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    Energy and utilities

    How do we modernize network operations and respond faster to every incident?

    Utilities’ technical systems don’t scale with manual processes and slow responses — and quality indicators demand an immediate response. We modernize these systems and turn field data into decisions.

    Starts with: IT operations

    Find where to start →

    A team monitoring network indicators in a control room

    What we offer

    • Digital map of assets

      Poles, power lines, transformers and pipes in a precise geographic inventory.

      Also known as: GIS · Geospatial asset inventory

    • Real-time network management

      Monitor distribution, locate faults and restore service faster.

      Also known as: ADMS · Advanced distribution management

    • Field crews

      Dispatch, routing and mobility so crews get where they are needed faster.

      Also known as: Workforce · Dispatch and mobility

    • Integrated smart metering

      Smart meter data connected to billing, network and customer service systems.

      Also known as: MDM integration · Meter Data Management

    • Asset maintenance

      Preventive, predictive and corrective maintenance planned from each asset’s data.

      Also known as: Maintenance management

    Processes Semantix AI Suite runs in your sector

    Examples of application

    • Field service ordersThe customer’s call becomes an order with crew, materials and priority.
    • Meter reading and billingOut-of-pattern readings flagged before the bill goes out.
    • Consumer serviceBill copies, reconnection and questions handled on any channel.
    See the business areas →

    By the numbers

    • 35–45%

      reduction in outage duration and frequency (DEC/FEC)

      Source: Semantix results at power utilities

    • 20–30%

      decrease in technical and non-technical losses

      Source: Semantix results at power utilities

    • 30–40%

      increase in field crew productivity

      Source: Semantix results at power utilities

    • ~99%

      accuracy in the asset inventory

      Source: Semantix results at power utilities

    Cases

    Results from real projects

    Clients are not named, for confidentiality.

    • Energy and utilitiesData platform

      Forecasting regulatory penalties at a power distributor

      Challenge
      Fines for long outages, fragmented low-quality data and indicators calculated by hand.
      What we did
      A lakehouse with a medallion architecture (Bronze, Silver and Gold) on Databricks in Microsoft Azure, machine learning forecasts, a penalty simulator and dashboards.
      • 36%more accurate than the business team’s forecast
      • R$ 3.4Min avoidable fines

      Expected result · Forecast measured in the pilot; the avoided fine is an expected resultDatabricks · Microsoft Azure

    • Energy and utilitiesAI agents

      AI agents that recover tax credits

      Challenge
      More than 112,000 entries per quarter and extensive tax law, all reviewed by hand.
      What we did
      An orchestrator agent and nine agents specialized by type of service, identifying PIS and COFINS tax credits.
      • 90%precision in identifying credits
      • +R$ 20Min credits identified per month

      Measured result

    • Energy and utilitiesForecasting and planning

      Consumption forecasting in the free energy market

      Challenge
      Consumption and billing for thousands of clients that were hard to predict, with a risk of penalties.
      What we did
      Hourly forecasts per client and per market using external data, energy balance reports and scenario dashboards.
      • +2,000consumer units forecast hour by hour

      Measured resultAWS

    • Energy and utilitiesRisk and fraud

      Anomaly detection in power plants

      Challenge
      Operating limits that were hard to set and outages that reduce sellable energy.
      What we did
      Unsupervised models on sensor time series, model life-cycle management and an anomaly dashboard.
      • Month 1first significant anomaly detected

      Measured resultAWS

    • Energy and utilitiesOptimization

      Risk and return in an energy portfolio

      Challenge
      A concentrated portfolio of futures contracts.
      What we did
      Portfolio optimization with Monte Carlo simulation, backtesting and decision dashboards.

      Delivery

    See all cases

    Clients in this sector

    • Petrobras
    • Shell
    • TotalEnergies
    • CPFL
    • Cemig
    • Enel
    • EDP
    • AES Eletropaulo
    • Sabesp
    • Embasa
    • Compesa

    Display of brands subject to usage authorization.

    Every sector has its own bottleneck

    The method does not change: we understand the problem, map the workflow, check what already exists and define a first step with real impact.

    Talk to Semantix

    Not sure what a term means? That’s fine

    Nobody should have to speak technology to understand a transformation.

    Enterprise AI Company
    A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
    Hybrid workforce
    AI agents handle the volume; specialists decide the exceptions and the risky cases.
    Operation that learns
    Every human decision becomes knowledge, so the next similar case is faster and cheaper.
    Outcome-based contract
    You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
    Context
    Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
    AI
    Computers able to perform tasks that would normally require human intelligence.
    Agent
    An AI system that can carry out tasks using tools.
    Workflow
    The path a piece of work travels inside a company.
    API
    A way of letting systems talk to each other.
    Cloud
    Computing and storage reached over the internet.
    Data Platform
    An environment that organizes and serves the company’s data.
    Agentic AI
    AI that can understand goals and carry out tasks within defined limits.
    AI Harness
    The structure that supplies the context, tools, rules and controls an agent needs to act safely.