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Architecture

The AI OS reference model.

Collections → Infrastructure Graph → Specialized Agents → Policy Guardrails → Autonomous Action with full auditability.

Infravox AI OS architecture: agents, applications, infrastructure graph, policy guardrails, and autonomous action
Where we sit

A new layer of the stack

The vision

Production should run itself.

Infravox sits between your operators and the systems they own: collect once, understand continuously, then detect, secure, and remediate under policy.

The platform

One OS. Three layers.

Agent Studio, Orchestration, and Data & Context share one infrastructure graph so every action is grounded, guarded, and auditable.

The autonomous layer between your team and your production systems.

Infravox Agent Studio, Orchestration, and Data & Context layered platform
The AI OS lifecycle

From signal to autonomous action

Eight steps on one OS. Select a stage to see how agents hand off under policy.

01

Collect

Telemetry, configs, IdP, identity, and signals from every system your fleet already runs.

Connect clouds, clusters, CI, and identity once. Collections normalize signals so every agent shares the same source of truth.

Everything you need, in one AI OS

Domain coverage without duplicating the lifecycle. Each capability runs on the same graph and agents.

Infrastructure Operations

NOC, RCA, topology, and Kubernetes intelligence on one command plane.

Cloud Security

CSPM, CWPP, IAM, secrets, attack paths, and runtime protection.

FinOps

Rightsizing, waste detection, forecasting, and savings across every bill.

Compliance

Continuous controls and evidence for SOC 2, ISO, HIPAA, PCI, GDPR, NIST, and CIS.

Platform Engineering

Golden templates, environments, and an Internal Developer Platform that ships safely.

Infrastructure as Code

Terraform, Helm, Pulumi, CloudFormation, and GitOps with drift and policy as code.

Developer AI

Code review, secrets, compliance, performance, and deploy risk on every change.

Automation Engine

Runbooks, workflows, self-healing, approvals, and guardrails at scale.

Replace half your infrastructure stack with one AI operating system.

Enterprise ready from day one. A category defining intelligence layer meticulously engineered for the complexity of Fortune scale cloud operations.

AWS, Azure, Google Cloud, Kubernetes, Terraform, Datadog & more