Valmet has introduced the Valmet DNAe Optimization Suite, a new software portfolio developed to help process industries improve operational performance, increase efficiency and support long-term digital transformation goals. The scalable suite is designed to be deployed in facilities using Valmet automation platforms as well as plants operating with third-party control systems.
The launch represents another step in Valmet’s strategy to advance intelligent industrial operations. The solution has been developed to support organisations seeking better production stability, higher throughput and improved energy performance while maintaining reliable process control.
According to Valmet, the new suite allows engineering teams to create, configure and deploy optimisation applications independently. Customers can also collaborate with Valmet specialists when additional expertise is required.
Process optimisation remains a priority across many industries. Manufacturers continue to face pressure to improve productivity while reducing operational costs. Energy consumption is also under increasing scrutiny. The newly launched software suite has been designed to address these challenges through a structured optimisation workflow.
The Valmet DNAe Optimization Suite can be applied across entire production facilities or targeted subprocesses. This flexibility makes it suitable for a broad range of industrial environments. Applications include circular economy processes, hydrogen production facilities, chemical manufacturing plants and refining operations.
The software supports a continuous workflow that links performance monitoring, application development and operational improvement. Improvement opportunities can be identified through dashboards and key performance indicators. Process data can then be analysed to build and validate optimisation models. Once validated, advanced control applications can be implemented to enhance efficiency, process stability and production output.
A significant feature of the suite is its ability to support machine learning model development within industrial environments. Models can be created and operated on-premise, allowing organisations to utilise their existing infrastructure. Seamless database integration is provided. Direct connections to operational applications and control systems are also available.
This capability enables industrial teams to transform operational data into actionable insights. Decisions can be supported by real-time information. As a result, plant performance can be continuously refined.
The optimisation suite forms part of the wider Valmet DNAe technology ecosystem. Valmet continues to invest in expanding this platform through the addition of new digital tools, enhanced functionality and artificial intelligence capabilities.
The company believes these developments will strengthen cooperation with value-added resellers, original equipment manufacturers and industrial customers. Greater collaboration is expected to support sustainable growth throughout process industries.
The software has been designed with scalability in mind. Facilities can adopt individual applications or implement broader optimisation strategies across multiple production units. This approach allows organisations to align deployment with operational priorities and investment plans.
Integration with the Valmet DNAe Distributed Control System has also been enabled. Commissioning processes can therefore be simplified. Lifecycle management activities can be streamlined as well. However, the solution is not limited to Valmet users. It can also be implemented as an independent optimisation layer within facilities operating alternative control platforms.
The application portfolio includes several advanced technologies. Model predictive control capabilities are available to support sophisticated process management. Non-linear rule-based methods have also been incorporated for advanced process control applications.
Additional functionality includes virtual sensing capabilities and an extensive calculation library. These tools support process estimation and online modelling activities. Controller design applications are also included. Furthermore, users can develop analytics solutions and customised operational dashboards.
Several operational benefits can be achieved through these technologies. Process variability can be reduced. Production consistency can be improved. Energy usage can be optimised. Throughput levels can also be increased while maintaining stable operating conditions.
The move reflects a wider trend within industrial sectors. Manufacturers are increasingly adopting digital technologies to improve competitiveness. Data-driven optimisation tools are becoming essential components of modern industrial strategies. The demand for autonomous and semi-autonomous operations continues to grow.
Valmet has positioned the DNAe Optimization Suite as a solution that supports this transition. By combining analytics, advanced control technologies and machine learning capabilities, the company aims to help customers move closer to autonomous production environments.
Headquartered in Espoo, Finland, Valmet is recognised as a global technology provider serving process industries worldwide. The company delivers technologies, services, automation solutions and flow control systems throughout the industrial lifecycle.
Valmet draws on more than 225 years of industrial expertise. Its workforce includes approximately 18,500 professionals operating in around 40 countries. The company reported net sales of approximately EUR 5.2 billion in 2025. Valmet’s shares are listed on the Nasdaq Helsinki exchange.
With the introduction of the Valmet DNAe Optimization Suite, the company continues to expand its digital automation portfolio. The latest development is expected to help industrial operators improve performance, strengthen operational resilience and advance their journey towards more intelligent and autonomous operations.
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