Nokia launches AI and edge platform to help mining and construction industries, public safety, and defense organizations run safer, more resilient field operations

Nokia debuts its Cognitive Operations platform and rugged edge node to bring AI-driven intelligence and connectivity directly into mission-critical field operations.

Rhea-AI Summary

Nokia (NOK) launched Cognitive Operations (CO), a commercially available AI and edge platform that unifies mission-critical communications, accelerated edge computing and operational AI for mining, public safety and defense field operations.

The platform provides real-time site and asset intelligence through AI-agentic assistance, live 3D digital twins, video analytics, predictive maintenance and autonomous safety monitoring to improve resilience, visibility and reduce downtime. At the edge, Nokia’s Cognitive Edge Node (CEN) delivers rugged connectivity, AI-driven multi-access networking and on-device GPU-accelerated computing in vehicles and remote locations. CO supports on-premises deployment and is also available via the Microsoft Azure Marketplace, and launches with tailored applications for mining, emergency services and defense operations.

Key Figures

Vertical applications: 3 applications

Vertical applications

3 applications

Cognitive Operations launch

Key Terms

edge computing, digital twin, predictive maintenance, gpu-accelerated computing

4 terms

edge computing technical

"unifies mission-critical communications, edge computing and operational AI"

Edge computing is a technology that processes data close to where it is generated, such as sensors or devices, rather than sending it all to a distant central location. This allows for faster decision-making and reduces delays, much like having a local office handle urgent matters instead of waiting for instructions from a main headquarters. For investors, it signifies improved efficiency and real-time insights, which can enhance the performance of technology-dependent industries.

digital twin technical

"3D digital twins, video analytics, predictive maintenance"

A digital twin is a live virtual replica of a physical asset, process, or system that mirrors real-world behavior using data and models so users can test changes, predict problems, and measure performance without touching the real thing. For investors, digital twins matter because they can lower maintenance costs, speed product development, improve uptime and reliability, and make future cash flows and risks easier to forecast — like using a flight simulator to safely train and tune a real airplane.

predictive maintenance technical

"video analytics, predictive maintenance and resilient hybrid connectivity"

Predictive maintenance involves using data and technology to monitor equipment or machinery in real time, identifying potential problems before they cause failures or breakdowns. By predicting when maintenance is needed, it helps prevent costly repairs and downtime. For investors, it highlights how companies can reduce expenses, improve efficiency, and maintain reliable operations, which can positively impact financial performance.

gpu-accelerated computing technical

"With embedded on-device GPU-accelerated computing"

GPU-accelerated computing uses graphics processors—chips with many small cores—to perform large numbers of similar calculations at once, speeding up tasks like machine learning, data analysis, and complex simulations. For investors, it matters because companies that adopt GPU acceleration can process data faster, enable new products or services, and reduce time-to-market or operating costs, all of which can affect revenue potential, margins, and capital spending decisions.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Press Release

Nokia launches AI and edge platform to help mining and construction industries, public safety, and defense organizations run safer, more resilient field operations

• Nokia introduces Cognitive Operations (CO), a new commercially available platform that unifies mission-critical communications, edge computing and operational AI in a single field-deployable system, initially for the mining, public safety and defense markets.
• Nokia’s CO gives operational teams real-time site and asset intelligence, combining AI assistance, 3D digital twins, video analytics, predictive maintenance and resilient hybrid connectivity to improve visibility, reduce downtime and keep mission-critical operations running in tough environments.
• New platform supports deployments on-premises with local IT infrastructure or hosted on Microsoft Azure Marketplace.

10 September 2026

Espoo, Finland – Nokia today launched Cognitive Operations (CO), a new platform that unifies mission-critical communications, accelerated edge computing, and operational AI for industries where failure in field operations is not an option.

Nokia’s CO enhances site and asset intelligence for operational teams, whether they are managing and keeping a mine site connected, enabling emergency vehicles to share live incident awareness, or operating on the battlefield. These teams will benefit from AI-agentic assistance, a live 3D digital twin of operations, real-time video analytics, predictive maintenance and autonomous safety monitoring. The result is greater operational resilience, reduced downtime and continuous visibility. Nokia’s CO also creates a dynamic hybrid wireless network fabric with no single point of access failure, helping keep mission-critical operations running in the toughest environments.

“The convergence of AI, edge computing, and mission-critical communications is becoming a key requirement for organizations seeking to improve operational performance and worker safety. Nokia’s Cognitive Operations platform demonstrates how these capabilities can be integrated to provide actionable intelligence and more reliable, resilient operations across industrial environments,” said Ildefonso de la Cruz Morales, Senior Principal Analyst, Omdia.

At the edge of the new platform is Nokia’s Cognitive Edge Node (CEN), a rugged network and edge compute platform that combines advanced connectivity, AI-driven multi-access networking and accelerated edge computing. With embedded on-device GPU-accelerated computing, the Cognitive Edge Node increases intelligence in field-deployed vehicles and remote locations.

“This launch is a defining step in Nokia’s promise to deliver connected intelligence. Our Cognitive Operations solution extends AI directly into the field, enabling real-time intelligence where physical operations happen. Together with our partners Microsoft Azure and Rajant, we are building a future-ready system for autonomous mission-critical infrastructure, with public safety agencies, defense forces, and mining/construction companies leading the way,” said Lelio Di Martino, General Manager of Cognitive Operations for Nokia.

The CEN is designed with an ecosystem of partners in mind. Among other access technologies, Nokia has collaborated with Rajant, the pioneer of Kinetic Mesh® wireless networking, to integrate Rajant’s InstaMesh® technology directly into the Cognitive Edge Node.

“This collaboration offers the best of both companies’ core strengths to customers, whether it’s a more resilient wireless network or an integrated AI platform,” said Sagar Chandra, Executive Vice President of Global Sales, Rajant Corporation.

CO is launching with three vertical applications:

Cognitive Operations for mining is Nokia’s flagship product for the mining industry, bringing CO’s full AI platform to the mine operations through resilient communications delivered by the Cognitive Edge Node. CO for mining is available for both on-premises deployment and for on-cloud deployment through the Microsoft Azure Marketplace, enabling mining operators to deploy the solution in days.

For public safety and emergency services, Cognitive Operations for emergency services introduces the Vehicle as a Node (VaaN) concept, where every response vehicle equipped with the Cognitive Edge becomes an autonomous intelligence and communications node. Police cars, fire trucks, and ambulances self-organize into a distributed field intelligence network at the incident scene, sharing a live 3D situational picture, processing video analytics locally, and maintaining communications across 5G, Wi-Fi and satellite.

For defense and tactical military operations, Cognitive Operations for defense extends the platform to the battlefield edge, where resilience and real-time intelligence are critical. Every vehicle, unit, and forward asset becomes a secure, self-organizing node in a distributed tactical network. Forces share a live, unified situational picture, leveraging on-device AI for sensor fusion, video analytics, and threat detection, while maintaining assured communications across 5G, tactical radio, and satellite in contested environments.

Multimedia, technical information and related news
Website: Cognitive Operations solution page
Website: Nokia Cognitive Edge product page
Data sheet: https://www.nokia.com/asset/215508
Brochure: https://www.nokia.com/asset/215507

About Nokia

Nokia is the world's leading provider of network technology and enables a new era of artificial intelligence. We are developing the networks of the future that connect people, devices and intelligence. Our network solutions span fixed and mobile networks, as well as IP, optical, core, and data center networks. Our secure, AI-native network infrastructure enables the application and utilization of AI on a global scale.   

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FAQ

Which industries are the initial focus for Nokia’s Cognitive Operations platform?

CO is initially targeted at three markets: mining, public safety and emergency services, and defense and tactical military operations. Each has a tailored application that uses the same underlying platform, edge hardware and AI capabilities.

How can Cognitive Operations be deployed by customers?

Cognitive Operations supports two main deployment models. It can run on-premises using local IT infrastructure, or be hosted in the cloud via the Microsoft Azure Marketplace, which the company says enables some mining operators to deploy the solution in days.

What is the role of the Cognitive Edge Node (CEN) in the solution?

The Cognitive Edge Node is a rugged network and edge compute platform at the field edge. It combines advanced connectivity, AI-driven multi-access networking and GPU-accelerated on-device computing, increasing intelligence in field-deployed vehicles and remote locations while helping create a hybrid wireless network fabric with no single point of access failure.

How does Nokia’s collaboration with Rajant fit into Cognitive Operations?

Nokia has integrated Rajant’s InstaMesh technology, from the Kinetic Mesh wireless networking portfolio, directly into the Cognitive Edge Node. The companies state that this collaboration brings together resilient wireless networking and the CO AI platform to offer customers a more resilient network and integrated AI capabilities.

What specific capability does CO offer for emergency services?

Cognitive Operations for emergency services introduces the Vehicle as a Node (VaaN) concept. Each response vehicle equipped with the Cognitive Edge becomes an autonomous intelligence and communications node, forming a distributed field intelligence network that shares a live 3D situational picture, processes video analytics locally and maintains communications across 5G, Wi‑Fi and satellite.

How is Cognitive Operations used in defense and tactical military operations?

For defense, Cognitive Operations extends to the battlefield edge, where each vehicle, unit and forward asset acts as a secure, self-organizing node in a distributed tactical network. Forces share a live unified situational picture and use on-device AI for sensor fusion, video analytics and threat detection, while maintaining assured communications across 5G, tactical radio and satellite in contested environments.

Where can technical information and collateral on Cognitive Operations be accessed?

The announcement points to several resources: a Cognitive Operations solution page, a Nokia Cognitive Edge product page, a data sheet at https://www.nokia.com/asset/215508 and a brochure at https://www.nokia.com/asset/215507 for more technical and product details.