It’s official! APERIO is a proud Silver Sponsor of AVEVA World 2023. Visit our booth for a live demonstration of our pioneering industrial data quality platform or for a one-on-one session with one of our…
APERIO recently shared that they secured $9M in new funding to fuel growth and cement themselves as the world’s leading industrial data quality company. Several industry leaders—Momenta, Chevron Technology Ventures, National Grid Partners, Delek US,…
Boston, MA, Release: August 24, 2023. For Immediate Release. APERIO, a category leader in operational data quality, today announced it has closed $9M in Series A1 funding. The round was led by Momenta, the Industrial…
In a large-scale industrial setting, the implications of poor-quality data can be unforgiving: Increasingly industrial leaders rely on data to drive operational decisions and if these decisions are based on poor data, it can result…
The exponential growth in the volume of industrial data and an increased reliance on data to make operational decisions is amplifying the need for accurate, consistent, and validated data. But are decision makers recognising this…
The APERIO platform routinely processes industrial data from some of the world’s leading industrial companies, so securing our customer’s data has always been a primary ingredient of our architecture. As part of our ongoing efforts…
Predictive maintenance (PdM) has been hailed as a game-changer for maintenance operations in industrial companies, promising to reduce unscheduled downtime, optimize the costs of maintenance schedules, and prevent costly breakdowns. While PdM technology has seen…
Sensor drift is a common issue in the industrial world that can have significant impacts on the accuracy and reliability of sensor data. It refers to the gradual, subtle changes in the sensor that happen…
In recent years, there has been a massive increase in the amount of industrial data generated globally. According to a report by IDC, the global volume of global data is expected to reach 175 zettabytes…
APERIO grew revenue 5x in 2022, allowing the company to expand its team and accelerate product innovation. APERIO also added Jane Arnold, an Industry 4.0 expert, to its Board of Directors.
What happens when a data scientist finds an error in the data? For example, what happens if you import a data set and one of the Excel tabs is missing? Or the units of measurement…
We’re glad to invite you to AVEVA World 2022, taking place on Nov 14-17 in the Moscone West Convention Center, San Francisco. APERIO’s CEO Jonas Hellgren will be presenting on how industrial companies can use…
Identify when sensors begin to drift so that you can act before the equipment fails. At the first sign of any deviation, APERIO DataWise can alert the operator to make improvements before it’s too late.
APERIO was the featured solution in this IntegrateLive! virtual workshop where we presented alongside other leading vendors and demonstrated in real time how AI can provide greater, real-time visibility into your critical processes without requiring…
Converging the IT and OT worlds has definite benefits as well as, many challenges. As digital transformation drives these worlds together, APERIO DataWise is the only solution that can find anomalies in both worlds.
Whether you are the PI system administrator, the PI end user, the IT leader, or a data scientist, you need good data to deliver optimum business value to your organization. Learn how to systemically improve the data quality of your PI data.
This eBook shows how to monitor, track, and improve data quality of PI data using APERIO DataWise for PI. International Paper’s success story is showcased.
A U.S. pharmaceuticals company uses APERIO DataWise to monitor and reduce water usage and losses, natural gas usage, CO2 emissions, and electrical power usage.
A medical devices company uses APERIO DataWise to validate collected real-time data from production equipment and improve overall OEE by 10%.
A European healthcare company uses APERIO DataWise to help employees improve operational and batch efficiencies, with accurate reporting and collaboration across the enterprise.
A multinational pharmaceuticals company uses APERIO DataWise to help the operator monitor all manufacturing activities and perform batch reporting.
A U.S. research biotechnology company uses APERIO DataWise to determine root causes of abnormal process behavior and increased operators’ expertise.
A U.S. pharmaceuticals company uses APERIO DataWise to improve production efficiency, operational efficiency and yield and reduce TCO of legacy systems.
A European pharmaceuticals company uses APERIO DataWise to digitize and automate the manufacturing workflow with a single, standardized manufacturing system.
A U.S. pharmaceuticals company uses APERIO DataWise to enable data-driven decisions and advanced modeling techniques based on validated data.
A U.S. biotechnology company uses APERIO DataWise to upgrade from paper-based data acquisition and identify missing, bad, or stale data.
A global healthcare company uses APERIO DataWise to build quality into the process system from its initiation while minimizing cost by standardizing documentation and technology.
A renewable resource company uses APERIO DataWise to help optimize power buys from the grid and enables decision-making that reduces costs and emissions.
A U.S. paper & packaging company uses APERIO DataWise make a more consistent product by reducing stock consistency variation and increasing production efficiency.
A large global forest company uses APERIO DataWise to reduce waste through energy management, machine startup time, HS&E improvements with automated alerts to operators when issues arise.
An engineered materials company uses APERIO DataWise to drive down the cost of chemicals used for bleaching pulp, in part, by digitizing data currently store in Microsoft Excel spreadsheets.
A Japanese paper company uses APERIO DataWise to reduce energy and water usage with validated, real-time visualization of mill-wide data.
A packaging and hygiene company uses APERIO DataWise to view and reduce energy consumption and greenhouse gas emissions through better decision-making.
An Australian zinc mining company uses APERIO DataWise to improve the Return on Invested Capital (ROIC) through better asset utilization with a simple and easy to use solution.
A Canadian iron ore company uses APERIO DataWise to increase operational availability and improve maintenance planning with less downtime.
A South American copper company uses APERIO DataWise to increase productivity and production without increasing work level through guaranteed data accuracy and reliability.
A gold mining company uses APERIO Data to efficiently collect instrument data from DCS, including alarm and event data with automated alerts and remote access.
An Australian mining company uses APERIO DataWise to improve the reliability, availability, and access to mining and metallurgical data.
A U.S. titanium company uses APERIO DataWise to validate the data it uses in an online reporting tool that provides better production visibility and Overall Equipment Effectiveness for critical assets.
An Australian nickel producer uses APERIO DataWise to trace product quality and reduce downtime and total steam consumption. Users can compare profitability and growth to historical data in real time.
The world’s largest steel producer uses APERIO DataWise to monitor, validate, and visualize data, allowing it to move from time-based maintenance to condition-based maintenance.
A Mexican cement company uses APERIO DataWise to implement an online operational tool for energy monitoring based on validated data in real-time. It reduces cost and emissions.
A top 10 aluminum producer uses APERIO to reduce energy costs, maintenance, and environmental impact to drive performance and resources and increase production, operations process stability, and asset life.
A top aluminum producer uses APERIO DataWise to build a response workflow to optimize the power they generate in the grid.
A U.S. chemicals company uses APERIO to view and manage energy demand and increased ROI on improved demand side optimization of power generation assets.
A European plastics producer uses APERIO DataWise improve rotating equipment availability and predict equipment life based on operating time and experience.
An European specialty chemicals company uses APERIO DataWise to improve asset utilization and reduce batch cycle time.
An industrial lubricants & additives company uses APERIO to standardize the reporting of production, quality, usage, and effectiveness of installed system.
A top inks & pigments producer uses APERIO DataWise to improve performance, reliability, quality of product while making better use of energy sources.
A large VAM producer uses APERIO to enable PI dashboards with validated operational data to drive decision making at the plant level through actionable Intelligence.
A multinational chemicals company uses APERIO DataWise to improve productivity to maintain margins by correlating real-time operational data to business outcomes.
A U.S. specialty additives company uses APERIO DataWise to empower employees to make decisions based on actionable intelligence and the confidence of accurate, reliable data.
Provincial water authority created a real-time Water Loss Calculator with dashboards to save 38M liters of water per day; plus energy saved from reducing water loss.
A Canadian city water utility uses APERIO DataWise to optimize energy and maintenance, be more efficient, lessen its environmental impact, and empower users.
A global food and agricultural company uses APERIO DataWise to digitize manufacturing and improve site OEE from below average to best in class.
A global food company uses APERIO DataWise to achieve energy, emissions, and water targets based on reliable operational data.
A U.S. pharmaceutical company uses APERIO DataWise to easily identify when freezers that store the API go offline; currently this is done manually by an administrator.
A U.S. pharmaceutical company uses APERIO DataWise for more centralized data visibility through continuous data validation.
A Canadian pulp & paper company uses APERIO DataWise to monitor power consumption based upon fluctuating market prices and availability.
This eBook shows how to implement fleetwide reliability with continuous monitoring of assets using APERIO DataWise. 14 customer examples in Power & Utilities are previewed.
This eBook shows how to implement fleetwide data quality and see its immediate impact on revenue using APERIO DataWise. 14 customer examples in Pulp & Paper are previewed.
This eBook shares how to implement data quality to improve throughput, yield, and ESG goals. 14 customer examples in Mining, metals, and minerals are examined.
This eBook shares how to efficiently implement and automate IQ, OQ, and PQ. 14 customer examples in Pharmaceuticals and Life Sciences are examined.
This eBook shows to implement fleetwide data validation and see its immediate impact on revenue. 16 customer examples in upstream, midstream, and downstream oil and gas are shared.
One of the world’s largest industrial gas producers uses APERIO DataWise to monitor and improve the health of its fleet of sensors.
This eBook shows how to implement fleetwide data quality and see its immediate impact on revenue. 14 examples in Chemicals, specialty chemicals and materials are shared.
A top 10 global mining company uses APERIO DataWise to automatically detect issues on pH sensors and take action before product quality is affected.
Having connected with us at AVEVA World Conference 2022 where APERIO co-presented with Covestro on their efforts to solve data quality issues across their enterprise.
APERIO will present at the Connected Plant Conference 2022, taking place in Atlanta, GA on May 23-26. We will use this moment to further our leadership in the Data Integrity space, along with our customer, International Paper.
Large petrochemicals company seeks to monitor and improve performance but the process is not fully monitored presently.
The world’s #1 gas turbine power generation company uses APERIO DataWise to proactively detect data issues across more than 40 sites for early, immediate resolution.
The world’s largest platinum producer uses APERIO to ensure the data integrity of sensors/tags across their platinum smelter operations.
A top tools manufacturer uses APERIO to alert operators before product quality decreases and/or equipment fails.
Monitor and validate data to improve performance across more than 100 plants and sites.
Big Oil company uses APERIO DataWise to ensure the accuracy of their newly consolidated view of real time production and maintenance data.
A North American pipeline company uses APERIO DataWise to validate PI data during migration from spreadsheets to OSIsoft PI and make it accessible to the right people at the right time.
Midsize refiner requires efficient and accurate emissions data reporting and automated workflows to continuously improve emissions profile.
Midstream gas company used APERIO DataWise to digitize operations to collect, centralize, and validate the data in simple and complex digital twins.
Asian oil & gas company uses APERIO DataWise to improve hydrocarbon loss monitoring and control through automated anomaly detection.
Implemented APERIO software to analyze information and make decisions based on real-time data, not historical data. Help coordinate responses to events without false positives.
California’s largest fracking company uses APERIO DataWise to avoid environmental hazards and issues by continuously monitoring injector wells to prevent over-fracking.
A midsize oil & gas company uses APERIO DataWise to eliminate bad data from remote well sites that is creating unnecessary downtime and production losses.
A Big Oil company uses APERIO DataWise to validate PI data and reduce project turnaround time from months to weeks.
A large EPC uses APERIO DataWise to validate the digital twin data during front-end engineering and design (FEED) and readies it for operational use.
A global minerals & specialty chemicals company uses APERIO DataWise to consistently avoid equipment failure and unscheduled downtime.
Pulse by Gartner and APERIO surveyed 160 decision-makers regarding the impact poor data has on their business, how they prioritize their challenges, and where they are looking for a solution.
At the Olympics, every element of an athlete is analyzed and optimized, so much so, that small micro insights are invaluable. Learn why it’s time for you to look at your data with the same scrutiny!
Former OSIsoft executive and SEEQ co-founder will lead the company’s efforts to bring AI innovations to industrial data integrity.
This New Year brings data integrity improvements to APERIO DataWise and pilot options that optimize the customer experience.
Preview the features and functionality of APERIO DataWise. Learn about the simplicity to deploy and use the product while employing advanced AI engines to auto-detect anomalies in your operational data.
Jane Arnold, an industry expert in Digital Transformation/IIoT, shares her perspective on data and data integrity, and its impact on unplanned downtime and operator decision making.
As we put 2021 in the rear-view mirror, we reflect on what an exciting journey it has been from co-founding APERIO to seeing how far it has come in such a short time. This blog shares our ‘origin story’, how we developed our category leading product, and our plans for 2022 and beyond.
Customers exemplify a strange cognitive dissonance with data, where they say ‘yes, we need to aggregate and store data, but we’re not concerned with its quality’. What??? Isn’t the crucial detail to using data, its accuracy and reliability?
Widespread adoption of IIoT continues to growing rapidly. A 2020 study by Jupiter Research predicts that the number of IIoT connections will more than double from 17.7 billion in 2020 to 36.8 billion in 2025.
My name is Livia Wiley and I’m the Vice President of Marketing at APERIO. As a marketer, I am challenged with taking technically challenging details and crafting a story that appeals to the buyer persona we seek. Sometimes this can be difficult; while other times, it’s quite obvious. This blog is about the latter.
The future of your industrial data value chain is at your fingertips.
Superior data integrity at scale.
How rigorous data integrity software can improve uptime, performance, and operator confidence.
A European utilities company uses APERIO DataWise to successfully identify data threats on critical infrastructure.
Global TSO company uses APERIO DataWise to eliminate 90% of unnecessary, intrusive maintenance inspections.
A European TSO company uses APERIO DataWise to minimize time spend and uncertainty in operational network control room decisions.
A global power generation company uses APERIO DataWise to estimate savings of more than €0.5M in related sustainability issues costs within the first 12 months of deployment.
A APAC power generation company uses APERIO DataWise to eliminate 50% of asset modeling data runs that were bad; and the need for time-consuming data troubleshooting.
A top 20 chemicals company uses APERIO DataWise to leverage validated data in its predictive maintenance and advanced analytics tools.
A global oil & gas company uses APERIO DataWise to eliminate questionable asset models and calculations.
Jane Arnold, VP of Global SPS Strategy and Industry 4.0 Execution at Stanley Black & Decker, Inc. describes her experiences with poor data quality and its impact on digital initiatives.
A European refining company uses APERIO DataWise to amplify the integrity of an in-house tool used to track energy efficiency.
AVEVA, a global leader in industrial software, and OSIsoft, a global leader in real-time industrial data software and services, have announced an agreement for AVEVA to acquire OSIsoft for $5.0 billion.
APERIO Systems today announced the close of an $8.5 million Series A funding round led by National Grid Partners, the venture investment and innovation arm of National Grid plc., one of the largest investor-owned energy companies in the world.
APERIO today announced the close of an $8.5 million Series A funding round led by National Grid Partners, the venture investment and innovation arm of National Grid plc., one of the largest investor-owned energy companies in the world.
The future of your industrial data value chain is at your fingertips. Improve data accuracy, security, and value, for smarter business decisions based on real-time, trusted, superior data.
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