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Grand Thera
TheraOS data lineage graph for energy contract intelligence

Energy uncertainty becomes unit cost.

For energy-intensive operations, the price distribution, not the forecast, determines exposure. Hydrology, commodity shocks and contract structure combine into a cost range that production and treasury must decide against.

Use cases

Where energy and operations hit unit cost, and how the stack holds.

One fold per pain: what breaks, how Grand Thera's decision-grade AI stack resolves it, and an interactive figure to explore.

01 / 03

The pain

Energy price volatility lands directly in unit cost.

Hydrology, commodities and contract structure combine into a cost range, but plans are made on a single forecast.

How Grand Thera solves it

Price distributions, not point forecasts: AIT Agents simulate the fan of outcomes and the share that reaches unit cost.

Energy AITScenario engine

Contract coverage decided against the full distribution.

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Interactive figure · demonstration data

02 / 03

The pain

Raw-material variability destabilizes the line.

Input quality drifts, machine setup lags and OEE pays the price.

How Grand Thera solves it

TheraOS unifies quality, telemetry and production data; AITs recommend setup and anticipate maintenance before degradation.

TheraOSMaintenance AIT

Variability turned into a controllable operating variable.

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Interactive figure · demonstration data

AIT Agents

The agents that address these problems.

Choose an agent to see what it watches and what it brings to a decision. If yours is not here, we build it.

03 / 03

The pain

Unplanned downtime is discovered, not predicted.

Failure analysis depends on manual review across disconnected systems.

How Grand Thera solves it

Failure probability per asset and horizon, with service orders triggered on threshold breach.

Predictive AITCommand Center

Maintenance scheduled by risk, not by calendar.

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Interactive figure · demonstration data

Scenario

Contract coverage decides how much uncertainty reaches the P&L.

Loading figure: Contract coverage decides how much uncertainty reaches the P&L.

Lineage

From hydrology to production impact.

Energy contracts, forward curves, FX, hydrology and reservoir levels, commodity markets, plant consumption and production data feed models for fair contract price, energy regimes, exposure and production impact.

LineageProduct interface
TheraOS lineage view: energy contract portfolio, forward energy curves, FX and interest rates, hydrology, commodity markets, plant consumption and industrial production sources flow through transformations into ML models such as ContractFairPriceAIT, EnergyRegimeAIT and ProductionImpactAIT, and into outputs such as Fair Price, Regimes, Exposure and Scenario Lab.
TheraOS lineage view. Product interface shown with demonstration data.

Decisions supported

Where operations meet treasury.

  • Energy pricing exposure

    Price distributions and regimes, with the share of exposure that is contracted versus spot.

  • Industrial dependencies

    How a constraint in one plant or input propagates through production.

  • Operational uncertainty

    Output, downtime and demand uncertainty stated, not assumed away.

  • Cost propagation

    Energy and input shocks traced into unit cost and margin.

  • Scenario-based decisions

    Contracting, hedging and production choices compared under base and stress scenarios.

Quantify the energy exposure in your cost base.