Say yes to AI. Not to sprawl.

Say yes to AI. Not to sprawl.

One governed platform for every agent, model and tool your company runs. Know every agent, its owner and its cost, enforce policy in one place, and deploy in your cloud, on-prem or air-gapped.

One governed platform for every agent, model and tool your company runs. Know every agent, its owner and its cost, enforce policy in one place, and deploy in your cloud, on-prem or air-gapped.

Self-deployed in your Kubernetes

Air-gapped ready

SOC 2 Type II

GDPR

Built for organizations that can't leave shadow AI unanswered

Government

Defense

Critical Infrastructure

Insurance

Banking

Retail

Retail

  • Government

  • Defense

  • Critical Infrastructure

  • Insurance

  • Banking

  • Retail

    Retail

Five layers between your company and AI sprawl

AI in your company runs on five layers. GPUs and model contracts sit at the bottom. The apps your people use sit at the top. Today each layer comes with its own vendor and its own console. Here is the stack from the bottom up, and what xpander gives you at each layer.

  • One gateway per provider: Your own GPUs, rented GPUs and commercial models each come with their own gateway. Nobody sees who sent what to which model.
  • No owner for models or spend: Anyone can use any model, and nobody owns the spend.
  • Point products you connect yourself: An MCP gateway, an orchestrator and a control plane from different vendors, and your team connects them.
  • Agents on laptops: Agents run on laptops with a provider key, or unattended with no record.
  • A different console for every team: Each team reaches agents from its own app, and each app has its own console.

GPUs: Put every model, on any GPU, behind one gateway

You run models on your own GPUs, rent GPUs in a cloud, and pay for commercial models. Each one has its own gateway. You cannot see who sent what to which model, and no budget or policy covers them all. xpander connects all of them to one AI Gateway: commercial providers on your own keys, your own model servers such as vLLM, and a gateway you already run, such as Portkey or Kong.

Models: Decide who uses which model, and how much

With every model behind one gateway, you choose which groups may use which models. You set budgets for each person, group, agent and API key, per day, week or month. A budget blocks calls or only alerts you. Every call is logged under the person or agent that made it, with its model, tokens and cost. The same budgets follow every agent xpander runs, in every app.

Agent platform: MCP gateway, orchestrator and control plane in one platform

Agents need approved tools, multi-step processes and one place to manage them. Bought separately, that is an MCP gateway, an orchestrator and a control plane from different vendors, and your team connects them. xpander includes all three. MCP Gateway connects agents only to approved tools, and each person can sign in as themselves. Agentic Workflows run multi-step work and stop where a person must approve. The AI Control Plane holds every agent, tool and policy.

Governed runtime: Agents leave the laptop. People keep their coding agents.

With models and gateways in place, people build agents. Some run on laptops with a provider key, others unattended with no record. Agent Runtime runs Claude Code, Codex or OpenCode in an isolated sandbox and records every turn. The sandbox gets approved tools and a gateway token, never a provider key. Scheduled agents keep running when the laptop closes. People can switch coding agent or model and keep the history. No vendor locks you in.

Applications: Agents in the apps each team already uses

Agents need a human interface, and each team has its own: Slack, Microsoft Teams, Claude, ChatGPT, an API in your product, or the xpander AI Workspace. xpander puts the same agents and approved tools in every one of them, under the same rules. Every task, from every interface, shows in one list with where it came from and who asked.

Give your people AI. Keep the control.

Survival guide for CIOs

Five layers between your company and AI sprawl

AI in your company runs on five layers. GPUs and model contracts sit at the bottom. The apps your people use sit at the top. Today each layer comes with its own vendor and its own console. Here is the stack from the bottom up, and what xpander gives you at each layer.

TodayUnmanaged12
GPU clusterno user view
Rented GPUsown gateway
Geminitrial nobody owns
Claude3rd contract
GitHubshared token
Orchestratoranother vendor
MCP serverno owner
Codexno logs
Claude Coderaw provider key
Internal appown provider key
Teams botno owner
Slack botno owner

01 · GPUs

Many providers. One gateway.

Put every model, on any GPU, behind one gateway

You run models on your own GPUs, rent GPUs in a cloud, and pay for commercial models. Each one has its own gateway. You cannot see who sent what to which model, and no budget or policy covers them all. xpander connects all of them to one AI Gateway: commercial providers on your own keys, your own model servers such as vLLM, and a gateway you already run, such as Portkey or Kong.

Stops one gateway per provider

02 · Models

Who uses which model. At what cost.

Decide who uses which model, and how much

With every model behind one gateway, you choose which groups may use which models. You set budgets for each person, group, agent and API key, per day, week or month. A budget blocks calls or only alerts you. Every call is logged under the person or agent that made it, with its model, tokens and cost. The same budgets follow every agent xpander runs, in every app.

Stops no owner for models or spend

03 · Agent platform

One platform. No integration project.

MCP gateway, orchestrator and control plane in one platform

Agents need approved tools, multi-step processes and one place to manage them. Bought separately, that is an MCP gateway, an orchestrator and a control plane from different vendors, and your team connects them. xpander includes all three. MCP Gateway connects agents only to approved tools, and each person can sign in as themselves. Agentic Workflows run multi-step work and stop where a person must approve. The AI Control Plane holds every agent, tool and policy.

Stops point products you connect yourself

04 · Governed runtime

Off the laptop. Same coding agents.

Agents leave the laptop. People keep their coding agents.

With models and gateways in place, people build agents. Some run on laptops with a provider key, others unattended with no record. Agent Runtime runs Claude Code, Codex or OpenCode in an isolated sandbox and records every turn. The sandbox gets approved tools and a gateway token, never a provider key. Scheduled agents keep running when the laptop closes. People can switch coding agent or model and keep the history. No vendor locks you in.

Stops agents on laptops

05 · Applications

Same agents in every app.

Agents in the apps each team already uses

Agents need a human interface, and each team has its own: Slack, Microsoft Teams, Claude, ChatGPT, an API in your product, or the xpander AI Workspace. xpander puts the same agents and approved tools in every one of them, under the same rules. Every task, from every interface, shows in one list with where it came from and who asked.

Stops a different console for every team
All five layersUnmanaged0

Give your people AI. Keep the control.

Book a demo

Your existing infrastructure wasn’t built to run AI at scale

Agents are growing in number and complexity, but the infrastructure to run and govern them hasn’t caught up.

01 · INFRASTRUCTURE TRAP

Every AI use case turns into a lengthy integration project

Every AI use case turns into a lengthy integration project

Each new AI project starts from scratch. Gateways, sandboxes, memory, and audit trails get rebuilt every time, and the maintenance never ends. Months pass before the first business outcome.

Each new AI project starts from scratch. Gateways, sandboxes, memory, and audit trails get rebuilt every time, and the maintenance never ends. Months pass before the first business outcome.

02 · AI SPRAWL AND GOVERNANCE GAPS

Your teams already use AI, but security can’t see or govern it

Your teams already use AI, but security can’t see or govern it

Agents run on laptops under employee logins, and each team builds its own with no shared policy. Nobody can say which agents are running, what they can reach, or when they’ll cross a boundary.

Agents run on laptops under employee logins, and each team builds its own with no shared policy. Nobody can say which agents are running, what they can reach, or when they’ll cross a boundary.

03 · COMPLIANCE BOUNDARIES

AI has to reach your systems without crossing compliance boundaries

AI has to reach your systems without crossing compliance boundaries

Vendor-hosted AI sends your data to their cloud, with no record of which agent touched what or what it changed. Every new AI vendor means another console to manage and another audit to pass.

Vendor-hosted AI sends your data to their cloud, with no record of which agent touched what or what it changed. Every new AI vendor means another console to manage and another audit to pass.

The full suite for becoming AI‑native

xpander provides everything you need to adopt AI without losing control. IT teams get governance over every agent, while everyone else gets the freedom to run them.

Agent Runtime

Give every agent a secure environment to run

Run the agents your teams already built on Claude Code, Codex or OpenCode, in your environment. When a better model comes along, swap it in without reconfiguring your agents.

  • Any harness: Claude Code, Codex, OpenCode or your own
  • One sandbox per agent, one policy per team
  • Blocked calls become admin approvals
  • Kubernetes, any cloud, on-premises or air-gapped
Learn more
01 / 06

Why enterprises choose xpander

xpander is the only all-in-one platform that doesn’t force you to go all-in on any model provider, harness, or cloud.

Works with what you already have

Your identity provider, vault, security stack and internal systems.

The usual trade-offTheir environment, their models, their roadmap

Vendor-neutral, by design

Any harness, any model, any cloud or air-gapped. Switch anytime.

The usual trade-offLocked to one framework, one cloud or one harness

Governed out of the box

Permissions, approvals, audit and budgets are built in from day one.

The usual trade-offYou build the governance yourself, and maintain it forever

Your data stays yours

Prompts, memory, skills, workflows and history stay in your environment.

The usual trade-offYour data leaves for a vendor cloud

Where will you start?

Once xpander is running in your environment, most teams start with one of these five use cases.

Move your employees’ agents off their laptops

People already run Claude Code and Codex agents on their laptops. Run those same agents in a governed sandbox in your environment, so they keep working in the background after the laptop closes.

Learn more →

Built for the most security‑conscious teams

Certified and audited

SOC 2 Type II certified and GDPR compliant, with independently audited controls so your security review starts from a known baseline.

Runs where your data lives

Your VPC, your data center, or fully air-gapped. Nothing leaves your environment unless you say so.

Every action is logged

Agents act as the person who asked, credentials come from your vault at call time, and every run is logged and attributable.

Visit the Trust Center →

Questions we hear from IT leaders

No. Your teams keep Claude Code, Codex, or OpenCode. xpander runs them in your environment and adds what they lack on their own: permissions, approvals, budgets, audit, and a shared place for every team to use them.

Put AI to work safely across teams

Book a demo and we’ll walk through xpander with your first use case in mind.