ProcessMiner is Revolutionizing the Manufacturing Industry with a turn-key AI-driven analytic platform.

ATLANTA, GA, April 13, 2023 — ProcessMiner, an AI-driven autonomous process optimization solutions company, is bringing revolutionary changes in the manufacturing field, supporting their client’s Industry 4.0 initiatives.

In addition, their adaptive and self-learning autonomous optimization AI platform demonstrates the impact that the practical application of advanced data science can have on reducing raw material consumption and waste while improving quality and productivity.

The manufacturing industry is amid an unprecedented transformation, thanks to the relentless progress of smarter and more efficient technologies. The shift, aptly dubbed Industry 4.0, is revolutionizing how products are made. At its core, Industry 4.0 is about integrating cutting-edge technologies into the manufacturing process to create smarter, more efficient, and self-sufficient factories.

By doing so, it promises to unleash a new era of productivity and efficiency that will power the economy for years to come. So buckle up and get ready for the ride because Industry 4.0 is set to take us on a thrilling journey toward a brighter and more prosperous future.

The Industry 4.0 potential benefits, including increased efficiency, productivity, and profitability, make it a worthwhile endeavor. However, while the promise of benefits is significant, several challenges remain associated with its implementation—integration with legacy systems, workforce training, hiring specialized skill sets, and capital costs.

Given the benefits and challenges, many manufacturers have concluded they must embrace Industry 4.0 and transition to newer technologies to support existing processes.

So the big question is, are there solutions available today that mitigate the aforementioned challenges while, at the same time, helping manufacturers to pragmatically progress along the Industry 4.0 maturity curve and implement new technologies to optimize their production process?

One such solution is the ProcessMiner AI platform. By integrating the power of domain expertise with advanced IT, OT technologies, AI and Data Science, ProcessMiner can unlock the value of hidden insights in client historical and in-line process data. With its self-learning AI prediction models and proprietary algorithms, the platform runs 7 X 24 X 365, constantly monitoring production line settings and deviations to detect issues and conditions that can impact quality, increase waste, inefficiently use raw materials and negatively impact overall operating efficiency. In addition to predicting end-of-production inefficient outcomes, the platform recommends and can autonomously execute corrective action to prevent these outcomes.

Karim Pourak, the CEO and co-founder of ProcessMiner, stated that many of their clients have voiced frustration over previous unsuccessful attempts by other tech vendors to execute intricate data analytic projects that generate measurable value, delivered on time and within budget.

“We’ve discovered the primary obstacles are usually prolonged consulting engagements, significant upfront expenses, difficulty recruiting top talent, and challenges in achieving sustainable and measurable value,” said Pourak. “Currently, the industry has numerous analytics and optimization tools that support tactical systems monitoring, reporting, and alerting, but they are predominantly reactive in nature. These projects succeed in monitoring and reporting what happened and why, but they provide limited insight into what will happen. Regrettably, most of these projects fall short in the most challenging aspect of closing the production process loop, which is preventing bad things from occurring.”

In contrast, The ProcessMiner cloud-based platform can be put into production with little to no capital expense and is interoperable with existing technology and infrastructure already deployed at Mills and Plants.

Since ProcessMiner is a turn-key solution, clients do not need to hire architectural consultants, data scientists, modelers, or analytics experts. Systems can be implemented and in production in a few weeks, optimizing the production process. In most use cases, documented results demonstrate the ability of manufacturers to generate hundreds of thousands of dollars in savings annually per production line.

ProcessMiner has proven to consistently help its clients improve their products’ quality with their unique predictive and prescriptive platform. Through this process, manufacturers can detect problems before they occur and take corrective actions before products are produced.

By reducing the number of defective products and making more efficient use of raw materials, manufacturers can reduce the cost of production, improve customer satisfaction and support meeting corporate sustainability goals.

Specifically, in the Pulp and Paper industry, working with leading manufacturers, ProcessMiner has delivered the benefits of autonomous control resulting in up to a 25% reduction in chemistry consumption, increased adherence to quality targets by as much as 98%, reduced wood fiber consumption 2% and contributed to additional sustainability goals reducing carbon emissions by 50 tons per year.

In the plastic injection molding industry, they have been effective in helping clients reduce defects and scrap rates by double-digit percentages in the first year of implementation.

Overall, leveraging detailed data is crucial for manufacturers to remain competitive in an increasingly complex and dynamic market. The effective and timely use of historical and in-line process data is one of the keys to unlocking the door to sustainable competitive advantage. It can provide valuable insight into every aspect of the production process.

By analyzing and understanding the implications of this data and acting immediately, manufacturers can quickly identify inefficiencies, reduce waste, increase productivity, improve quality control and directly impact the ongoing cost of goods.

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries. Pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit ProcessMiner.com.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com

ProcessMiner to Sponsor 2023 QCRE Data Challenge Competition

IISE QCRE Competition Call for Papers Open

ATLANTA, GA, March 16, 2023 — ProcessMiner Inc., an artificial intelligence platform that delivers predictive analytics and optimization for continuous manufacturing processes, has announced it is sponsoring the IISE QCRE Data Challenge Competition at the 2023 Institute of Industrial and Systems Engineers (IISE) Annual Conference, taking place May 19-22, 2023.

“Data science is not just about analyzing data, it’s about unlocking its hidden potential to create real-world impact,” said Praneeth Reddy, Data Scientist, ProcessMiner. “At ProcessMiner, we strive to constantly push the boundaries of what’s possible, fuelled by a passion for innovation and a commitment to driving progress. Our data challenges are just one way we’re fostering this spirit of exploration, and we can’t wait to see where it takes us next.”

In this data challenge, a research problem of Fungal Spores Concentration Prediction is posed to participants. More details regarding the competition tasks can be found on the next page.

The deadline to enter is April 16, 2023. Inquiries and submissions are addressed to Praneeth Reddy (ProcessMiner Inc.), Xiaolei Fang (North Carolina State University) and Shancong Mou (Georgia Institute of Technology).

  • The first prize comprises a plaque and a cash award of $1,000.

The competition organizing committee will select a maximum of four finalist teams. Those finalist teams will be required to present their work at the 2023 IISE Annual Conference and winners will be determined by invited judges.

Eligibility

  • Individuals or teams of a maximum of four members.
  • At least one of the participants from each team should be a QCRE member.
  • Each team can only participate once.

Important Dates

  • Results submission deadline: Sunday, April 16th.
  • Notification of finalists: Sunday, April 23rd.
  • Presentation: IISE Annual Conference & Expo, May 19 – 22, 2023

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries and pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit ProcessMiner.com.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com

ProcessMiner’s CSO, Dr. Kamran Paynabar, Receives the Outstanding Achievement in Commercialization and Entrepreneurship Award from the Georgia Institute of Technology

ProcessMiner’s CSO, Dr. Kamran Paynabar, Receives the Outstanding Achievement in Commercialization and Entrepreneurship Award from the Georgia Institute of Technology

ATLANTA, GA, May 24, 2022 — ProcessMiner Inc., an artificial intelligence platform for the manufacturing industry, announced today that its Chief Science Officer, Dr. Kamran Paynabar, is the recipient of the Outstanding Achievement in Commercialization and Entrepreneurship award from Georgia Tech.

The awards were established this spring by Raheem Beyah, Dean of the College and Southern Company Chair. “This year’s honorees are entrepreneurs, researchers studying health and human infrastructure, and faculty who are building a better culture and curriculum for our students, staff, and one another,” said Beyah. “I’m incredibly proud of this year’s winners. Our faculty are among the best in the world.”

ProcessMiner Inc., an artificial intelligence platform for the manufacturing industry, announced today that its Chief Science Officer, Dr. Kamran Paynabar, is the recipient of the Outstanding Achievement in Commercialization and Entrepreneurship award from Georgia Tech.

The awards were established this spring by Raheem Beyah, Dean of the College and Southern Company Chair. “This year’s honorees are entrepreneurs, researchers studying health and human infrastructure, and faculty who are building a better culture and curriculum for our students, staff, and one another,” said Beyah. “I’m incredibly proud of this year’s winners. Our faculty are among the best in the world.”

This prestigious award is given to individuals who have successfully translated their research into marketable products or services. Dr. Paynabar is a recognized scholar in applied statistics and machine learning, and his work with ProcessMiner has helped make it the leading platform for manufacturing process analytics and improvement. 

Commenting on the award, Dr. Paynabar said, “I am honored to receive this award and be recognized for my research and work. In addition, I would like to thank Georgia Tech and all my mentors, colleagues, and collaborators who supported me throughout my career and helped me achieve this recognition.”

Dr. Paynabar is a co-founder of ProcessMiner and has been a driving force behind the company’s success. He has developed ground-breaking AI/ML algorithms used to detect patterns and insights in data for improving continuous manufacturing systems. 

ProcessMiner CEO and co-founder Karim Pourak said, “We are thrilled that Kamran has been recognized with this prestigious award. It is a testament to his groundbreaking work in AI and data mining and his dedication to helping our customers optimize their manufacturing processes.”

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real-time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries. Pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit ProcessMiner.com.

ABOUT College of Engineering at Georgia Institute of Technology: The College of Engineering at the Georgia Institute of Technology provides formal education and research in more than 10 fields of engineering, including aerospace, chemical, civil engineering, electrical engineering, industrial, mechanical, materials engineering, biomedical, and biomolecular engineering, plus polymer, textile, and fiber engineering. The College of Engineering is the oldest and largest college in the institution. Visit coe.gatech.edu.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com

ProcessMiner to Sponsor 2022 IISE Quality Control and Reliability Engineering (QCRE) Data Challenge Competition

IISE QCRE Competition Call for Papers Now Open

ATLANTA, GA, September 8, 2021 — ProcessMiner Inc., an artificial intelligence platform that delivers predictive analytics and optimization for continuous manufacturing processes, announced today, it is sponsoring the 2022 QCRE Data Challenge Competition at the 2022 Institute of Industrial and Systems Engineers (IISE) Annual Conference, taking place May 21-24, 2022.

“We, at ProcessMiner, are at the frontier of data science innovation. Our goal is to encourage advanced research in this field to push its boundaries further. For this, we are extremely happy to release our third data challenge,” said Dr. Chitta Ranjan, Director of Science at ProcessMiner.

In this data challenge, a research problem to advance the field of deep learning is posed to participants. There is a $3,000 cash award to solve emergent data challenges. A submission should be a manuscript submitted or ready to submit to IISE proceedings, or a relevant conference/journal. It is also recommended to post the manuscript on Arxiv.

The deadline to enter is April 29, 2022. Inquiries and submissions are addressed to Dr. Chitta Ranjan (ProcessMiner Inc.) and Dr. Yisha Xiang (Texas Tech University).

  • First Prize: Plaque + $2,000
  • Second Prize: Plaque + $1,000

Participants are encouraged to work in teams. The finalist teams will be required to present their work at the 2022 IISE annual conference. For more details about the challenge description and requirements, please refer to the call for papers. Please note, there is no limit on the number of participants allowed in one team. 

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real-time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries and pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit ProcessMiner.com.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com

ProcessMiner™ Announces Acceptance into Georgia Tech Advanced Technology Development Center (ATDC) Accelerator Program

Partnership Will Work to Accelerate Innovation in Manufacturing

ATLANTA, GA, August 3, 2021 — ProcessMiner Inc., an artificial intelligence platform for the manufacturing industry, announced today it has been accepted into Georgia Tech’s Advanced Technology Development Center (ATDC) accelerator program. 

“We are happy to share the news of our acceptance into the Georgia Tech ATDC accelerator program,” said Karim Pourak, ProcessMiner Co-founder and CEO. “We believe this partnership with Georgia Tech will build momentum throughout the southeastern United States around the importance of AI, which is critical to the future of manufacturing.” 

The ATDC Advanced Manufacturing Program at Georgia Tech is focused on helping local entrepreneurs in Georgia, which, in recent years, has become a national leader in advanced and SMART manufacturing, outpacing overall U.S. manufacturing in 10-year gross domestic product growth.

ATDC helps launch and scale technology companies that make physical products. By bringing together specialized programming, prototyping equipment, industry experts, corporations, investors, and the vast resources of Georgia Tech, ATDC has created an environment for manufacturing startups to thrive.

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real-time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries and pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit ProcessMiner.com.

ABOUT ATDC: The Advanced Technology Development Center (ATDC) at Georgia Tech is Georgia’s technology incubator. Founded in 1980, ATDC has developed a global reputation for fostering technological entrepreneurship. Forbes named ATDC to its list of “Incubators Changing the World” in 2010 and 2013, alongside Y Combinator and the Palo Alto Research Center. Visit ATDC.org.

View the full press release here.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com

ProcessMiner™ Announces Appointment of Dr. Stephen Vasconcellos to Scientific Advisory Board

With 34 US patents and three decades working for Betz, BetzDearborn, GE Water and Process Technologies, and Suez Water and Technology Solutions, Dr. Vasconcellos has earned a reputation as an industry expert.

ATLANTA – May 3, 2021 – ProcessMiner Inc., an artificial intelligence platform for the manufacturing industry, announced today that Dr. Stephen Vasconcellos, Ph.D., has been appointed to the company’s Scientific Advisory Board.

“I am delighted to welcome Steve to our scientific board of advisors,” said Karim Pourak, Co-founder and CEO of ProcessMiner. “He offers an extensive wealth of knowledge and an advantageous background in liquid and solid separations, wastewater treatment design and optimization, colloid science, polymer characterization and electrokinetics. We look forward to leveraging Steve’s expertise and experience as we continue to build out our digital water treatment solutions for ProcessMiner customers.”

Dr. Vasconcellos earned a B.S. in chemistry from Rensselaer Polytechnic Institute, and M.S. and Ph.D. degrees in physical chemistry from the University of Massachusetts, Amherst. He was a member of the American Chemical Society, and a division member of Colloid and Surface Science and Environmental Chemistry. He completed the IRI Technology Manager Course at Harvard University and GE’s TLDC (technical leader development course) in 2016.

Jacques Cousteau said, “We forget that the water cycle and the life cycle are one.” Wastewater is part of that water cycle and is long overdue for a re-imagining. Smart system control using AI can be an integral part of that re-imagining platform for operating WW facilities more efficiently, more effectively, and more environmentally responsible. —Stephen Vasconcellos, Ph.D.

In 2007, Dr. Vasconcellos was co-chair of the Coagulants and Flocculants Symposium in Louisville, Ky., and in 2008 was co-chair of the Water Reuse Symposium in Orlando, Fla. In 1994, he earned the Pennsylvania DER Green Award. GE awarded him in 2005 with the “Best of the GE Betz” award and in 2006 with the Edison Award. In 2006, he also earned the Spirit of Innovation Award. In 2015, he was acknowledged by Water Quality Professional magazine as a 20 for 20 icon.

With this appointment, ProcessMiner’s Advisory Board now comprises five directors, most of whom are external and independent. Woodall joins ProcessMiner Advisory Board members Jeff Fulgham, Consulting Executive, Corporate Visions, and President, StrategyH2O; Kamran Paynabar, Co-founder and Chief Science Advisor, ProcessMiner; Dr. Bill Woodall, Professor Emeritus of Statistics at Virginia Tech; and Chris Luettgen, Professor of the Practice and Associate Director, Georgia Institute of Technology.

ProcessMiner remains committed to being the industry-leading autonomous control solution delivering process improvement recommendations and parameter control changes in real-time to the production line. The ProcessMiner AutoPilot platform delivers material reductions in scrap, defects, and errors commonly encountered in complex manufacturing processes.

ABOUT PROCESSMINER: Founded in 2014, the ProcessMiner™ platform predicts problems in real-time using AI within the manufacturing process. The platform is being rapidly adopted by the Tissue and Packaging industries, inclusive of manufacturers in the Pulp, Paper and Plastics industries and pilot projects are underway with water treatment and energy sectors of manufacturing. For more information, visit www.processminer.com.

ProcessMiner Media Contact:
Kate Hammond, PR & Marketing
khammond@processminer.com