Predictronics

SOLUTIONS

Our solutions combine expertise in IIoT, Industrial AI, Big Data, Machine Learning, Predictive Analytics and Business Impacts to remove the guesswork from industrial operations through process uptime, production planning, and optimized upkeep by providing actionable information and accurate predictions that empower you to have a transparent, worry-free business. 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.

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
Monitor

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.

Factory Sentinel
Compare

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.

Factory Sentinel
Report

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.

Factory Sentinel
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.

Industrial AI

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

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 50 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.

  • Komatsu Logo

    Analyzing big data and sensor signals from mining equipment to detect signs of failure and maximize the efficiency of mining operations.

    SEE CASE STUDY

  • Komatsu Logo

    Analyzing big data from steel plants to diagnose subtle signals from equipment and detect hidden sign of premature failure, ensuring steel product quality and reducing machined downtime.

    SEE CASE STUDY

  • Komatsu Logo

    Analyzing big data from HVAC equipment to monitor and detect early subsystem failures, allowing for scheduled maintenance and preventing unexpected downtime.

    SEE CASE STUDY

  • Komatsu Logo

    Analyzing big data and sensor signals from mining equipment to detect signs of failure and maximize the efficiency of mining operations.

    SEE CASE STUDY

PARTNERS

Our partners know the positive impact predictive analytics can have on industry. Thanks to their business insights and contributions of IoT and hardware they have helped us share our technologies and expertise with the world.

NEWSROOM

TVS Logo
TVS MOTOR SINGAPORE INVESTS US$ 3.2 MILLION IN PREDICTRONICS CORP.

TVS Motor Company is an ideal strategic investor and partner for Predictronics with a clear vision for harnessing the power of advanced analytics technologies.

PHM Society
PREDICTRONICS CTO TO ATTEND THE PHM SOCIETY CONFERENCE 2019

Predictronics is excited to announce our participation in this year’s PHM Society Conference in Scottsdale, Arizona, September 21st to September 26th.

American Automotive Summit
PREDICTRONICS TO ATTEND 2019 AMERICAN AUTOMOTIVE SUMMIT

Predictronics is excited to be a part of the 2019 Generis American Automotive Summit from September 16th – September 17th at the MGM Grand in Detroit, MI.

Manufacturing Leadership Award
PREDICTRONICS HONORED AND SOLUTION AWARDED BY THE NATIONAL ASSOCIATION OF MANUFACTURERS

Predictronics Corporation was awarded the 2019 Artificial Intelligence and Analytics Award at the Manufacturing Leadership Awards.

Feature Extraction
FEATURE EXTRACTION: WHAT TO FEED TO YOUR MODEL

Feature extraction has a large influence on the accuracy of predictions in machine learning
and analytics.

IoTco
PARTNER BLOG SERIES: STEPS TO A SUCCESSFUL PREDICTIVE SOLUTION

This blog was authored by Dr. Mohamed Abuali, CEO of IoTco, Predictronics’ newest business partner.

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Manufacturing Leadership Summit 2019
PREDICTRONICS TO ATTEND THE MANUFACTURING LEADERSHIP SUMMIT

Predictronics' PDX solution will be awarded at The Manufacturing Leadership Awards Gala.

The Reliability Conference
VALVE SOLUTIONS AND TAKEAWAYS FROM THE RELIABILITY CONFERENCE 2019

Predictronics had a fruitful experience at The Reliability Conference 2019 in Seattle, Washington.

Trade and Transport Event
PREDICTRONICS PARTNERS WITH KALMAR - CARGOTEC IN RAINMAKING PROGRAM

Predictronics Corp was selected from over 650 technology providers worldwide as 1 of the 14 finalists to convene for the Trade & Transport Impact Program.

Professor Jay Lee and Colleagues
PREDICTRONICS CO-FOUNDER JAY LEE RECEIVES ENTREPRENURIAL AWARD

Predictronics Co-Founder Jay Lee received an entrepreneurial award from the University of Cincinnati.

Reliability Conference 2019
PREDICTRONICS TO ATTEND THE RELIABILITY CONFERENCE 2019

Predictronics is pleased to announce our attendance at The Reliability Conference 2019 from May 6th – May 10th in Seattle, Washington.

Maintenance Con 2019
FOUR TAKEAWAYS FROM MAINTENANCE CON 2019

Predictronics had a productive experience at MaintenanceCon 2019 in Chicago, IL, hosted by uMaintenance.

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Valve Manufacturing Association
PREDICTIVE MONITORING BENEFITS AT THE VALVE INDUSTRY KNOWLEDGE FORUM

Predictronics had a rewarding experience at the Valve Industry Knowledge Forum.

Automate 2019
PREDICTIVE ROBOT SOLUTIONS AND TAKEAWAYS FROM AUTOMATE 2019

Predictronics had a successful experience exhibiting at Automate 2019.

American Manufacturing Summit
TAKEAWAYS FROM THE 2019 AMERICAN MANUFACTURING SUMMIT

Predictronics had a successful experience at the 2019 American Manufacturing Summit in Chicago, IL.

MaintenanceCon 2019
PREDICTRONICS CTO TO HOST TALK AT MAINTENANCE CON 2019

Predictronics is pleased to announce our attendance at MaintenanceCon 2019 from April 15 – April 17 at the Hyatt Regency McCormick Place in Chicago, IL.

Valve Manufacturers Association
PREDICTRONICS CEO TO SPEAK AT VALVE INDUSTRY KNOWLEDGE FORUM

Predictronics is proud to announce our participation in the Valve Industry Knowledge Forum April 9th – April 11th at the Doubletree Perimeter Park in Birmingham, Alabama.

Automate 2019
PREDICTRONICS TO ATTEND AUTOMATE 2019

Predictronics is excited to participate in Automate 2019 from April 8th – April 11th at McCormick Place in Chicago, IL.

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Rainmaking Finalist
PREDICTRONICS SELECTED FOR TRADE AND TRANSPORT PROGRAM

Predictronics was selected from over 650 technology providers world-wide as 1 of the 14 finalists for the Rainmaking Trade and Transport program.

DAQ Hardware
PREDICTRONICS TO HOST A DATA ACQUISITION WEBINAR

On January 29, 2019 at 2 p.m. EST, Predictronics’ will be hosting a data acquisition webinar, entitled Successful Data Acquisition: A Key Enabler for Realizing Predictive Analytics.

Predictronics 2018
PREDICTRONICS: 2018 YEAR IN REVIEW

The official launch of the PDX platform, our Factory Sentinel software and our newest version of DAQ are just three of the many reasons why 2018 was such a success for Predictronics.

IoTco Partnership
IOTCO AND PREDICTRONICS ANNOUNCE PARTNERSHIP

IoTco and Predictronics Announce Strategic Partnership to Drive Digital Transformation powered by Predictive Analytics.

Data Acquisition Word Cloud
DATA ACQUISITION SERIES PART III

Once you have selected your data acquisition hardware and software, the next step is to determine where to place your sensors.

Data Acquisition Word Cloud
DATA ACQUISITION SERIES PART II

Choosing the right data acquisition software is critical to setting up your data acquisition system.

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Data Acquisition Word Cloud
DATA ACQUISITION SERIES PART I

The first and most important steps in beginning your efforts are to identify your goals and determine what kind of data is right for your needs.

DMC 2018
FOUR TAKEAWAYS FROM DMC 2018

Predictronics had a successful experience at the Defense Manufacturing Conference in Nashville, Tennessee from December 3rd-December 6th.

DMC 2018
PREDICTRONICS TO SPEAK AND EXHIBIT AT DMC 2018

Predictronics is pleased to announce its participation in this year’s Defense Manufacturing Conference at Music City Center in Nashville, Tennessee from December 3rd through December 6th.

Predictronics Co-Founders
PREDICTRONICS CO-FOUNDER ACKNOWLEDGED BY OHIO FACULTY COUNCIL

Predictronics’ Co-Founder, Professor Jay Lee, was recently recognized by the Ohio Faculty Council (OFC) in Columbus, Ohio as the runner-up for this year’s Technology Commercialization Award.

DMDII Future Showcase
SEVEN TAKEAWAYS FROM THE DMDII FUTURE FACTORY TECHNOLOGY SHOWCASE

Predictronics had a fruitful experience at the DMDII Future Factory Technology Showcase at UI Labs in Chicago, IL on November 13th.

DMDII Logo
PREDICTRONICS TO LECTURE AT THE DMDII FUTURE FACTORY TECHNOLOGY SHOWCASE

Predictronics is proud to announce our participation in the DMDII Future Factory Technology Showcase hosted at UI Labs in Chicago, IL on November 13th.

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Advantech IoT Summit Takeaways
TOP THREE TAKEAWAYS FROM THE 2018 ADVANTECH IOT CO-CREATION SUMMIT

Members of Team Predictronics had a wonderful trip to Suzhou, China for the 2018 Advantech IoT Co-Creation Summit.

Shanghai Advantech Iot Co-Creation Summit 2018
PREDICTRONICS TO HOST SESSION AT ADVANTECH IOT CO-CREATION SUMMIT

Predictronics is excited to participate in the 2018 Advantech IoT Co-Creation Summit from November 1st to November 2nd at the Suzhou International Expo Center in Suzhou, China.

Philidelphia PHM 2018
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.

PHM SOCIETY 2018
PREDICTRONICS TO SPEAK AT 2018 PHM SOCIETY CONFERENCE

Predictronics is excited to announce its participation in this year’s 10th Annual Conference of the Prognostics and Health Management Society (PHM 2018).

IMTS 2018
TOP THREE TAKEAWAYS FROM IMTS 2018

Predictronics has had yet another rewarding IMTS show experience—thank you to all that visited our booth. The event overall was a huge success.

IMTS 2018
PREDICTRONICS TO ATTEND IMTS 2018

Predictronics is proud to participate in the annual International Manufacturing Technology Show from September 10th to September 15th at McCormick Place in Chicago, Illinois.

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DAQ
BASICS OF DATA ACQUISITION

Many machines, including most older or legacy machines, do not intrinsically support data acquisition, this does not mean data collection is impossible. Even on modern machines, the controller may not take the data needed.

NIST
PREDICTRONICS JOINS RESEARCH PROJECT WITH FORCAM AT DMDII

Predictronics is participating in an innovative research project at the Digital Manufacturing and Design Innovation Institute (DMDII) in Chicago.

NIST
LESSONS WE HAVE LEARNED DEVELOPING PREDICTIVE ANALYTICS SOLUTIONS

Data Scientist Aaron Shelly discusses the most important lessons the Predictronics team has learned while working on more than 30 predictive analytics projects.

NIST
TOP THREE TAKEAWAYS FROM THE NIST INDUSTRY FORUM

Chief Technology Officer David Siegel shares his top three takeaways from the National Institute of Standards and Technology’s (NIST) industry forum May 8-11 in Gaithersburg, Maryland.

NIST
FAQ: FACTORY SENTINEL FOR INDUSTRIAL ROBOTS

Data Scientist Matthew Buzza answers the most frequently asked questions about Factory Sentinel for Industrial Robots.

NIST
PREDICTRONICS CTO TO SPEAK AT NIST INDUSTRY FORUM

Chief Technology Officer David Siegel will speak at the National Institute of Standards and Technology’s (NIST) industry forum May 8-11 in Gaithersburg, Maryland.

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Reliability
TOP FIVE TAKEAWAYS FROM THE 2018 RELIABILITY CONFERENCE

Chief Technology Officer David Siegel shares his top five takeaways from The Reliability Conference (TRC) April 23-28 in Las Vegas.

Robots
HOW TO PREVENT THREE COMMON TYPES OF ROBOT FAILURES

CEO Edzel Lapira explains the three most common types of robot failures, how they affect operations and how to prevent them.

Las Vegas
PREDICTRONICS CTO TO SPEAK AT 2018 RELIABILITY CONFERENCE

Chief Technology Officer David Siegel will give two presentations at the 2018 Reliability Conference April 23-28 in Las Vegas.

Factory Sentinel
LAUNCH: FACTORY SENTINEL FOR INDUSTRIAL ROBOTS

A ready-to-deploy platform to monitor industrial robots, prevent unexpected failures and achieve worry-free uptime.

PoC
PROOF OF CONCEPT: FOUR STEPS TO AN EFFECTIVE PREDICTIVE STRATEGY

Application Engineer Vinay Paladugu discusses how a proof of concept enables companies to set an effective predictive analytics strategy.

Platform
FOUR WAYS YOU CAN BENEFIT FROM PREDICTIVE ANALYTICS PLATFORMS

Electrical Engineer Jia Cai shares four reasons why engineers and data scientists should take advantage of predictive analytics platforms.

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ISIDInvestment
ISID INVESTS IN THE FUTURE OF PREDICTRONICS

Predictronics is pleased to announce it has become an ISID affiliate to further its mission of delivering impactful solutions.

Turbine
BASICS OF VIBRATION FEATURE EXTRACTION

Mechanical Engineer Brian Phillips discusses how to leverage vibration data analysis and feature extraction.

2017
2017: PREDICTRONICS YEAR IN REVIEW

A growing staff, the release of PDX and increases in revenue are only a few of the several reasons why 2017 was a successful year for Predictronics.

NewYear
FIVE INDUSTRY 4.0 PREDICTIONS FOR 2018

Chief Technology Officer David Siegel shares five Industry 4.0 predictions for 2018.

Process Monitoring
TOP CHALLENGES OF PROCESS MONITORING

Data Scientist Aaron Shelly discusses the top challenges of process monitoring, including multiple operational regimes and machine-to-machine variability.

Data Collection
DATA COLLECTION: FIVE SIMPLE TIPS TO GET STARTED

Vice President of Automation & Instrumentation Mahmoud Hassanpour shares five simple strategies to help those getting started on their data collection journey.

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Boston
PREDICTRONICS CTO TO SPEAK AT 2017 IEEE CONFERENCE ON BIG DATA

Chief Technology Officer David Siegel will give an industrial big data tutorial Dec. 12 at the 2017 Institute of Electrical and Electronics Engineers (IEEE) International Conference on Big Data in Boston.

IndustrialAnalytics
INDUSTRIAL ANALYTICS: WHAT IT TAKES AND HOW PDX GETS YOU THERE

Data Scientist Matthew Buzza discusses the amount of knowledge, effort and time required to develop industrial analytics applications, and how the PDX platform can help.

DigitalTransformation
DIGITAL TRANFORMATION: WHAT IT IS AND HOW TO GET STARTED

CEO Edzel Lapira discusses how companies in the industrial segment can reap benefits of digital transformation.

FORCAM
TOP TAKEAWAYS FROM FORCAM’S SMART FACTORY WORLD SYMPOSIUM

Chief Technology Officer David Siegel shares his top takeaways from FORCAM’s third Smart Factory World Symposium in Chicago.

FORCAM
PREDICTRONICS TO ATTEND FORCAM'S SMART FACTORY WORLD SYMPOSIUM

Predictronics will attend FORCAM’s third Smart Factory World Symposium as a premium partner Oct. 26 at the Digital Manufacturing Design and Innovation Institute (DMDII) in Chicago.

PHM
TOP FIVE TAKEAWAYS FROM THE 2017 PHM SOCIETY CONFERENCE

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

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

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
LAUNCH: 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.

Webinar #3
SUCCESSFUL DATA ACQUISITION: A KEY ENABLER FOR REALIZING PREDICTIVE ANALYTICS

Learn how to set up a data acquisition system and how to properly collect data.

Webinar #2
HOW TO ELIMINATE
ROBOT FAILURES WITH
PREDICTIVE ANALYTICS

Learn more about industrial robots, common failure modes and how predictive analytics eliminates unplanned downtime.

Webinar #1
HOW TO INCREASE
THE BOTTOM LINE WITH
PREDICTIVE ANALYTICS

Learn more about Industry 4.0, industrial predictive analytics and the benefits of digital transformation.

Semiconductor
PREDICTIVE MONITORING
IN SEMICONDUCTOR
MANUFACTURING

Learn how Predictronics used a health index prediction model to extend the life of semiconductor equipment components and improve maintenance efficiency.

Daikin Logo
PREDICTIVE MONITORING
AND MACHINE LEARNING
OF HVAC EQUIPMENT

This case study on air condition systems was in collaboration with Daikin Industries, Ltd., The Global Leader of HVAC systems Manufacturing based out of Osaka, Japan.

FS Use Case
PREDICTIVE MONITORING
OF WELDING ROBOTS

Learn how the development of Factory Sentinel for Industrial Robots predicted the failure of welding robots.

Komatsu
BIG DATA ANALYSIS OF MINING EQUIPMENT

Learn how Pedictronics used sensor signals to detect failures in Komatsu’s mining equipment and maximize efficiency of mining operations.

Nippon Steel
BIG DATA ANALYSIS OF STEEL PLANT EQUIPMENT

Learn how Predictronics analyzed Nippon Steel & Sumitomo Metal’s big data to prevent machine failures and improve maintenance at a steel plant.

MANUFACTURING LEADERSHIP AWARD
MANUFACTURING LEADERSHIP AWARD WINNER

The configuration of the Predictronics PDX platform for Maxion won the 2019 Manufacturing Leadership Award for Artificial Intelligence and Analytics.

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

Turning data analysis and research into real-world impact is what has driven Dr. Edzel Lapira throughout his entire career and is the reason behind his motivation to start Predictronics. Since then, Dr. Lapira has led Predictronics to great success by delivering predictive maintenance and industrial AI solutions to businesses in a wide range of industries, enabling them to make data-driven decisions that give them a competitive edge.

Dr. Lapira earned his doctorate in industrial engineering at the University of Cincinnati, where he studied under Professor Jay Lee and served as the Associate Director of the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center that has worked with over 100 major companies worldwide, helping businesses attain industrial predictive analytics. As Predictronics’ Chief Executive Officer, Dr. Lapira aims to deliver tools that provide fast, accurate insights, increase productivity and reduce downtime.

David Siegel

David Siegel, PhD

CTO

A desire to work with full data sets and solve industry problems is what encouraged Dr. David Siegel to shift his attention from research to business, starting a company focused on developing predictive analytics applications for real-world challenges. Since then, Dr. Siegel has continued to use a combination of advanced skills in signal processing and data science to lead successful projects for a wide range of customers, as well as create industrial AI algorithms and methodologies that deliver value to various industries.

Dr. Siegel earned his 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 earned his 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.

Edzel Lapira

Edzel Lapira, PhD

Board President

Turning data analysis and research into real-world impact is what has driven Dr. Edzel Lapira throughout his entire career and is the reason behind his motivation to start Predictronics. Since then, Dr. Lapira has led Predictronics to great success by delivering predictive maintenance and industrial AI solutions to businesses in a wide range of industries, enabling them to make data-driven decisions that give them a competitive edge.

Dr. Lapira earned his doctorate in industrial engineering at the University of Cincinnati, where he studied under Professor Jay Lee and served as the Associate Director of the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center that has worked with over 100 major companies worldwide, helping businesses attain industrial predictive analytics. As Predictronics’ Chief Executive Officer, Dr. Lapira aims to deliver tools that provide fast, accurate insights, increase productivity and reduce downtime.

Patrick Brown

Patrick Brown

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 earned his 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.

Kelly Campbell

Kelly Campbell

Board Member

Kelly Campbell was convinced Predictronics would revolutionize the industrial space through predictive analytics. Campbell has helped Predictronics transform their research into real-world impacts by advising and informing company decisions through his business expertise and providing assistance with company expansion, identifying the right talent to join the Predictronics team from the University of Cincinnati’s Center for Intelligent Maintenance Systems (IMS).

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. Campbell is committed to further developing the business and sharing Predictronics’ impact with the world in order to help more customers make informed and strategic data–driven decisions.

Rajesh Narasimhan

Rajesh Narasimhan

Board Member

Mr Rajesh Narasimhan, aged 54 years, is an alumnus of the Indian Institute of Management - Ahmedabad and also holds a Masters in Computer Applications and a Bachelor's Degree in Statistics. He currently serves as the Chief Executive Officer of TVS Motor (Singapore) Pte Limited, the wholly owned subsidiary of TVS Motor Company headquartered in Singapore that is being leveraged to operationalise a digital technology start up focused on the Automotive and Fintech industries with portfolios and offerings that will deliver high quality solutions to help address real life business challenges by harnessing the power of Analytics, Artificial Intelligence (AI), Augmented Reality (AR), Internet of Things (IoT), Machine Learning (ML) and Virtual reality (VR). Mr Narasimhan also serves as a non-executive and non-independent Director on the Board of TVS Motor Company Limited as well as an independent Director on the Board of Parrot Solutions Pte Limited, a digital start up incorporated in Singapore.

Mr Narasimhan is an Innovative & highly adaptable leader with more than three decades of experience in both start up and mature organizations across multiple industries including Information Technology, Consumer Durables & Consumer Electronics. He brings extensive experience in General Management, Technology and Executive Leadership, Digital & Business transformation and Talent & leadership development.

He has had an illustrious career at TVS group, Covansys (A CSC Group Company) and Hewlett Packard, where he has been highly rated and valued as a quality top talent consistently delivering in every role and growing rapidly within the respective organizations.

Mr Narasimhan has advised several clients around their business transformation through digital and technology innovation leveraging Automation, Cloud, Cyber-security, Data Analytics and Management, Mobility & Social. He is very passionate and highly focused on Human Capital Management including leadership and talent development and has an established track record in acquiring, developing and retaining talent.

Mr Narasimhan has held senior positions at Hewlett Packard where he successfully led several business transformations and turnarounds last leading the delivery of their multi-billion $ enterprise services business across 25 countries in Asia Pacific & Japan where he had accountability for over 15,000 employees and more than 400 partners and vendors. Prior to this, he also served as the Vice President and General Manager of the Enterprise services business in Asia and as Vice President of Hewlett Packard's multi-billion $ Applications services business for Asia Pacific and Japan.

Prior to joining Hewlett Packard in June 2010, Mr Narasimhan had a 15+ year tenure with Covansys (Public listed, US headquartered company) during which he lived and worked in France, the Middle East and Singapore establishing and expanding its business & presence in the Asia Pacific, Japan and the Middle East geography last serving as their Senior Vice President and Head for the geography.

Prior to joining Covansys in January 1994, Mr Narasimhan held several executive positions with the TVS group in India including Sundaram-Clayton Ltd., TVS Whirlpool and TVS Electronics.

Atsushi Yoshimoto

Atsushi Yoshimoto

Board Member

Atsushi Yoshimoto is a director and board member of ISI-Dentsu of America, LTD. ISI-Dentsu of America, Inc. was established in New York in 1987 to extend their business support in Information Technology to customers originating from Japan, which expanded their business operations overseas to the United States of America. ISI-Dentsu of America has provided Japan Quality support at local terms, and has been evolving to stay relevant to customers.

ISI-Dentsu is dedicated to significantly contributing to the prosperity of their clients and society, with integrity as their moral backbone, by the judicious application of information technologies, working as a team of professionals who are always creative and innovative.

Patrick Fitzgerald

Patrick Fitzgerald

Designer / Software Experience Developer

Matthew Buzza

Matthew Buzza

Data Scientist

Brian Phillips

Brian Phillips

PDX DAQ Product Manager & Mechanical Engineer

Nanda Kumar Saladi

Yuktheswara Nanda Kumar Saladi

Full Stack Developer

Aaron Shelly

Aaron Shelly

Data Scientist

Vinay Paladugu

Vinay Paladugu

Application Engineer

Jillian Leedy

Jillian Leedy

Content Marketing Manager

Venkat Lingala

Venkat Lingala

Full Stack Developer

Varun Udupa

Varun Udupa

Application Engineer

Patrick Brown

Patrick Brown

Co-Founder

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 earned his 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.

Kelly Campbell

Kelly Campbell

Co-Founder

Kelly Campbell was convinced Predictronics would revolutionize the industrial space through predictive analytics. Campbell has helped Predictronics transform their research into real-world impacts by advising and informing company decisions through his business expertise and providing assistance with company expansion, identifying the right talent to join the Predictronics team from the University of Cincinnati’s Center for Intelligent Maintenance Systems (IMS).

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. Campbell is committed to further developing the business and sharing Predictronics’ impact with the world in order to help more customers make informed and strategic data–driven decisions.

Edzel Lapira

Edzel Lapira

Co-Founder

Turning data analysis and research into real-world impact is what has driven Dr. Edzel Lapira throughout his entire career and is the reason behind his motivation to start Predictronics. Since then, Dr. Lapira has led Predictronics to great success by delivering predictive maintenance and industrial AI solutions to businesses in a wide range of industries, enabling them to make data-driven decisions that give them a competitive edge.

Dr. Lapira earned his doctorate in industrial engineering at the University of Cincinnati, where he studied under Professor Jay Lee and served as the Associate Director of the Center for Intelligent Maintenance Systems (IMS), a world-renowned research center that has worked with over 100 major companies worldwide, helping businesses attain industrial predictive analytics. As Predictronics’ Chief Executive Officer, Dr. Lapira aims to deliver tools that provide fast, accurate insights, increase productivity and reduce downtime.

Jay Lee

Jay Lee

Co-Founder

Dr. Jay Lee is an Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, Distinguished University Research Professor at the University of Cincinnati, member of the Global Future Council for the World Economic Forum, 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 100 global companies.

Dr. Lee’s research focuses on Industrial Big Data, Industrial AI, Predictive Analytics, Prognostics & Health Management and Industry 4.0. In 2013, he facilitated the creation of Predictronics. In addition to serving as a company advisor, Dr. Lee works as an honorary professor at multiple universities, holds several patents and awards, has delivered over 200 keynote speeches and has authored numerous influential books, articles and technical papers.

David Siegel

David Siegel

Co-Founder

A desire to work with full data sets and solve industry problems is what encouraged Dr. David Siegel to shift his attention from research to business, starting a company focused on developing predictive analytics applications for real-world challenges. Since then, Dr. Siegel has continued to use a combination of advanced skills in signal processing and data science to lead successful projects for a wide range of customers, as well as create industrial AI algorithms and methodologies that deliver value to various industries.

Dr. Siegel earned his 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.

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