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For the people who actually operate
AI factories
AI factories
Diagnose and act in seconds, not hours.
Alarm prioritization & triage
Prioritize and triage high volume alarms, with context for every alarm.
Automated root cause analysis
Automatically correlate signals across compute, power, cooling, and maintenance to identify root cause.
Natural language investigation
LLM guided investigation using documentation (SOPs, OEM manuals, SOOs) as reasoning context
Your best operators can’t be everywhere
Standardize performance and upskill operators.
Standardized operations
Enforce consistent decision making across all operators, not dependent on individual experience level.
Guided diagnostics
Guidance for operators to reduce mean time to diagnosis through prioritized issues and root cause analysis.
Faster onboarding
Reduce onboarding time and enable faster ramp for new operators.
You’re running AI factories with infrastructure that wasn’t designed
for them
for them
Increase usable compute capacity while reducing operational complexity.
Maximize tokens per watt
Improve tokens per watt by aligning compute demand with power and cooling response.
Scale with confidence
Accelerate time to capacity by stabilizing operations at higher density.
Reduce operational risk
Minimize risk of performance degradation and unplanned downtime.
