For platform, security, and FinOps teams

AI control plane for enterprise agents

Centralized policy across agents, placement on infrastructure you control, chargeback by team, and exportable audit evidence. Built for teams running production AI.

Start with placement, policy, and cost ownership

Phantom governs where models, agents, and tools run on infrastructure your organization controls. Apply centralized policy across agents, attribute costs to teams, projects, and workloads, and export an audit trail for security reviews.

You keep your existing AI tools and agent frameworks. The control plane sits alongside them. Public cloud, Kubernetes, on-prem, and customer-owned environments are part of the deployment conversation; Phantom does not broker GPUs or resell inference.

Use your own workloads to evaluate fit

Bring one workload, its allowed environments, the team responsible for spend, and the evidence security needs. In the trial, evaluate placement and access policy, usage attribution, routing around unhealthy infrastructure, and audit exports. Confirm identity and logging integrations and the rollout scope before committing to a license.