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The Platform

The Control Plane for Enterprise AI.

Enforce cost, policy, and execution constraints before AI workloads run; across every team, environment, and model. 

Most systems measure AI usage after execution. Azaios operates pre-execution and evaluates every AI task and workload ensuring predictable cost, consistent governance, and controlled system behavior.

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01

Control Cost.

Close up on a rack of GPU cards.

Enforce cost constraints before execution - preventing overruns and ensuring predictable AI economics. 

Capabilities

  • Pre-execution cost enforcement
    Block workloads that exceed defined cost thresholds

  • Workload-level budgets
    Set enforceable limits by task, team or system

  • Real-time cost evaluation
    Assess expected cost before execution 

  • Cross-environment enforcement
    Enforce constraints consistently across infrastructure

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02

Enforce Policy

Apply governance, compliance, and acceptable-use constraints before any AI workload runs—without exception.
 

Capabilities

  • Pre-execution enforcement
    Block or modify non-compliant workloads

  • Unified policy layer
    Apply consistent rules across teams and systems

  • Compliance-aligned execution
    Ensure workloads meet regulatory and internal requirements

  • Data & usage controls
    Restrict how data and models are used

Close up on computer code on a screen.
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03

Govern Execution

Close up on a modern CPU motherboard.

Control how workloads execute, ensuring every action operates within defined cost, policy, and performance constraints.
 

Capabilities

  • Execution path control
    Determine how and where workloads run 

  • Constraint-based decisioning
    Select execution paths based on defined limits

  • Cross-model coordination
    Control how models are used within workflows

  • System-level enforcement
    Apply constraints across the entire AI system

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04

Continuously Optimize 

Dynamically route workloads to minimize cost, latency, and risk, without manual intervention.
 

Capabilities

  • Dynamic workload routing
    Select optimal models and infrastructure in real-time

  • Adaptive optimization
    Adjust decisions as system conditions change

  • Performance-aware execution
    Balance latency, cost, and reliability automatically

  • Self-improving system behavior
    Improve execution decisions over time

A desk where system performance is being monitored.
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How It Works

A four step workflow describes how the Azaios platform works, ingesting workloads, evaluating them for cost, policy and execution constraints that get applied; selecting the optimal path that meets constraints and executing the workload.

Deployment & Integrations

Azaios is delivered as a remotely deployed platform that overlays with your existing infrastructure across AWS, Azure, GCP, and on-prem environments—without requiring changes to existing resources.  

With a wide range of out-of-the-box Enterprise integrations and software development environment plugins, organizations can be fully operational in just a few hours. 

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