Energy

The decision layer for the power value chain.

Balance applied to distribution and the wider power value chain: technical and non-technical losses, continuity measured by DEC and FEC (Brazil's SAIDI and SAIFI), asset management and compliance with ANEEL, Brazil's electricity regulator, all running on the systems the utility already operates and backed by an auditable base.

  • Runs on top of the SCADA, EMS, GIS and billing systems you already have
  • Native integration through MCP and an API-first architecture
  • Continuity managed as a financial figure as well as an operational one
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Isometric view of a power substation yard with transformers and transmission towers.

Market context

An industry under pressure on continuity, losses and mandatory investment.

Distribution today operates under three simultaneous pressures. The regulatory one comes from ANEEL holding utilities to DEC and FEC continuity standards and loss limits. The economic one comes from an aging grid and from technical and non-technical losses eroding the regulated margin. The capital one exists because the regulator itself has made investment in research and intelligence a mandatory target for the cycle. Utilities that turn that obligation into operational results start ahead.

R$ 130B in grid modernization projected by ABRADEE, the Brazilian association of distributors, through 2030
DEC · FEC continuity enforced by ANEEL, with penalties for deviations
Target investing in research and AI is now an obligation of the regulatory cycle
Cycle a fixed maturation period, so those who start early gain the advantage

The problem

Systems that are strong in their own domain, with decisions fragmented between them.

SCADA and EMS track operations, GIS holds the network records, the billing system controls invoicing and metering, asset management keeps the equipment register and BI consolidates the indicators. Each one does its job well, and none was designed to link an operational alarm to commercial loss and to the regulatory dashboard.

The effect shows up every day. Senior operators spend their shift triaging alarms, and the indicators that define financial exposure, such as DEC, FEC and AMPERE, are usually calculated after the fact at cycle close, when there is no longer any room to act on them.

Isometric view of a power transformer in a substation.

Where Balance works

The same base applied to all four links of the power value chain.

Generation, transmission, distribution and retail all show the same symptom: strong systems and fragmented decisions. Balance adapts to each link by combining its own systems and indicators. Distribution is the initial focus because that is where the most validated depth exists.

  1. 01

    Generation

    Plant availability and efficiency, predictive asset maintenance and research and development targets.

  2. 02

    Transmission

    Availability of lines and substations, technical losses and the indicators that affect Permitted Annual Revenue.

  3. 03 Initial focus

    Distribution

    Technical and non-technical losses, continuity measured by DEC and FEC, and commercial efficiency at the customer end.

  4. 04

    Retail

    Billing, delinquency and commercial efficiency in both the regulated and the free market.

The energy balance

From energy generated to revenue billed, value slips away at every stage.

Each link gives the same loss a different name. Balance reads the entire chain as a single result and shows where value is lost between what was generated and what became revenue.

Generated
Transmitted
Distributed
Technical losses energy dissipated in the network itself
Metered
Non-technical losses theft, fraud and inconsistent metering
Billed
Isometric view of a power substation, with structures and insulators.

The platform applied

Balance reading grid operations, with seven agents deciding on top of them.

Balance integrates SCADA and EMS, GIS, billing, asset management and smart metering without duplicating databases, through native MCP integration and an API-first architecture. It organizes the intelligence above those systems and cuts root cause diagnosis from about 42 minutes of manual work to 6 minutes.

Balance does not replace SCADA, EMS, GIS or ERP. It runs on top of them and fills the integrated decision layer above those systems, which had no occupant until now.

The agents

Seven specialist agents, one shared context base.

Each agent is trained on the real operations of the power industry. For each one: its function, how Balance solves the problem and a sample reading.

Access interfaces
Insight Decisions for the executive team
Chat Talk to your data
Field Intelligence in the field
Balance Intelligence Core Orchestrates the agents with the operational, commercial and regulatory context of the power industry.
T and NT Losses Separates network loss from loss at the customer end, feeder by feeder. Virtual Operator Turns the flood of alarms into root causes in real time. Assets Anticipates asset failure before the outage and the penalty. Energy Efficiency Cuts the cost of the utility's own consumption. Regulatory Keeps indicators calculated and traceable to avoid disallowances. Delinquency Prioritizes debt recovery by highest return. Continuity Treats DEC and FEC as financial exposure, ahead of cycle close.
Seven specialist intelligences with a single purpose: turning data into decisions that make an impact.
  • T and NT LossesSeparates network loss from loss at the customer end, feeder by feeder.
  • Virtual OperatorTurns the flood of alarms into root causes in real time.
  • AssetsAnticipates asset failure before the outage and the penalty.
  • Energy EfficiencyCuts the cost of the utility's own consumption.
  • RegulatoryKeeps indicators calculated and traceable to avoid disallowances.
  • DelinquencyPrioritizes debt recovery by highest return.
  • ContinuityTreats DEC and FEC as financial exposure, ahead of cycle close.

The seven agents in depth

Technical and Non-Technical Losses

Separates network loss from loss at the customer end, feeder by feeder, with a criticality ranking.

Combines operational and commercial data to distinguish technical loss, inherent to the network, from non-technical loss caused by theft, fraud and metering errors, and ranks feeders on combined physical and financial criteria.

Sample reading

Overall loss at 14.8%, non-technical loss at 5.2% and an impact of R$ 18.4M a year, with one feeder at 24.3% loss and 89% confidence in the diagnosis.

Virtual Operator for the Operations Center (COT/COI)

Turns the flood of alarms into root causes and guided response in real time.

Correlates SCADA and EMS alarms, explains the root cause and guides the contingency response while the event is unfolding, so the operator can make decisions instead of triaging alarms.

Sample reading

Average diagnosis time of 6 minutes, compared with about 42 in the manual process, across 9 critical events a day and R$ 680K a day in avoided exposure.

Asset Management and Predictive Maintenance

Anticipates asset failure before it turns into an outage and a penalty.

Assesses the health of transformers, switches and cables and estimates the probability of failure for each asset, prioritizing intervention by risk instead of waiting for the failure.

Sample reading

234 assets at risk, 12 failures projected within 30 days and R$ 4.2M in avoidable operating costs.

Commercial Efficiency and Delinquency

Prioritizes debt recovery by the cases with the highest return.

Analyzes billing, metering and customer records to direct debt recovery and the correction of commercial inconsistencies on evidence rather than uniform effort.

Sample reading

6,847 delinquent accounts and a delinquency rate of 3.8% against a 3% target, with potential recovery of R$ 9.4M a year at an operating cost of 12%.

DEC and FEC Continuity

Treats continuity as financial exposure, ahead of cycle close.

Integrates continuity indicators, PRODIST compliance and weather data to anticipate outage risk feeder by feeder.

Sample reading

Cumulative DEC at 11.4 hours and FEC at 7.8 interruptions, with a projected penalty of R$ 2.1M. A single feeder accounts for 54% of DEC after a weather event.

Compliance and Regulatory Indicators (ANEEL)

Keeps indicators calculated and traceable on a continuous basis, avoiding disallowances.

Monitors regulatory indicators, simulates scenarios and produces structured reports, moving from reactive calculation to anticipatory management.

Sample reading

AMPERE indicator at 68%, close to the 70% disallowance threshold, with the result projected to land between 86% and 89%.

Energy Efficiency and Own Consumption

Cuts the cost of the utility's own consumption, with a direct return.

Analyzes consumption at substations and auxiliary systems and shows where the utility can gain efficiency in its own use of energy. It is the agent with the most immediate return and the best place to start.

Sample reading

Consumption of 0.892 MWh a day per substation, at a cost of R$ 892K a month, with potential savings of R$ 134K.

Consolidated result

Taken together: about R$ 9.4M a year in recoverable delinquent revenue, R$ 4.2M in avoidable maintenance operating costs, and around R$ 14M in disallowance risk that no longer materializes.

Why now

The regulatory obligation to invest in intelligence has become a real urgency.

The power industry is not facing a choice about whether to invest in artificial intelligence. The regulator has made that investment a mandatory target for the cycle, with financial risk for those who fall short. The question is no longer whether to invest, but whether that investment will come back as compliance on paper or as operational results.

Balance exists for the second outcome. It frames what is already an obligation and returns managed continuity, prioritized losses and anticipated asset failures, all on the utility's actual operations. The current cycle favors those who start early, because the period for maturing and proving results is fixed and will not wait.

Talk to Balance

See Balance reading your power utility's operations.

Book a demo and follow Balance from losses to the regulatory indicator, running on the systems your utility already uses.

The figures shown in each agent's examples are illustrative and are meant to demonstrate how Balance reads the data and calculates results. They are not measurements from any specific utility.