LUTFLOW FOR CTOS & PLATFORM ENGINEERS

The firewall runs where the compute runs.

CTOs and platform engineers need real-time enforcement at the workload level, compatible with Kubernetes/GKE, without requiring application-layer changes. The Sentinel runs below the application. The LUT Agent wraps above it. Factory deploys self-hosted models into your existing cloud in minutes.

Whether that's OpenAI's servers or your own cloud.

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"The firewall runs where the compute runs — whether that's OpenAI's servers or your own cloud."

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Infrastructure-level enforcement

The Sentinel agent deploys as a Kubernetes sidecar or DaemonSet. Zero application code changes. It monitors GPU utilization and enforces budget policy below the app layer.

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<12s E2E kill path (SLA target)

When a workload breaches budget policy, the end-to-end kill path SLA target is under 12 seconds, bounded by a 10-second Flink stream aggregation window. Wired via eBPF kprobes with a kubectl fallback — see ADR-057 for real state.

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Kubernetes & GKE native

Designed for containerized AI workloads. Helm charts, DaemonSets, resource limits — all integrated. Works with existing Kubernetes monitoring stacks.

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Factory — BYOC deployment

Deploy models from HuggingFace or your own fine-tuned weights into GCP, AWS, or Azure in minutes. No MLOps team required. Factory handles orchestration and autoscaling.

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LUT Agent SDK

For application-level enforcement: pip install lutflow. Three lines of code to wrap OpenAI, Anthropic, or Gemini clients with budget policy.

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Real-time observability

GPU utilization, inference throughput, cost accrual — all visible in real time. Integrates with Grafana dashboards for enterprise monitoring.

Ready to enforce your AI budget?
30 days free · No infrastructure changes
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