Bring LLM Governance Closer to Your Workloads
Cloptima's roadmap includes private edge gateway deployment patterns for teams that need local enforcement, provider connectivity, and private-network controls.
Govern access before spend happens
Some teams cannot send all AI traffic through a hosted SaaS path. They still need spend controls, attribution, and usage finalization for workloads running in private networks.
One policy layer across model usage
The private gateway pattern is designed to enforce signed policies near workloads, keep provider connectivity and credentials local, and sync usage metadata back to Cloptima for reporting and reconciliation workflows.
Start with one app, then expand
Start with hosted gateway or telemetry, then evaluate private gateway deployment for regulated apps, high-volume workloads, or network-constrained environments.
Built for private production AI
The architecture uses signed policy snapshots, locally encrypted credentials, local budget decisions, resilient usage delivery, and central reporting so teams can combine private execution with centralized AI FinOps without uploading plaintext provider credentials to Cloptima cloud.
Launch path
Private gateway patterns are intended for enterprise onboarding. Cloptima can review workload topology, provider connectivity, and governance requirements before rollout.
FAQ
Operationalize LLM FinOps Across Your Apps
Start with telemetry, gateway governance, or provider bill matching workflows. Keep model spend connected to engineering ownership and finance reporting.