Reimagine the way you operate.

The energy transition is challenging our grids and grid operators. Kognitwin Grid is our new Industrial Work Surface for power grids, where data, technology and people come together to solve problems. Enabling operators to maximise the value of the grid of today – and of tomorrow.

Increase true collaboration by connecting data, people, and workflows

Get a holistic overview of your grid and its components.

The Industrial Work Surface facilitates a cloud-based environment where your data can be turned into actionable insights spanning across grid departments, user personas and voltage levels.

Solve problems, close out work and inform decisions

Like many other energy companies, use the Industrial Work Surface to enable better decision making, close out work and drive more value.

Break down silos and democratise data

With universal access to centralised data, engineers and operators are better positioned to maximise uptime, model and test grid scenarios, and expedite grid improvements.

This is Kognitwin® Grid

Your digital twin

Kognitwin Grid is a digital twin of the power grid, enabling grid operators to maximize the value of the grid of today – and of tomorrow.

Access data fast

Kognitwin Grid utilizes existing documentation across source systems to create a model of the grid. Replace siloed and fragmented data located in multiple systems with accessible contextualized data. Save time hunting for information and have intelligent, actionable data at your fingertips.

Kognitwin Grid has an always-on simulator engine that performs a full power flow analysis across all voltage levels, including forecasts of future near-time or long-term load flow in the power grid to increase insights and support decision-making from planning to operations. 

Scalable solution

Kognitwin Grid consists of modules that support the way you explore, monitor, optimize, study and maintain your power grid. The SaaS solution is flexible and scalable and can support grid operators that are both beginning, changing, or continuing their digital transformation.

Simulation

The simulation engine can help you forecast load and production down to metre level and perform a load flow analysis of the entire grid. The main output from the load flow is bottleneck detection and voltage quality.

Full visibility

In addition, the solution can include live and planned switch status to reflect the grid topology and identify disconnected areas correctly. This provides an always-on status of the power grid with possibilities to look into the past, present, and future.

All in One

The simulation engine collects, adapts, and contextualises data from different sources and systems to make them available for new applications and use cases.

How Kognitwin® grid supports your business objectives

Improve Grid Utilisation

Identify and forecast bottlenecks and voltage deviation in your grid based on load and production forecasting. Gain insight into overload risk and grid condition. Create scenarios to understand how to better utilize existing grid infrastructure.

Optimise investments

Plan and develop a future-proof grid by running long-term grid scenarios to assess impact of electrification and new intermittent energy.

Improve reliability

Be aware of upcoming operational situations and create scenarios including topology changes and/or the use of flexible assets to alleviate and reduce the risk of overload-based outages.

Take a closer look at the Industrial Work Surface

Learn more about Kognitwin's powerful capabilities in the Industrial Work Surface.

Learn more

Gather more insights by exploring more helpful resources

See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.

AI That Acts, Not Just Analyzes

AI has already reshaped heavy asset industries, but its biggest shift is happening right now: AI that doesn’t just support decisions - it takes action.

For years, AI has been used in the industry to enhance efficiency, automate workflows, and improve safety. But until now, it has largely remained a decision-support tool providing insights but leaving the final action to human operators. That paradigm is shifting.

Agentic AI represents a major evolution in artificial intelligence. According to Gartner’s Top Strategic Technology Trends for 2025, agentic AI will move beyond analysis and actively plan and execute tasks with minimal human intervention.

Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, a massive leap from today’s <1% adoption.

This shift is particularly transformative for asset-heavy industries like oil & gas, where real-time decision-making and operational efficiency are critical. At Kongsberg Digital, we are leading this evolution ensuring that AI not only provides insights but also takes intelligent, autonomous action, all while operating within clear governance frameworks.


Bridging the Gap Between Insight and Action

The real challenge in the industry isn’t a lack of data - it’s turning that data into meaningful action in real time.

Learn how industrial professionals plan to maximise AI's potential over the next few years in the free report "How AI is Shaping the Future of Work Across Industrial Sectors”.

While AI has helped operators make more informed decisions, agentic AI takes this further. It doesn’t just surface insights, it executes tasks autonomously. This will redefine efficiency, reduce manual intervention, and allow engineers to focus on high-value activities.

Imagine a digital co-worker that continuously monitors asset performance, predicts maintenance needs, and automatically adjusts operational parameters - all without human intervention. This is no longer a theoretical future; it’s a reality being enabled by agentic AI.

Why Agentic AI is a Game-Changer for Oil & Gas

Unlike traditional AI or robotic process automation (RPA), agentic AI doesn’t rely on predefined scripts. It learns, adapts, and makes goal-oriented decisions helping operators manage assets in dynamic environments with greater efficiency.

Gartner predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously by AI.

In heavy asset industries, this means:

• Faster incident response
• Improved safety measures
• Optimized energy usage

Many oil & gas companies are drowning in data but struggle to connect insights across business units. Agentic AI bridges these silos, ensuring real-time intelligence flows seamlessly between production, maintenance, and logistics teams.

Agentic AI can predict failures before they happen and autonomously schedule maintenance, order spare parts, and reroute workflows to ensure operations continue without disruption.

Trust and Governance: The Missing Piece

We believe trust is critical when AI moves from recommendations to action. AI-driven autonomy must operate within strict governance frameworks to ensure it aligns with business goals and regulatory standards.

That’s why we’re setting the benchmark for responsible AI—where automation is always accountable and built with clear security, compliance, and ethical guardrails.

"The future of AI in oil & gas isn’t about replacing human expertise - it’s about amplifying it. Agentic AI ensures that automation enhances decision-making, not bypasses it."

The Future: AI as a Digital Co-Worker

The next decade in heavy asset industries will not be about man versus machine, but rather man and machine working smarter together.

The companies that thrive will be those that embrace AI as a partner in operations. Agentic AI will fundamentally change how we manage assets, optimize resources, and drive sustainability in oil & gas.

As Gartner highlights, the companies that prepare now will gain the greatest competitive advantage. The transition from AI-assisted decision-making to fully autonomous operations is already underway.

Find out more on how you can prepare in the free industrial AI research report.

Are You Ready for the AI-Powered Future?

The shift to agentic AI is happening now. The question is: Will your company lead the change—or struggle to keep up?

Let’s explore how we can help your organization prepare for AI-driven autonomy.

Agentic AI in Heavy Asset Industries: The Next Step in Autonomous OperationsAgentic AI in Heavy Asset Industries: The Next Step in Autonomous Operations

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2-5 October 2023

ADIPEC →

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23-25 October 2023

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Houston, Texas

26 September 2023

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