Arundo – Revolutionizing Industrial Operations with Advanced Cloud-Based Data Science Solutions

Businesses, regardless of their size, are increasingly striving to optimize their processes and elevate strategic decision-making to new heights of value. Business intelligence (BI) plays a pivotal role in achieving these objectives. BI ensures that the right individuals receive pertinent information in the appropriate format and precisely when they need it. Simultaneously, cloud computing has evolved from a technological innovation to an essential business requirement, gaining significant momentum. In the realm of cloud-based business intelligence, what was once predominantly embraced by startups or small enterprises due to the cost-effectiveness, has now become mainstream across organizations of all sizes.

Cloud-based business intelligence seamlessly combines two highly effective business technologies. Cloud computing acts as a vast repository for substantial volumes of data, creating an optimal platform to deliver business intelligence applications. This synergy becomes especially valuable when businesses need to collect data from diverse devices and sources, regardless of the time or location. The cloud's exceptional scalability and flexibility make it an ideal companion for business intelligence systems.

Arundo is at the forefront of innovation, offering specialized cloud-based and edge-enabled software meticulously designed for the deployment and efficient management of large-scale industrial data science solutions. Their cutting-edge software solutions have revolutionized the way industrial companies and diverse organizations operate. By leveraging the power of advanced technologies such as machine learning and sophisticated analytics, Arundo's software enables businesses to achieve significant improvements in various critical areas.

Through the application of machine learning algorithms and analytical tools, Arundo's software empowers businesses to boost their revenue streams. By identifying market trends, consumer preferences, and production efficiencies, companies can optimize their strategies, leading to increased sales and profitability. Moreover, Arundo’s solutions are engineered to identify cost-saving opportunities within operations. By analyzing data, detecting inefficiencies, and suggesting process optimizations, businesses can significantly reduce operational costs, contributing to higher overall profitability.

Enterprise-Scale Machine Learning and Analytics Services Offered

Marathon: Marathon suite enables you to solve problems as you go by continuously monitoring your critical equipment, suggesting prescriptive actions to prevent downtime, reduce equipment lifecycle cost and lower energy consumption. Improve sustainability performance through improved energy efficiency, reduced CO₂ footprint, and emission reduction. Reduce maintenance cost through improved planning and execution of maintenance activities. Your equipment is shown in a user-centric layout, enabling rapid adoption of analytics insights with their configurable event workflows and equipment health dashboards.

Arundo Edge: It enables fast, secure and efficient streaming of IoT sensor data from control systems to the cloud. Clients' can use Arundo Edge Manager for one-click deployment of machine learning models and monitoring of system health, system performance, model precision and execution. Connect to your control system using e.g. OPC or Modbus and stream high velocity sensor data securely to your IoT platform of choice including Microsoft Azure, Amazon Web Service, Google Cloud Platform or Arundo Marathon. Deploying, running and monitoring machine learning models on Arundo Edge is simple and enables you to solve your problems as close to your equipment as possible. Predictive Maintenance, Anomaly Detection. Complete overview across all connected assets. Monitor system health, system performance, model precision and execution. Get early warnings of connection issues or missing sensor data. Manage, deploy and monitor machine learning models across your Edge fleet.

DataSeer: DataSeer uses AI to automatically detect, label and extract information from engineering diagrams, lists & reports. DataSeer dramatically decreases time spent staring at industrial diagrams and manually extracting information and is designed to make your job faster and easier. You can get more accurate and consistent results faster using the latest advances in AI. It is built in close collaboration with users at some of the largest engineering firms in the world, who they are proud to call Arundo's customers. Users reporting over 90% time savings in their project work compared to previous processes.

SPYRO^® for Asset Management (SAM): The global ethylene-petrochemical market is expected to grow from $125 billion in 2022 to $162 billion by 2026 at a CAGR of 6.6%. Since its introduction in 1979, Technip Energies proprietary SPYRO^® software has been adopted by approximately 80% of ethylene producers worldwide. Together with Arundo`s Digital Technology Partnership, SPYRO^® is now merging into the next version of the world´s leading software suite for plant operators. SPYRO^® is the world-leading enterprise software for managing and optimizing ethylene and propylene plant infrastructure in Europe, Middle-East, Asia and Americas. More than 80% of today's plant operators use SPYRO^® for managing petrochemicals production. The new SAM version of SPYRO^® uses real time data coupled with predictive analytics in order to reach daily, weekly and monthly production targets. The new version of SPYRO^® for Asset Management (SAM) offers plant operators a range of different features by utilizing predictive analytics to optimze OPEX, production yield, cracking temperature and feed rate as well as storage and supply chain. Reaching Net Zero 2050 is an absolute focus, and SAM gives plant operators new incentives to reduce total C02 emissions by monitoring energy usage, combustion fuel, emission factors and feedstock type across the entire plant.

About the Leader

Martin Lundqvist serves as the Chief Executive Officer of Arundo. Martin holds a M.Sc. in Industrial Management and Engineering from Linköping (Sweden) and Swiss Federal Institute of Technology with a major in Computer Science.