SOLUTIONS
Our solutions combine expertise in IIoT, Industrial AI, Big Data, Machine Learning, Predictive Analytics 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.
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.
Factory Sentinel for Industrial Robots, powered by the Predictronics PDX Platform, is an off-the-shelf data visualization and analysis application to manage and monitor the condition of industrial robots.
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.
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.
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.
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.
Factory Sentinel for Industrial Robots relies on an intuitive interface and built-in algorithms that enable personnel to visualize and monitor robot health without any prior data science experience.
A ready-to-deploy platform to monitor industrial robots, it combines all of the benefits of a more complex, custom solution in a rapidly deployable, scalable application that eliminates downtime.
Information is key to proactive decision-making, which is why Factory Sentinel for Industrial Robots allows factory personnel to dive deeper into robot performance and compare health values over time.
The platform’s ability to work with different robot makes and models is yet another attractive feature, bringing worry-free uptime, cost savings and increased profitability across entire facilities.
The real-time alerts Factory Sentinel for Industrial Robots issues when robots reach critical levels enable factory personnel to prevent downtime by assigning maintenance before a critical failure occurs.
In addition to preventing downtime, the platform’s customizable reports identify the source of the problem and allow for a more effective maintenance approach, saving otherwise wasted resources.
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
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
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
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
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.
Industrial AI
Predictronics has expertise in Industrial AI through the application of artificial intelligence and machine learning to address gaps in industry in the areas of customer value creation, productivity improvement, and insight discovery.
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
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
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
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 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 45 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
Analyzing big data from steel plants to diagnose subtle signals from equipment and detect hidden signs of failure before it occurs.
Analyzing big data from mining equipment to detect signs of failures from sensor signal, aiming for the maximum efficiency of mining operations.
Analyzing big data from HVAC equipment to monitor and detect early signs of subsystem failures, allowing for scheduled maintenance and preventing unexpected downtime.
PARTNERS
NEWSROOM
View More
View More
INDUSTRIAL AI AND ITS CHALLENGES AT THE 2018 PHM WORKSHOP
Predictronics' Co-Founder, Professor Jay Lee, and CTO, Dr. David Siegel, had a successful Workshop on Industrial AI at the 2018 Prognostics and Health Management Conference, discussing the successes and challenges of industrial artificial intelligence.
View More
View More
View More
View More
View More
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, 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, 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
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, PhD
VP of Product Development
Building models has been a passion of Dr. Shanhu Yang’s from a young age. In addition to designing predictive analytic solutions for the industrial space, 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
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, 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
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, 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
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
Board Member
Patrick Fitzgerald
Designer / Software Experience Developer
Matthew Buzza
Data Scientist
Jia Cai, PhD
Electrical Engineer
Brian Phillips
Mechanical Engineer
Yuktheswara Nanda Kumar Saladi
Full Stack Developer
Aaron Shelly
Data Scientist
Vinay Paladugu
Application Engineer
Venkat Lingala
Full Stack Developer
Varun Udupa
Application Engineer
Shanshan Bi
Data Scientist
Jillian Leedy
Content Marketing Manager
CONTACT
Predictronics Corp.
6824 Ashfield Dr. #201
Cincinnati, Ohio 45242
+1.513.792.8090
contact@predictronics.com
