Demand is growing faster than the grid was planned for, critical equipment takes years to replace, and fuel costs move daily. Aera senses changes across load, supply, cost, and emissions; recommends actions that keep the grid reliable and costs down; and executes them in your systems in real time.
The data already exists in your systems. The cost lands in what happens between the data and the action.
New data center and electrification load arrives faster than a periodic plan can absorb, and the grid has to balance it in real time.
Transformers and switchgear rely on a thin supplier base, so one disruption can stall a grid project before anyone sees it coming.
Fuel and power prices shift daily, while the procurement and dispatch decisions that answer them still run on spreadsheets.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Utilities teams see the payoff in five areas of the business.
Load is forecast continuously by region and customer segment, factoring in weather, seasonality, and new data center and electrification demand, with generation and distribution plans adjusted as grid signals move.
Supplier performance, single-source exposure, and external risk signals are monitored across transformers, switchgear, and cables, with supplier mix and safety stock adjusted before a shortage delays a project.
Fuel spend is analyzed across suppliers and contract types, dispatch is matched to plant efficiency, and renewable availability is weighed against fossil costs, so power comes from the cheapest viable source.
Emissions are monitored by plant, source, and region against carbon targets, with generation mix shifts and efficiency improvements recommended before a deviation becomes a breach of a clean energy mandate.
Routine forecasting, procurement, and dispatch decisions run without a planner in the loop, and only the critical exceptions surface for review, so the time goes to the grid and capital calls that need judgment.
Aera was named a Leader in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. In the companion Critical Capabilities report, Aera scored among the highest across all four use cases.
Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026. Gartner, Critical Capabilities for Decision Intelligence Platforms, Carlie Idoine, David Pidsley, Kevin Quinn, Gareth Herschel, Kjell Carlsson, 27 January 2026. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates.
Prepackaged decision logic your teams can run on day one, tuned to surging load, long equipment lead times, fuel price volatility, and carbon mandates.
Recommends load balancing and demand response actions by region and customer segment, then executes adjustments to generation schedules and distribution plans in real time.
Recommends the supplier mix for transformers, switchgear, and grid equipment based on cost and reliability, then executes supplier reallocation and safety stock strategies.
Recommends fuel sourcing and blending strategies to reduce generation costs, then executes power generation schedule adjustments and fuel procurement decisions.
Recommends generation mix shifts and plant efficiency improvements to minimize emissions, and triggers low-carbon alternative workflows when targets are at risk.
How decision intelligence handles surging load, critical equipment risk, fuel cost volatility, and carbon mandates, with four Skills built for utilities.
What changes when demand forecasting, fuel procurement, and grid decisions stop running as separate processes.
