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INNOVATION & TECHNOLOGY ANNUAL 2021
Avalone Consultants Avalone Consultants are involved in a range of digitalisation activities and high tech product development. Our roots are in process engineering and software development in the energy industry, and our focus now is to drive efficiency and productivity using cutting edge technological solutions, which build on our base of knowledge and experience in the industry. Avalone’s founders both have a combined background in process engineering and computer software, and have worked together to deliver hi-tech solutions in the energy industry for many years.
WELCOME TO THE BLOCKCHAIN ERA
Specialties include building digital twins Avalone Blockchain - A full lifecycle backed up by process simulation, flow blockchain product assurance, full stack software development, and DLT/blockchain. Specific examples igitalisation in the energy industry include the delivery of full digital twin continues to develop at a rapid plant simulations, and building pace and already encompasses a blockchain prototype for all project and operational problem optimisation. Avalone are pioneers phases from the early design of digital technology for processes, through operating Avalone has extensive the energy industry, across and decommissioning. knowledge of software a wide spectrum of expertise. This has opened new development for both web We are specialists in opportunities for advanced and desktop. We are agile in digitisation, digital twins, collaboration between our practices and draw on blockchain/DLT technology, multiple disciplines across a network of professionals and AI/machine learning. organisations. in other SMEs - ensuring a network of software and Avalone Consultants have process engineers on hand to recognised the potential offered by assist with larger projects. blockchain technologies. Blockchain technology offers new ways for multiple parties to work collaboratively towards a defined goal in a trusted environment where all Company Details parties are in consensus. Avalone are uniquely placed to deliver a solution in this arena, having previous experience building and optimising Website: www.avalone.io process models, software development, and Email: colin.mccrae@avalone.io project / change management.
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Tel: +44 (0) 7734 857 671 Address: 3 West Craibstone Street, Aberdeen, AB11 6YW, Scotland, UK
Technology Development stage: Ongoing Launch date: Q3 2021
Avalone’s blockchain product enables a trusted approvals process for multiple parties across multiple organisations to work together on a shared ledger. This ledger, powered by blockchain technology, forms an auditable record of checks and approvals, including links to attached data. Avalone’s extensive technical experience covers a wide range of technologies which are used for the building blocks of this system. These include dynamic simulation software, various traditional and blockchain programming languages, development environments, content addressed file systems, and web front-end technologies. Avalone deeply understands the types of problems where blockchain is applicable, and where it can be used to add value to a project.
Avalone AI - Read between the lines to make smart decisions. Over many years of analysing both simulated and real plant data, Avalone have a unique understanding of the various data associated with process plants. Avalone are experts in taking both structured and unstructured data from source all the way through to making smart decisions based on machine learning algorithms. Making use of Microsoft Azure Cognitive Services, Avalone are able to harness the full power of neural networks to offer true insights from existing datasets. Avalone have experience in the full process: from data cleaning to using the predictions to make smart decisions. The process starts with clear goals identified from by the client, and an assessment of the available datasets. The dataset containing a number of inputs and known outputs is cleaned, before a custom neural network architecture is trained on the dataset. The performance of the network can be independently assessed using data held back for this scoring process. Finally, the trained model can be used to make real world predictions of unknown outputs. Clients use these predictions to make smart decisions.
Avalone’s experience as process engineers places us very well to quickly identify areas where AI and machine learning can add real value, drive efficiencies, and ultimately increase the profitability of process installations.
