Specialist intelligence for utilities
Engineering to understand.Data to give context.Technology to scale.Intelligence to decide.
Balance is the decision layer for water, wastewater and energy utilities. We structure data where generic platforms stop and forecast deviations before they turn into incidents, delivering decisions at the two ends that matter most: governance that protects targets and returns, and operations that act before the alarm.
Our view
Utilities already have more screens than they need. What they lack is the capacity to interpret what is happening and act on it.
SCADA, GIS, billing, ERP, telemetry and BI each do their job. The gap opens when a situation requires connecting different contexts, understanding the impact and setting the priority for action.
One product, three fronts
One specialist platform, three fronts that deliver results.
Data, governance and operations are the same utility intelligence applied to three concrete gains: structured, predictive data; protected regulatory targets and returns; and problems solved before they become alarms. Start with the front that has the greatest impact, and the utility gains more as the three work together.
Data
We specialize in utility data. We structure data and give it context where generic platforms stop, and we carry it all the way to prediction.
Explore the PlatformGovernance
Regulatory compliance and shareholder return in a single view, with the trend for every target. The perspective of those who set the course.
See GovernanceOperations
Anticipate the problem before it becomes an alarm, with work arriving already prioritized, from the first risk signal to action in the field. The daily routine of those who run the network.
See OperationsThe product
Specialist agents do the work.
Balance operates above SCADA, GIS and billing. A context core orchestrates specialist agents organized by function, each assigned to a real problem in the industry, and you access the decision through three modules.
- LossesSeparates physical from commercial loss and prioritizes action.
- OperationsAnticipates failures before they reach the customer.
- Commercial EfficiencyRecovers revenue on evidence rather than effort.
- Energy EfficiencyCuts the energy cost of the utility's own operations.
- RegulatoryKeeps compliance running continuously.
- Asset ManagementAnticipates asset failure before it causes an outage.
- ContinuityTreats service continuity as financial exposure.
Specialization
Built for your industry rather than adapted from a generic model.
Depth comes from domain knowledge. Water and wastewater utilities and energy utilities each have their own systems, their own agents and their own regulatory language, with the industry's engineering context built into the product.
Water & Wastewater
Applied to the water balance and to operations: real and apparent losses, water and wastewater operations, commercial efficiency and regulatory compliance, with seven specialist agents in production and alignment with IWA, SINISA and Brazil's Sanitation Legal Framework.
Explore Water & Wastewater
Energy
Applied across the power value chain, from generation to retail, with distribution as the initial focus: technical and non-technical losses, continuity measured by DEC and FEC, and commercial efficiency at the customer end, with a regulatory case built specifically for ANEEL, Brazil's electricity regulator, and PRODIST.
Explore EnergyWhat sets us apart
Generic AI falls short. The industry needs specialist AI.
The market already offers horizontal data and AI platforms that are powerful but devoid of context. To get decisions out of them, a utility has to build a data team, model the industry from scratch and maintain all of it, which is exactly where most efforts stall. Balance starts from the opposite end. It is specialist AI with the industry's engineering already built into the product, and it returns decisions without asking you to build the intelligence yourself.
Generic AI
- Horizontal data and AI platform with no industry context
- Reads the data without knowing what a given number means
- Requires its own team and months of modeling before it creates value
- The intelligence depends on whoever implements it, not on the product
Specialist AI
- Industry process engineering built into the product
- Understands the process: what is an anomaly, what is a risk, what is urgent
- Delivers decisions from the first cycle without an army of data scientists
- The specialization belongs to the product and is auditable end to end
Talk to Balance
Turn your operational data into decisions.
Book a demo and see Balance applied to your industry, running on the systems your utility already uses.