AURA VOLT
Optimizes the production mix, anticipates maintenance and arbitrates CO₂ quotas.
Energy-production data lives in silos: OSIsoft PI, GE iFix, Schneider EcoStruxure, plus market trading platforms. Price, weather and emissions models are disconnected. Computing the real margin of an asset takes hours of manual reconciliation.
VOLT continuously arbitrates production mix, maintenance windows and carbon quotas. Every trade-off is argued with price curves, asset availability and ETS constraints — opportunity cost becomes visible in real time.
What VOLT does for you.
VOLT reasons across the entire production fleet: nuclear, thermal, hydro, renewables. It cross-references spot prices, grid constraints, maintenance plans and CO₂ quotas to propose optimal scheduling. Every recommendation cites its source, its price assumption and the expected P&L impact.
Targeted read: only the data relevant, impactful or critical to this business enters the ontology. No full IS replication.
What you activate
from day one.
Illustrated on Energy Production.
True beyond.
The examples above rely on the AURA VOLT sector. The principles below, however, hold for any organisation steering a real operation — regardless of the business.
No generative AI reasons correctly without an explicit representation of business concepts. The model comes after meaning.
Legacy stays in place. AURA reads, never writes, never moves data. Switching cost is zero, full reversibility.
Every recommendation is tied to the source attributes that produced it. Reproducible. Contestable. Auditable.
Value arises at the intersection of constraints — finance, ops, compliance, customer. AURA arbitrates; it does not optimise one silo.