

  • Intuit

  • Intel

  • DriveNets

  • Aquant.ai

  • BrightData

  • Bria.ai

  • Apple

  • Agno

  • AI21

Everything you need
to start using AI.

An AI workforce platform with everything built in — personal assistants, specialized agents, a visual builder, and agentic automation. Deploy to your cloud or ours.

Powered by OpenClaw

Personal AI Agents

Every employee gets an AI teammate.

Replaces

Not a chatbot. A genuinely capable agent that works where your team already works — Slack, Teams, voice. No setup. No training. It adapts to each person, discovers other agents, and delegates across your organization.

Works in Slack, Teams, and voice

Agents join your existing channels — nothing new to install

Zero configuration per user

IT deploys once. Every employee gets a personalized agent immediately

Cross-agent delegation

Your agent can find and collaborate with any other agent in the org

Powered by Agno

Specialized Agents

Supervised. Constrained. Trustworthy.

Replaces

Each specialized agent sits between the Personal Assistant and your enterprise systems — exposing only the operations that matter and blocking everything else. Not a raw connector. A supervised capability with guardrails, validation, and a constrained blast radius.

Reduced blast radius

Only approved operations are exposed. No accidental mutations.

Debuggable unit

When something breaks, you debug one bounded agent — not global reasoning.

Enterprise trust boundary

"This agent only does PR triage. It cannot touch secrets." Say that confidently.

Build

Agent Studio

Build, test, and deploy AI agents — visually.

Replaces

A visual canvas for teams that need agents built to spec. Define behavior with natural language, wire up 2,000+ agentic tools, test in real time, and deploy to Slack, API, MCP, or chat — all one screen. Every agent ships with PII detection, prompt injection protection, and full observability.

Natural language instructions

Define the agent's role, goals, and behavioral rules — each one becomes an enforced constraint

2,000+ agentic tools

Salesforce, Jira, GitHub, BigQuery, Gmail, Confluence — pre-built actions ready to go. Or bring your own API

Built-in safety layer

PII detection and masking, prompt injection blocking, content moderation — toggle on, no config files

Deploy everywhere

API, SDK, Slack, webhooks, chat widget, MCP, or A2A protocol. One build, every surface

Powered by Agno Workflows

Agentic Automation

Zero data mapping. AI handles context at runtime.

Traditional automation breaks every time an API hanges because every field is manually mapped. xpander workflows use AI to understand context at runtime — no brittle connections, no constant maintenance. Build once, never babysit.

Replaces

Before

×

Manual data mapping

×

Breaks on API changes

×

Requires engineers

After

AI handles mapping

Self-adapting

No-code canvas

What builders say

From solo developers to enterprise AI platform teams.

"

The ability to envision a feature and see it implemented within days without requiring engineering resources has been a game changer for us.

NG

Nokky Goren

Director of Eng. at Axis Security

"

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.

AP

AI Platform Leader

F200 Consumer Products Co.

"

xpander.ai is your plug-and-play Backend-as-a-Service for agents — manages memory, tools, multi-user states, events, guardrails, and more.

AP

Akshay Pachaar

DailyDoseOfDS

"

xpander.ai is what makes coding agents run securely, observably, and at scale. It's the missing backend for AI agents.

MA

Mayank A.

Tech with Mak

"

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.

RM

Ralph Miller

Co-Founder at Aionic Digital

"

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.

WH

Wayne Hamadi

Co-founder & CTO at Endflow

"

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.

Ho

Head of AI & Innovation

F200 Global Energy Company

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.

All features ・No credit card

© xpander.ai 2026. All rights reserved.

The AI Agent Platform
for Enterprise Teams

Everything you need to build, deploy,
and scale your AI agents

All features ・No credit card

© xpander.ai 2026. All rights reserved.

The AI Agent Platform for Enterprise Teams

Build with any framework. Deploy on any cloud. Orchestration, security, and observability built in.

All features ・No credit card

© xpander.ai 2026. All rights reserved.