Operate AI factories
with greater intelligence
and control

Move from reactive workflows to proactive operations through continuous infrastructure analysis and optimization.
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Maximize compute capacity.
Reduce operational risk.
Scale AI factory operations.

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Diagnose issues in seconds, not hours

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Reduce thermal instability under dynamic workloads

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Increase usable compute capacity per MW

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Scale operations without additional headcount

A unified control plane for AI factories

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Phaidra Prism

Start with intelligence & observability

Prism continuously analyzes infrastructure behavior across compute, power, and cooling systems to help operators identify:

  • icon-24 Operational drift
  • icon-25 Thermal instability
  • icon-26 Root cause
  • icon-27 Constraint conditions
  • icon-28 Correlated infrastructure events

Instead of navigating dashboards and alarm floods, operators receive contextual operational analysis explaining what changed, why it matters, and the recommended actions to resolve the issue.

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AI Agents

Move to real-time orchestration

Phaidra’s AI Agents build on Prism’s operational understanding to coordinate infrastructure decisions in real time. Starting with the Liquid Cooling Agent, Phaidra enables operators to:

  • icon-29 Prevent GPU throttling
  • icon-30 Maintain thermal stability
  • icon-31 Eliminate stranded power
  • icon-32 Dynamically optimize cooling systems

Continuous intelligence across the AI factory

Phaidra builds a living operational model of your unique facility, creating a site-specific knowledge graph that continuously learns from your infrastructure.
Step 1
Connect infrastructure systems
Step 2
Build a unified system-level operational model
Step 3
Continuously analyze infrastructure behavior
Step 4
Optimize infrastructure in real time
Understand
Decide
Act
Learn

Start with intelligence.
Scale into automation.