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The First AI Operating System for Industrial Power

Oct 8, 2025
ziani-os
ai-agents
automation
bess-ems
predictive-maintenance

ZIANI OS eliminates human error from power operations. 27+ autonomous agents. Zero manual intervention.

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Manual power operations are dead.

Your operations team can't think in milliseconds. Can't predict failures weeks early. Can't optimize across 15 variables simultaneously.

ZIANI OS can.

The operations problem

Industrial power facilities still run on human decision-making:

  • Reactive maintenance: Equipment fails, then you fix it. Downtime costs $50K/hour.
  • Manual dispatch: Operators decide when to charge/discharge batteries. They're guessing.
  • Spreadsheet forecasting: Load predictions based on last year's data. Weather changes. AI workloads don't care about your spreadsheet.
  • Compliance by checklist: Monthly inspections that miss 90% of emerging issues.

The result: 10-15% unplanned downtime, $2M+ annual operational waste, and grid violations you don't see coming.

How ZIANI OS works

AI-Native Operating System

Not software on top of hardware. An OS kernel that orchestrates 27+ autonomous AI agents managing every layer of your power infrastructure.

The Agent Architecture:

Battery EMS Agent:

  • Manages charge/discharge cycles in real-time
  • 50% demand fluctuation reduction (proven on datacenter workloads)
  • ISO/RTO compliance (frequency, ramp rate, voltage)
  • Economic optimization (arbitrage + demand charge shaving)

POI Optimization Agent:

  • Calculates optimal demand trajectory over rolling horizon
  • Enforces operating bands and ramp rate limits
  • Grid compliance monitoring with violation prevention
  • Real-time adjustment for workload changes

Predictive Maintenance Agent:

  • Analyzes telemetry from thousands of sensors
  • Flags equipment anomalies weeks before failure
  • Schedules maintenance during planned downtime
  • Reduces unplanned downtime by 90%

Grid Compliance Agent:

  • Monitors IEC 61850 and IEEE 1547 standards in real-time
  • Prevents violations before they trigger penalties
  • Automated equipment adjustments for compliance
  • Complete audit trail for regulatory reporting

Economic Dispatch Agent:

  • Integrates real-time energy pricing
  • Optimizes battery dispatch for arbitrage
  • Demand charge forecasting and peak shaving
  • Grid services revenue capture when available

Solar/Wind Forecasting Agent:

  • Transformer-based weather prediction models
  • 15-minute rolling horizon forecasts
  • Generation vs. demand optimization
  • Curtailment avoidance strategies

Carbon Tracking Agent:

  • Equipment-verified carbon credit generation
  • Real-time kWh → CO2e conversion
  • Registry integration (VCS, Gold Standard)
  • MRV system with tamper-proof records

Security Agent:

  • Zero-trust architecture enforcement
  • Millisecond threat detection
  • Automated incident response
  • Compliance monitoring (SOC 2, ISO 27001)

...and 19 more agents managing everything from site assessment to EPC workflows.

The orchestration engine

27+ agents. One kernel. Zero conflicts.

Agent Coordination:

  • Sequential execution for dependent tasks
  • Parallel execution for independent operations
  • Conditional logic for scenario-based decisions
  • Collaborative workflows for complex optimization

Example: Morning Ramp-Up

  1. Forecasting Agent predicts solar generation and facility load
  2. Battery EMS Agent calculates optimal pre-charge strategy
  3. POI Optimization Agent sets demand trajectory and operating bands
  4. Economic Dispatch Agent checks energy prices for arbitrage opportunities
  5. Grid Compliance Agent verifies all parameters within ISO/RTO limits
  6. All agents execute in parallel — decisions made in milliseconds

Human role: Strategic oversight. Approval of major equipment changes. Everything else is autonomous.

The business impact

Operational Excellence

  • 99.95% uptime SLA (8,734 hours of power per year)
  • 90% reduction in unplanned downtime
  • <5 minute response to incidents (automated)
  • Zero grid code violations

Cost Reduction

  • $500K+ annual savings from avoided demand charges
  • $143/day energy arbitrage (typical datacenter)
  • 30% reduction in O&M costs (predictive vs reactive)
  • 20-30% battery life extension (SoC/SoH optimization)

Capacity Expansion

  • Add load without grid upgrades (BESS smooths demand)
  • ISO/RTO compliance enables capacity applications
  • Proven POI performance accelerates approvals

Proof you can see

Every ZIANI OS installation includes:

Live Telemetry Dashboard:

  • Sub-second monitoring across all equipment
  • Real-time agent execution status
  • Performance metrics vs targets
  • Incident logs with root cause analysis

BESS EMS Dashboard:

  • POI demand optimization with trajectory tracking
  • Grid stability metrics (frequency, voltage, power factor)
  • Battery health monitoring (SoC, SoH, cycle count)
  • Economic performance (arbitrage, demand charges, LCOS)

Predictive Maintenance Dashboard:

  • Equipment health scoring with failure predictions
  • Anomaly detection alerts with corrective actions
  • Maintenance schedule optimization
  • Historical failure analysis

Financial Dashboard:

  • Real-time cost tracking and ROI projection
  • Energy pricing integration and arbitrage opportunities
  • Demand charge forecasting and savings tracking
  • Carbon credit valuation and registry integration

The infrastructure reality

Manual operations can't compete with millisecond decisions.

AI workloads change in seconds. Weather shifts. Grid frequency varies. Energy prices fluctuate. Human operators can't process 27+ variables simultaneously while maintaining ISO/RTO compliance.

ZIANI OS can.

27+ autonomous agents. Zero manual intervention. 99.95% uptime SLA.

Not a product. An operating system that will run your industrial power infrastructure.

Request a proposal — we'll show you exactly how ZIANI OS will eliminate operational waste and deliver 99.95% uptime at your facility.

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