What is PhantomAgent?+
PhantomAgent is an enterprise control plane for AI infrastructure. It helps platform, security, and FinOps teams govern where models, agents, tools, and services run across cloud, on-prem, and customer-owned environments, with policy, placement, chargeback, failover, and audit built in.
Do we have to replace the AI tools and agent frameworks we already use?+
No. PhantomAgent is designed to sit alongside what you already run, not force a rip-and-replace. Your applications and agent stacks connect through the control plane so you can apply consistent policy and visibility without rebuilding every workflow from scratch.
How is this different from our cloud provider's AI services or a GPU marketplace?+
Cloud AI services and GPU marketplaces focus on delivering models or capacity. PhantomAgent focuses on governing AI operations on infrastructure you operate: who can use what, where workloads are allowed to run, how spend is attributed, and what happened when something executed. We are not brokering GPUs or reselling inference on your behalf.
Where does PhantomAgent run?+
On infrastructure your organization controls, not a shared multi-tenant SaaS backend for your workloads. That includes major public clouds, Kubernetes, and on-prem environments. The exact deployment model depends on your security and networking requirements, which we walk through on a discovery call.
Who typically owns PhantomAgent inside an enterprise?+
Most customers start with a platform or cloud engineering team, with security and FinOps as key stakeholders. PhantomAgent is built for the people accountable for AI at scale: placement, access control, spend ownership, and proving what ran where.
Can we keep sensitive models and data in our own environments?+
Yes. Self-hosted and internally operated models are a core use case, especially where data residency, compliance, or cost control matter. PhantomAgent helps you govern those workloads with the same policy, visibility, and audit expectations you apply to external APIs.
What can we actually evaluate in a demo trial?+
A trial is meant to answer practical questions in your environments: can we enforce placement and access policy, see usage by team or project, route around unhealthy infrastructure, and produce an audit trail teams can stand behind? Scope and duration are tailored in conversation so you test what matters for your evaluation, not a canned sandbox demo.
How does PhantomAgent help with AI spend and chargeback?+
Rising AI spend is hard to manage when usage is scattered across teams, models, and environments. PhantomAgent ties activity to organizational context (teams, projects, workloads) so FinOps and business leaders can see who is driving cost and whether adoption is producing outcomes, not just invoices.
What should our security team expect for governance and audit?+
Security teams usually want three things: enforceable policy on what can run where, visibility into activity across models, agents, tools, and infrastructure, and evidence they can export for reviews. PhantomAgent is built around those outcomes. Specific integrations with your identity, logging, and compliance stack are part of the enterprise conversation.
What does enterprise licensing include?+
Enterprise licensing covers production deployment in your environments, commercial terms aligned to your scale, and the support your platform team needs to operate the control plane. Pricing and packaging depend on scope; we share details after understanding your infrastructure and rollout plan.
How do we get started?+
Start with a short conversation to align on your environments, stakeholders, and evaluation goals. From there we can scope a demo trial or enterprise license path.
Schedule a call when you are ready.
