Arundo – Delivering tailored, scalable, advanced analytics solutions to meet customers’ business needs

Businesses of all sizes want to optimize their business processes and take the strategic decisions to new levels of value. Business intelligence helps them achieve just that. BI helps the right people get the right information, in the right format and at the right time. On the other hand, with improvements in technology, cloud computing is gaining tremendous traction and has moved from being a technological innovation to a business requirement. When it comes to cloud-based business intelligence, until a few years ago, it was mostly which was mostly used by startups or small companies which could not afford the costly BI tools deployments. However, today, cloud BI has become mainstream as organizations of all sizes have started embracing cloud computing for their business intelligence strategies.

Cloud-based business intelligence merges two of the most effective business technologies. Cloud computing serves as a repository for large volumes of data and creates an ideal platform to provide business intelligence applications when businesses need to gather data from a wide range of devices and sources - anytime and anywhere. With tremendous scalability and flexibility offered by cloud, it becomes an ideal match to business intelligence systems.

Arundo provides cloud-based and edge-enabled software for the deployment and management of enterprise-scale industrial data science solutions. Arundo's software allows industrial companies and other organizations to increase revenue, reduce costs and mitigate risks through machine learning and other analytical solutions that connect industrial data to advanced models and connect model insights to business decisions. Arundo delivers tailored, scalable, advanced analytics solutions to meet the customers’ business needs for increased market differentiation, sustainability and greater efficiency.

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 is 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.

"We provide practical software products and services that improve the operation of industrial equipment, systems, and processes through enterprise-scale machine learning and analytics."