#London #United Kingdom #Applied Computing #Orbital 2.0 #energy model

Applied Computing Launches Orbital 2.0 at ADIPEC 2026

Applied Computing, a pioneering AI firm based in the UK, has revealed its latest innovation, Orbital 2.0, at the ADIPEC 2026 conference. This new version represents a significant leap forward in energy management technology, operating on a unique world model designed specifically for energy plants. Unlike its predecessor, Orbital 2.0 is not limited to recognizing patterns in data; it learns and understands the cause-and-effect relationships across an entire plant's operations.

The design of Orbital 2.0 focuses on a comprehensive understanding of how energy is produced, managed, and utilized. It does this by analyzing the physical interactions within the plant, such as the movement of heat and mass through equipment. This innovative approach allows Orbital to adapt and respond to engineers' needs dynamically, rather than being confined to static workflows.

World Model Architecture
Orbital 2.0 employs a world model architecture that effectively learns and evolves within each client's unique environment. Each customer receives a tailored model that retains their specific data and enhances itself continuously, providing insights that boost plant reliability and safety while optimizing production levels.

The AI technology provides operators with a bird's-eye view of their energy plants, enabling them to understand the impact of decisions before implementation. This capability significantly reduces risks and improves efficiency in energy management. The transformation of data analysis from a reactive to a proactive process could redefine how energy operations are conducted.

New Features of Orbital 2.0
The introduction of Orbital 2.0 is not just about a new architecture but also comes with a set of advanced features that empower users:

• - Customizable Dashboards: Engineers can either describe what they need or choose from Orbital's suggestions. The AI can automatically build a dashboard using live plant data without manual adjustments.
• - Self-Running Apps: Tasks that are regularly performed, like shift reports or balance checks, can now be automated through an app that Orbital creates with simple prompts.
• - Recursive Self-Learning: The AI continuously learns from its interactions with users and the data it processes, becoming more intelligent over time. This ensures that knowledge remains within the system, providing continuity even as personnel changes occur.

With these enhancements, Applied Computing aims to expedite the deployment of Orbital 2.0, reducing the setup time from weeks to days. This streamlined approach allows the company to handle multiple installations concurrently, facilitating faster advancements in energy operations across various industries.

Vision for the Future
Callum Adamson, the CEO and co-founder of Applied Computing, emphasized the mission of the company. He stated, “Our goal is to ensure that every energy system functions at its physical optimum. By delegating the customization and adaptation process to the engineers, we have removed the barriers that previously relied on our researchers.” This shift not only empowers engineers but also fosters an environment where continuous advancement in energy efficiency can thrive.

Dr. Samyakh Tukra, Chief AI Officer and co-founder, added, “The evolution from pattern recognition to a true understanding of cause and effect allows us to adapt to the ever-changing landscape of energy production and management.” This innovative approach positions Applied Computing at the forefront of the energy technology sector.

About Applied Computing
Established in London, Applied Computing specializes in developing AI solutions for energy operations. Orbital combines a physics-based intelligence framework with methodologies across chemical engineering and time-series forecasting. It serves numerous complex environments, from crude oil refineries to renewable energy sites. The company's recent funding, a $20 million Series A led by KBR, exemplifies the demand for advanced AI solutions in energy management.

As Orbital 2.0 makes its debut at ADIPEC, it marks a crucial step toward a more informed and efficient future in energy operations, ensuring that energy providers can navigate the complexities of modern energy infrastructure with confidence and accuracy.