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Energy and utilities

Streaming data and predictive models for critical assets.

Grid and utility operators run on streaming sensor data, on assets that must keep working and on strict reliability duties. We build the streaming platforms, predictive models and operational software around them.

Book a callFree quick checks

01 / Problems

Problems we often see

These are situations we meet in this sector. They describe common patterns, not your organisation.

  • Sensor data at a scale that is hard to useStreams from many assets arrive faster than teams can store, join and analyse them.
  • Maintenance that reactsMaintenance follows failures and fixed schedules, because the data to predict them is not in one place.
  • A platform that grew fastCost, access and delivery on the Databricks platform have not been reviewed since it went live.
  • Reporting duties across sourcesRegulatory and operational reports pull from several systems, and each one needs manual checks.

02 / What we build

What we would build

The services that fit these problems. Each links to its own page with deliverables and approach.

  1. Problems we often see
    • Sensor data at a scale that is hard to use
    • Maintenance that reacts
    • A platform that grew fast
    • Reporting duties across sources
  2. What we would build
    • Data platforms
    • IoT and computer vision
    • AI engineering
    • Operations software
  3. Where to start
    • Databricks platform self-check
    • Databricks health check
  • Data platforms. Streaming ingestion, governed storage and monitoring on Azure and Databricks, defined as code.
  • IoT and computer vision. Sensor and camera pipelines for asset monitoring, built to your constraints.
  • AI engineering. Predictive models and the engineering frame around them, with evaluation and monitoring in production.
  • Operations software. Tools for maintenance planning and reporting, connected to your asset and work-order systems.

Data platforms IoT and computer vision AI engineering Operations software

03 / Best first step

Where to start

Start with a free check, then take the first engagement that fits. Both end in a conversation, and we quote after that conversation.

  1. Databricks platform self-check

    Free check

    A quick self-check of your Databricks platform: governance, cost, delivery and security.

  2. Databricks health check

    Typical duration: 3 days

    If a Databricks platform already runs, review it first: cost, security, governance and delivery, ending in a prioritised fix list.

Take the checkAsk for a quote

Databricks health check

  • Cost and usage review
  • Security and governance findings
  • Delivery and CI/CD review
  • Prioritised fix list with effort

04 / Related work

Related case studies

Next step

Which sector problem is yours?

Tell us what you run today and where the manual work sits. We say whether AI or a data platform fits, and what a first step is.

Book a callSend a messageor email info@nexops.nl directly

Accepting projects for Q4 2026