Predictronics

SOLUTIONS

Our solutions combine expertise in predictive technologies, industrial systems and business impacts to remove the guesswork from production and maintenance planning, replacing it with accurate predictions that allow you to have a worry-free process. We know what happens next, and so can you.

PDX LOGO

The PDX platform is an end-to-end predictive analytics solution that monitors critical assets by collecting and analyzing big data, with the goal of reducing unplanned downtime, increasing productivity and improving product quality.

Deploy Logo

The first step to harnessing the full power of an industrial process is collecting data. PDX DAQ is a software application that allows users to synchronize data collection from multiple sources for any given period of time. The result is an intentional and effective data acquisition approach, which only yields the necessary information for analysis and producing real-time, impactful results.

Don’t have a data collection strategy in place yet? Our team of experienced automation engineers and data scientists can help with the right data acquisition plan for your company’s needs.

DAQ
Sandbox Logo

Simply collecting data is not enough – further analysis is needed to draw useful meaning from it. PDX Sandbox is a software for developing custom applications, analyzing data and predicting impending failures.

Built upon extensive domain knowledge and equipped with algorithms that facilitate model-building, PDX Sandbox is a deployable, scalable and intelligent solution that enables users to analyze data without having to become an expert. Predictronics can provide training, pre-configured models and tutorials to get users started on creating and customizing solutions.

Deploy
Deploy Logo

Accessible, understandable and actionable information enables proactive decision making. PDX Deploy is an intuitive data visualization application that manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.

Already have an asset management system in place? Customers can still harness the power of PDX Deploy’s unique functions through an API that is compatible with most data analysis platforms.

Deploy
Library Logo

Accessible, understandable and actionable information enables proactive decision making. PDX Deploy is an intuitive data visualization application that manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.

Already have an asset management system in place? Customers can still harness the power of PDX Deploy’s unique functions through an API that is compatible with most data analysis platforms.

Deploy
Data Acquisition

Data Acquisition & Automation Services

Not all data is useful: Predictronics can help you collect the right data, at the right time, or craft a full data acquisition plan so customers can collect information that drives real-time, impactful results.

Health Monitoring

Health Monitoring

Machine health information provides critical insights that drive proactive decision making. Predictronics’ monitors assets to determine their health value and how quickly potential problems are escalating.

Fault Diagnosis

Fault Diagnosis

The key to efficient problem-solving is accuracy. Predictronics uses data to determine the root cause of your production problem, saving time and money on troubleshooting and unnecessary repairs.

Lifetime_Prediction

Lifetime Prediction

Utilizing a machine to its fullest capacity while still avoiding failures during production is crucial to any process. Predictronics monitors machine health to predict exactly when your equipment will need maintenance.

Product Quality Prediction

Product Quality Prediction

The goal of any organization is to reduce waste while maintaining the highest possible product quality. Predictronics monitors machine health to minimize testing and ensure quality standards are met.

INDUSTRIES

Predictronics’ customizable and versatile solutions have been deployed in a wide range of industries and applications, enabling businesses to overcome common industrial challenges to reach their full potential.

Manufacturing

MANUFACTURING

The modern world relies on the manufacturing industry to provide the products and materials it needs. Therefore, when a machine unexpectedly fails or malfunctions during production it can result in costly unplanned downtime. From labor and repair costs to scrap, even the slightest halt to productivity can immediately translate into astronomical monetary losses.

By using Predictronics’ predictive analytics solutions, manufacturers can put an end to production line bottlenecks, sudden machine failures, unnecessary repairs and waste, achieving improved product quality, optimal machine performance, extended maintenance windows and worry-free uptime.

Transportation

TRANSPORTATION

The mobility of people, goods and services drives world economy, making the reliability of transportation assets crucial to modern society. Cars, planes, ships and trains often work under conditions that impact performance and experience unexpected failures that result in downtime. For that reason, ensuring asset reliability and therefore fleet availability is essential to achieving uptime.

By using Predictronics’ predictive analytics solutions, designers, manufacturers and end-users can determine issues impacting productivity, performance and energy consumption, among other critical factors. This knowledge allows stakeholders to ensure fleet availability, improve designs, extend maintenance windows and increase overall safety.

Energy

ENERGY

As global energy demands continue to grow, providers must ensure power is being generated efficiently. Whereas it is the oil, gas, nuclear, solar, wind or coal industry, power generation and transmission assets must operate at optimal condition to make the most energy available to consumers.

By using Predictronics’ predictive analytics solutions, energy providers can compare actual and optimal power generation assessments, guarantee asset health and prepare for major overhauls. This allows energy providers to not only achieve worry-free uptime, but to consistently meet energy demands.

Industrial Equipment

INDUSTRIAL EQUIPMENT

Industrial equipment reliability is crucial to any business, bust especially those in construction, mining and agriculture. Thus, having industrial equipment such as tractors and excavators available and performing to their fullest ability should not be an unfounded expectation, but fact guaranteed.

By using Predictronics’ predictive analytics solutions, companies can optimize the availability of their industrial equipment to ensure a logistically effective process, prevent sudden asset failures, relate operating conditions to reliability and extend maintenance windows. In doing so, companies certify that no time is being wasted on unexpected events that put a halt to productivity.

CUSTOMERS

Through more than 30 projects, the Predictronics team has delivered impacts to companies in nearly every industry segment, including manufacturing, transportation and energy production. Predictronics has saved these companies, many of which are fortune 500 companies, tens of thousands of dollars through preventing unplanned downtime and waste, as well as increasing efficiency and productivity.

SELECTED CUSTOMERS

Nippon Steel

Analyzing big data from steel plants to diagnose subtle signals from equipment and detect hidden signs of failure before it occurs.

Komatsu

Analyzing big data from mining equipment to detect signs of failures from sensor signal, aiming for the maximum efficiency of mining operations.

Makino

Introducing and customizing a machine tool analysis platform for analyzing factory floor data.

NEWSROOM

PHM
TOP FIVE TAKEAWAYS FROM THE 2017 PHM SOCIETY CONFERENCE

Predictronics Chief Technology Officer David Siegel shares his top five takeaways from the 2017 Prognostics and Health Management (PHM) Society conference in St. Petersburg, Fla.

PHM Society 2017
PREDICTRONICS CTO TO SPEAK AT 2017 PHM SOCIETY CONFERENCE

Predictronics Chief Technology Officer David Siegel will participate in a round-table panel Oct. 1 at the 2017 Prognostics and Health Management (PHM) Society conference in St. Petersburg, Fla.

UC Magazine
SAY GOODBYE TO GUESSWORK

UC graduates founded a predictive analytics company that gives manufacturing clients more certainty in an uncertain world.

Business Courier
STARTUP LAUNCHES PRODUCT TO CUT DOWNTIME

A startup that was born from research at the University of Cincinnati launched a new product to help manufacturers avoid downtime that can cost them as much as $20,000 a minute.

PDX Platform
PDX PLATFORM

Faster, customizable, end-to-end predictive analytics solutions – that is the main purpose behind PDX, Predictronics’ innovative software platform for collecting and analyzing industrial big data.

Komatsu
KOMATSU

KOMATSU is the top IoT leading company in Japanese industry. It realizes prediction of unexpected failures via equipment’s sensor signals emitted in the field of mining. This is the solution provided by collaboration of ISID and US-based Predictronics, called Intelligent Maintenance.

Nippon Steel
NIPPON STEEL & SUMITOMO METAL CORPORATION (NSSMC)

In 2015 the company brought in a new method to detect failures before they occur, which aims to drastically improve facilities maintenance at its steel plant. At the core of this method is an Intelligent Maintenance solution offered through a collaborative effort between Japan's ISID and US-based Predictronics.

ABOUT

OUR STORY

Predictronics has been at the forefront of bringing predictive analytics solutions to the market since 2013, when its co-founders identified the opportunity to translate predictive analytics research into real-world impacts. Its team of highly experienced engineers, data scientists and software developers have helped customers in nearly every industry segment collect and analyze data to monitor critical assets and discover the key to a proactive maintenance policy and increased productivity. Predictronics’ custom solutions have prevented asset failures that can quickly add up to millions of dollars in downtime and maintenance costs, allowing customers to optimize performance by proactively planning for corrective actions.

OUR EXPERTISE

Our team empowers customers to demystify industrial big data and draw actionable insights from it. We want you to take ownership of your process regardless of skill level, and make better decisions that reduce downtime to increase productivity and profitability. Our solutions combine expertise in developing predictive technologies, industrial systems and business impacts to remove the guesswork from production and maintenance planning, replacing it with accurate predictions that allow you to have a worry-free process. We know what happens next, and so can you.

Edzel Lapira

Edzel Lapira, PhD

CEO

To turn research into real-world impacts – that is what has driven Dr. Edzel Lapira throughout his career and what motivated him to start Predictronics more than five years ago. Since then, Dr. Lapira has been at the forefront of bringing predictive maintenance solutions to the market, enabling businesses in various industries to make data-driven decisions that give them a competitive edge.

Dr. Lapira completed a doctorate in industrial engineering at the University of Cincinnati, where he studied at the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics. As Predictronics’ Chief Executive Officer, Dr. Lapira aims to deliver tools that provide fast, accurate insights that increase productivity and reduce downtime.

David Siegel

David Siegel, PhD

CTO

A desire to work with full data sets and solve real-world problems is what encouraged Dr. David Siegel to change his focus from research and start a business developing predictive analytics solutions. Five years after starting Predictronics, Dr. Siegel continues to use a combination of skills in signal processing and data science to lead projects and create algorithms that deliver value to various industries.

Dr. Siegel completed a doctorate in mechanical engineering at the University of Cincinnati, where he studied at the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics. As Predictronics’ Chief Technology Officer, Dr. Siegel uses the industrial space as the best proving ground for data science and leverages innovative solutions that bring real impact to customers.

Patrick Brown

Patrick Brown

CFO

The understanding that science is what ultimately drives our world is what encouraged Patrick Brown to start Predictronics. Since its beginning stages, Patrick has used his financial and logistical skills to advance the company’s interests and eliminate customers' anxieties over downtime. For Patrick, it is Predictronics’ unprecedented combination of business, technology and mechanical knowledge that sets it apart.

Patrick completed a bachelor’s in creative writing at the University of Cincinnati, where he also works as program director for the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics he has served for the past 10 years. As Predictronics’ Chief Financial Officer, Patrick believes companies can harness power over the bottom line by becoming familiar with the processes and factors that impact it.

Shanhu Yang

Shanhu Yang, PhD

Vice President of Product Development

Building models has been a passion of Dr. Shanhu Yang’s from a young age. Before he took on the challenge of designing predictive analytic solutions for the industrial space, he served as Predictronics’ first intern. Now, Dr. Yang leads a team of engineers and developers to transform advanced research results into products, implementing technologies that before only existed on paper.

Dr. Yang completed a doctorate in mechanical engineering at the University of Cincinnati, where he studied at the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics. As Predictronics’ Vice President of Product Development, Dr. Yang takes a customer-centric approach to solutions to ensure they are as customizable as they are effective.

Kelly Campbell

Kelly Campbell

Business Advisor

Kelly Campbell was convinced Predictronics would revolutionize the industrial space through predictive analytics. After working with the University of Cincinnati’s Center for Intelligent Maintenance Systems (IMS) to identify the right team, Campbell assisted Predictronics’ executives to transform their research into real-world impacts.

With more than 20 years of experience in developing and maintaining client relations, Campbell’s business advice and work securing investments was instrumental to the formation of the company. As Predictronics’ Vice President of Business Development, Campbell is committed to further developing the business so that more customers can use information to make strategic decisions.

Edzel Lapira

Edzel Lapira, PhD

Co-Founder & Board President

To turn research into real-world impacts – that is what has driven Dr. Edzel Lapira throughout his career and what motivated him to start Predictronics more than five years ago. Since then, Dr. Lapira has been at the forefront of bringing predictive maintenance solutions to the market, enabling businesses in various industries to make data-driven decisions that give them a competitive edge.

Dr. Lapira completed a doctorate in industrial engineering at the University of Cincinnati, where he studied at the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics. As Predictronics’ Chief Executive Officer, Dr. Lapira aims to deliver tools that provide fast, accurate insights that increase productivity and reduce downtime.

Patrick Brown

Patrick Brown

Co-Founder & Board Secretary

The understanding that science is what ultimately drives our world is what encouraged Patrick Brown to start Predictronics. Since its beginning stages, Patrick has used his financial and logistical skills to advance the company’s interests and eliminate customers' anxieties over downtime. For Patrick, it is Predictronics’ unprecedented combination of business, technology and mechanical knowledge that sets it apart.

Patrick completed a bachelor’s in creative writing at the University of Cincinnati, where he also works as program director for the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics he has served for the past 10 years. As Predictronics’ Chief Financial Officer, Patrick believes companies can harness power over the bottom line by becoming familiar with the processes and factors that impact it.

Jay Lee

Jay Lee, PhD

Co-Founder & Board Member

Dr. Jay Lee is an Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Distinguished Univ. Research Professor at the University of Cincinnati, and the founding director of the National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS), a world-renowned research center in industrial predictive analytics supported by over 90 global companies, including P&G, Toyota, Nissan and Toshiba.

Dr. Lee’s research focuses on Industrial Big Data Predictive Analytics, Prognostics & Health Management and Industry 4.0. In 2013, he facilitated the creation of Predictronics. In addition to serving as its advisor, Dr. Lee works as an honorary professor at multiple universities, holds several patents and awards, has delivered over 200 Keynote speeches and authored numerous influential articles and technical papers on intelligent maintenance systems, machine monitoring and prognostics and e-manufacturing.

Kelly Campbell

Kelly Campbell

Co-Founder & Board Member

Kelly Campbell was convinced Predictronics would revolutionize the industrial space through predictive analytics. After working with the University of Cincinnati’s Center for Intelligent Maintenance Systems (IMS) to identify the right team, Campbell assisted Predictronics’ executives to transform their research into real-world impacts.

With more than 20 years of experience in developing and maintaining client relations, Campbell’s business advice and work securing investments was instrumental to the formation of the company. As Predictronics’ Vice President of Business Development, Campbell is committed to further developing the business so that more customers can use information to make strategic decisions.

Atsushi Yoshimoto

Atsushi Yoshimoto

Board Member

Patrick Fitzgerald

Patrick Fitzgerald

Designer / Developer

Mathew Buzza

Matthew Buzza

Data Scientist

Jai Cai

Jia Cai, PhD

Electrical Engineer

Mahmoud Hassanpour

Mahmoud Hassanpour

Automation & Instrumentation Engineer

Fernandah Horner

Fernanda Horner

Marketing Content Manager

Brian Phillips

Brian Phillips

Mechanical Engineer

Nanda Kumar Saladi

Yuktheswara Nanda Kumar Saladi

Full Stack Developer

CONTACT