Editorial illustration for Xpander Aims to Give Enterprises a Portable Control Plane for AI Agents
Xpander Offers Enterprise AI Agent Control Plane
Xpander Aims to Give Enterprises a Portable Control Plane for AI Agents
Gartner puts a number on the problem that's been building quietly inside enterprise IT departments: the average Fortune 500 company will run more than 150,000 AI agents by 2028, up from fewer than 15 this year. Only 13% of organizations think they have the governance in place to handle that. The gap between those two figures is where a new category of infrastructure startup is trying to plant a flag, building the layer that sits above individual models and agents to handle permissions, memory, observability and lifecycle management so developers aren't rebuilding the same plumbing every time they spin up a new agent.
xpander.ai, founded by three former AWS principal engineers, is making its bid today. The company's enterprise AI agent platform goes generally available, pitched as a vendor-neutral control plane that works across different models, frameworks and infrastructure setups rather than locking customers into one provider's stack. CEO and co-founder David Twizer told VentureBeat in an exclusive interview that three complaints keep surfacing from enterprise customers: agents running locally with no central oversight, workflows trapped with individual users, and infrastructure quietly bound to a single AI vendor.
The company is making its enterprise AI agent platform generally available today, positioning it as a vendor-neutral control plane for building, running and governing agents across different models, agent frameworks and infrastructure environments.
Why this matters
Xpander is betting that enterprises want to own their agent infrastructure rather than rent it piecemeal from whichever vendor built their favorite framework. Gartner's numbers make the urgency obvious: going from fewer than 15 agents to 150,000 by 2028 with only 13% of companies confident in their governance is not a gap, it's a cliff. For developers and founders building in this space, the interesting bet here isn't the control plane pitch itself, plenty of startups are chasing that, it's the vendor-neutral, portable framing.
If xpander can actually decouple governance from the underlying agent runtime, that's a real technical differentiator worth watching. If Omni turns out to be just another prebuilt agent wrapped in infrastructure language, the market will notice fast. We'd push back gently on the "single control plane" pitch too, because enterprises rarely converge on single anything, especially in a space this immature.
Worth tracking whether xpander's customers actually consolidate their agent sprawl through this, or whether it becomes one more layer in an already crowded stack.
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Common Questions Answered
What is Xpander's enterprise AI agent platform designed to do?
Xpander's platform functions as a vendor-neutral control plane for building, running, and governing AI agents across different models, agent frameworks, and infrastructure environments. It is designed to handle permissions, memory management, and other critical governance functions that enterprises need as they scale their AI agent deployments.
What governance gap is Xpander trying to address according to Gartner's projections?
Gartner projects that the average Fortune 500 company will run more than 150,000 AI agents by 2028, up from fewer than 15 this year, yet only 13% of organizations believe they have adequate governance in place to handle this scale. Xpander aims to close this critical gap between the explosive growth of AI agents and the lack of governance infrastructure most enterprises currently possess.
Why do enterprises prefer to own their agent infrastructure according to Xpander's strategy?
Xpander is betting that enterprises want to own their agent infrastructure rather than rent it piecemeal from individual vendors who built specific frameworks or models. This ownership approach gives enterprises greater control over their AI agent deployments and reduces vendor lock-in across their diverse agent ecosystem.
What category of infrastructure startup is Xpander part of?
Xpander is part of a new category of infrastructure startups that build the control layer sitting above individual AI models and agents to handle governance, permissions, and memory management. These startups are addressing the enterprise IT challenge of managing massive numbers of AI agents with proper oversight and control mechanisms.
Further Reading
- As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer - VentureBeat
- Enterprise AI Agent Platform | xpander.ai - Xpander
- Gartner sees untamed growth in agentic AI - Computerworld
- Agent control plane - IBM
- Enterprise AI Controls & agent control plane now generally available - GitHub Blog
