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
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.

AUTOMOTIVE MANUFACTURING

With Predictronics’ solutions, automotive suppliers and manufacturers can predict the degradation of critical assets, such as industrial robots and press machines, to prevent unforeseen downtime, extend and optimize maintenance windows, eliminate production line bottlenecks, and reduce product quality issues. This empowers Predictronics’ customers to achieve optimal productivity, avoid wasted resources, reduce warranty claims and recalls, and increase profit margins.

Robot Icon

INDUSTRIAL
ROBOT

Press Machine Icon

PRESS
MACHINE

Robot Icon

INDUSTRIAL
ROBOT

Predictive solutions help automotive manufacturers avoid machine failures and potentially save $10,000 per minute of production downtime.

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Press Machine Icon

PRESS
MACHINE

Machine tools, including press machines, have a market growth rate of 7 percent each year. With this increasing demand, companies are relying on predictive maintenance solutions to prevent production stoppage events, which can cost a business tens of thousands of dollars in machine damages and downtime.

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SEMICONDUCTOR MANUFACTURING

Predictronics’ predictive solutions enable manufacturers in the semiconductor industry to extend component life through preventative maintenance, reducing wasted resources and avoiding replacement parts and labor costs. Predictronics’ solutions for virtual metrology and chamber matching can also monitor key process parameters that can predict product quality, increasing yield rates and reducing scrap.

Semiconductor Icon

SEMICONDUCTOR

In semiconductor manufacturing, capital equipment loses an average of 8% uptime to unexpected failures and 7% uptime to scheduled maintenance. Predictive solutions improve maintenance efficiency and extend the life of semiconductor equipment components.

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PROCESS MANUFACTURING

From food and beverage production and pharmaceuticals to raw material processing and textile fabrication, process manufacturing encompasses a wide variety of industries. By utilizing Predictronics’ predictive solutions, manufacturers can improve process optimization, maintain quality standards, reduce waste and prevent lost profits.

Semiconductor Icon

SEMICONDUCTOR

Steel Icon

NIPPON STEEL

Semiconductor Icon

SEMICONDUCTOR

In semiconductor manufacturing, capital equipment loses an average of 8% uptime to unexpected failures and 7% uptime to scheduled maintenance. Predictive solutions improve maintenance efficiency and extend the life of semiconductor equipment components.

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Steel Icon

STEEL

With more than 90% of steel manufacturers operating with excessive maintenance costs, predictive solutions can minimize production losses and prevent unplanned downtime, reducing the cost per ton and potentially saving companies billions in revenue each year.

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DISCRETE MANUFACTURING

Discrete manufacturing companies, such as those that produce appliances, automobiles, electronics and industrial equipment, among many others, can leverage predictive solutions to improve productivity, reduce downtime, accelerate the assembly process, increase product quality and optimize maintenance planning.

Press Machine Icon

PRESS
MACHINE

Machine tools, including press machines, have a market growth rate of 7 percent each year. With this increasing demand, companies are relying on predictive maintenance solutions to prevent production stoppage events, which can cost a business tens of thousands of dollars in machine damages and downtime.

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MARINE TRANSPORTATION

In marine vessels, major machinery and component malfunctions, such as diesel engine failures, can cause costly downtime and lost revenue due to shipping delays or missed opportunities. Predictronics’ predictive solutions increase overall reliability, ensure availability, reduce wasted resources and prevent lost profits.

Diesel Engine Icon

DIESEL
ENGINE

In the marine industry, 68% of vessel failures occur due to unnecessary and invasive maintenance. With predictive solutions, component degradation can be fixed on an as-need basis through preventative maintenance planning, increasing overall marine vessel reliability and preventing unnecessary costs.

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AUTOMOTIVE TRANSPORTATION

With Predictronics’ predictive solutions, automotive manufacturers can predict the degradation of components within automobiles to enhance production assembly, detect and diagnose vehicle health issues, improve fleet availability and resource planning. These improvements to the production line increase product quality and safety, optimize fuel economy, and prevent recalls and warranty claims.

Automotive Icon

AUTOMOTIVE
FLEET

Predictive solutions help automotive companies prevent recalls and improve the quality and safety of vehicles for passengers. On average, the automotive industry sees 906 recalls in a year with 46,000 vehicles affected per recall.

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RAILWAY TRANSPORTATION

By monitoring the health of railway systems and predicting failures in railway components, such as platform doors, point machines, induction motors, track tracers and more, companies in the railway transportation industry can optimize preventative maintenance schedules and ultimately address issues before they occur. Preventing these issues will increase customer satisfaction through reduced delays, while also increasing overall safety, efficiency, reliability and availability.

Platform Door Icon

PLATFORM
DOOR

Through predictive solutions, the railroad industry can minimize costly unscheduled maintenance and prevent cargo and passenger delays. This is essential in an industry that spends just under 25 billion U.S. dollars on rail infrastructure and equipment.

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AIRCRAFT TRANSPORTATION

Monitoring the health of commercial aircraft and predicting component and subsystem failure before it occurs is essential to keeping passengers safe, maintenance costs low and flights on time.

Aircraft Icon

COMMERCIAL
AIRCRAFT

Predictive solutions help airlines perform preventative maintenance to avoid expensive delays, which can potentially cost airlines an estimated $97 per minute, and prevent flight cancellations, which can potentially cost airlines an average of $68,000 per flight.

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OIL & GAS

Unexpected failures in the oil and gas industry can cause costly downtime, as well as result in safety risks and hazardous leaks. Through Predictronics’ predictive solutions, oil and gas companies can detect the equipment and machine failures before they occur, increasing productivity, improving safety, reducing overall costs and improving profits.

Mud Pump Icon

MUD PUMP

Predictive solutions in the oil and gas industry prevent hazardous leak events, as well as unscheduled downtime due to inefficient maintenance practices that can cost refiners a potential average of $60 billon per year in operating costs.

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HEATING & AIR CONDITIONING

Manufacturers and professionals in the building services industry face consistent challenges when developing, installing, and maintaining systems, such as heating and air-conditioning. With Predictronics’ predictive solutions, these businesses can detect component and subsystem failures before they occur, allowing for planned preventative maintenance, decreasing wasted manpower and reducing operating costs, while also improving uptime and customer satisfaction.

HVAC Icon

HVAC
EQUIPMENT

Predictive solutions provide the HVAC industry with the intelligence needed to determine component degradation and take preventative maintenance steps, saving companies a potential $22,000 per minute in unexpected downtime due to system failures.

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AGRICULTURE EQUIPMENT

From tractors and combines to planters and balers, farming equipment manufacturers want to provide their customers with high quality machinery through improved overall health and increased uptime. By utilizing data-driven solutions, manufacturers can increase the reliability of their equipment, helping farmers enhance the productivity and efficiency of crop production and reduce machine replacement and repair costs.

Agriculture Icon

AGRICULTURE
EQUIPMENT

Predictive solutions ensure the reliability and efficiency of machinery in agriculture, allowing for proactive maintenance that can potentially save customers anywhere from $8 - $156 an hour per vehicle in fuel, repair, and general costs.

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MINING EQUIPMENT

In the mining industry, underperforming machinery can cause hazardous accidents and lead to production and process issues. With Predictronics’ predictive solutions, industry professionals can pinpoint equipment and vehicle health issues, determine component failure, prevent bottlenecks with proactive maintenance, and improve miner safety.

Mining Icon

MINING
EQUIPMENT

In the mining industry, predictive solutions provide businesses with the intelligence they need to make smart maintenance decisions, potentially saving more in lost profits due to fleet vehicle downtime than the earnings from a single mining construction site, with typical costs averaging at about $180,000 per incident.

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CUSTOMERS

Predictronics has provided solutions to more than 70 businesses worldwide, impacting nearly every industry. Our work brings value to our customers, many of whom are Fortune 500 companies, by preventing failures, reducing unplanned downtime, lowering costs, optimizing productivity, minimizing scrap and waste, and reducing product quality issues.

  • Komatsu Logo

    CUSTOMER  //  INDUSTRIAL EQUIPMENT

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

    SEE CASE STUDY

  • Nippon Steel Logo

    CUSTOMER  //  PROCESS MANUFACTURING

    Analyzing big data from steel plants to diagnose warning signals from equipment and detect hidden signs of premature failure, ensuring steel product quality and reduced machine downtime.

    SEE CASE STUDY

  • Diakin Logo

    CUSTOMER  //  HEATING & AIR CONDITIONING

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

    SEE CASE STUDY

  • ISID Logo

    PARTNER  //  INVESTOR & SALES

    This platform [PDX] helps our customers solve issues that can occur when implementing predictive maintenance solutions, such as the shortage of experienced data analysts and the large financial investment needed to develop a deployment system.

    VIEW BLOG POST

  • Siemens Mindsphere Logo

    PARTNER  //  TECHNOLOGY

    "With Predictronics as a partner in the MindSphere ecosystem, customers gain access to predictive analytics and Industrial AI solutions to add value to their digital transformation initiatives," said Florian Beil, Head of MindSphere Sales and Partners, Siemens Digital Industries Software.

    VIEW BLOG POST

  • Komatsu Logo

    CUSTOMER  //  INDUSTRIAL EQUIPMENT

    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

Predictronics partners with system integrators and technology providers to package our solutions with their offerings. 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

Semiconductor
PREDICTRONICS TO HOST SEMICONDUCTOR MANUFACTURING WEBINAR

Join Predictronics for a semiconductor manufacturing webinar on October 29.

AI Image
THREE TAKEAWAYS FROM THE INDUSTRIAL AI FOR SMART MANUFACTURING VIRTUAL CONFERENCE

Predictronics had a productive experience participating in the Industrial AI for Smart Manufacturing Virtual Conference.

Data Challenge
PREDICTRONICS WINS SIEMENS DATA CHALLENGE

Predictronics is proud to announce our company has won the AI Data Challenge for Intralogistics Centers organized by Siemens Digital Industries Customer Services (DI CS).

Airplane Image
PREDICTRONICS RECEIVES PHASE II SMALL BUSINESS INNOVATION RESEARCH AWARD

Predictronics is proud to announce we have received a second phase Small Business Innovation Research award.

Predictive Quality Image
PREDICTRONICS TO HOST PREDICTIVE PRODUCT QUALITY SOLUTIONS WEBINAR

On June 18, 2020 at 2 p.m. EST, Solution Engineers, Vinay Paladugu and Varun Udupa, will be hosting a predictive quality webinar, entitled Deployable Solutions for Predictive Product Quality.

Jetro Logo
PREDICTRONICS CTO CO-HOSTED JAPAN EXTERNAL TRADE ORGANIZATION WEBINAR ON SMART MANUFACTURING

Predictronics was excited to participate in the Smart Manufacturing webinar hosted by JETRO, the Japan External Trade Organization.

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Automotive Manufacturing
PREDICTRONICS TO HOST AUTOMOTIVE MANUFACTURING CASE STUDIES WEBINAR

Our webinar will showcase how predictive solutions are configured and deployed, and how these solutions create value within automotive manufacturing.

Predictive Scheduling
PREDICTRONICS CTO TO CO-HOST WEBINAR ON AI-BASED PREDICTIVE MAINTENANCE AND QUALITY

Join Dr. Siegel and learn how you can develop a successful AI-based solution to reduce unplanned downtime through predictive maintenance and improve product quality in production.

Predictive Scheduling Webinar
PREDICTRONICS TO HOST A PREDICTIVE SCHEDULING WEBINAR

On May 7, 2020 at 2 p.m. EST, Predictronics CTO Dr. David Siegel will be hosting a webinar, entitled Optimized Predictive Maintenance and Production Planning with Predictive Dynamic Scheduling.

iSiD Logo
PARTNER BLOG SERIES: SUCCESSFUL PREDICTIVE SOLUTIONS WITH PREDICTRONICS

This blog was authored by ISID, a Predictronics partner and leading solutions provider and system integrator in Japan founded by GE and Dentsu.

Orlando, Florida
SUCCESSFUL PREDICTIVE SOLUTIONS AT THE MOTOR AND DRIVE SYSTEMS CONFERENCE 2020

Predictronics had a fruitful experience at the Motor and Drive Systems Conference 2020.

MxD Floor Day
TOP THREE TAKEAWAYS FROM THE MXD FACTORY FLOOR DAY

Predictronics had a rewarding experience at the MxD Factory Floor Day in Chicago, IL.

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Year in Review 2019
PREDICTRONICS: 2019 YEAR IN REVIEW

This past year has been an exciting and successful one for Predictronics.

Siemens Logo
PREDICTRONICS JOINS SIEMENS' MINDSPHERE PARTNER PROGRAM TO DELIVER ANALYTICS APPLICATION FOR ROBOT HEALTH MONITORING

Partnership enables Predictronics to deliver new MindSphere Industrial IIoT application

Business Courier Article
CINCINNATI TECH FIRM, PREDICTRONICS, NABS
3.2 MILLION INVESTMENT

Cincinnati Business Courier -- A local artificial intelligence startup that was born out of the University of Cincinnati received an investment from one of the world's largest motorcycle manufacturers.

Scottsdale, Arizona
TOP FOUR TAKEAWAYS
FROM THE PHM SOCIETY CONFERENCE 2019

Predictronics had a rewarding experience at this year’s 11th Annual Conference of the Prognostics and Health Management Society in Scottsdale, Arizona.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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.

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.

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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 #7
DEPLOYABLE SOLUTIONS FOR DOWNTIME REDUCTION, QUALITY IMPROVEMENT, AND PROCESS OPTIMIZATION IN SEMICONDUCTOR MANUFACTURING

Learn the real-world impact of predictive solutions for semiconductor manufacturing, as well as how these solutions are configured and deployed.

Webinar #6
DEPLOYABLE SOLUTIONS FOR PREDICTIVE PRODUCT QUALITY

Learn the real-world impact of predictive solutions for product quality, as well as how these solutions are configured and deployed.

Webinar #5
SUCCESSFUL DEPLOYMENTS OF PREDICTIVE MAINTENANCE SOLUTIONS IN AUTOMOTIVE MANUFACTURING

Learn the value of predictive solutions for automotive manufacturing, as well as how these solutions are configured and deployed.

Webinar #4
OPTIMIZED PREDICTIVE MAINTENANCE AND PRODUCTION PLANNING WITH PREDICTIVE DYNAMIC SCHEDULING

Learn the value of this solution and how to implement dynamic scheduling to optimize and impact business operations.

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 Image
VIRTUAL METROLOGY PREDICTIVE SOLUTIONS FOR SEMICONDUCTOR MANUFACTURING

Learn how Predictronics developed a virtual metrology solution for semiconductor manufacturing that ensures product quality and reduces the need to perform costly measurements.

Airplane Image
AI-BASED PREDICTIVE MAINTENANCE SOLUTION AND SOFTWARE INTERFACE FOR IMPROVED NAVAL OPERATIONS AND AVAILABILITY

To learn more about our work from phase one of this SBIR project, view our use case here.

Predictive Quality Image
DEPLOYABLE SOLUTIONS FOR PROCESS OPTIMIZATION AND IMPROVED PRODUCT QUALITY

Learn how Predictronics develops predictive quality solutions for numerous industrial applications, improving product quality and production efficiency.

MxD
PREDICTIVE DYNAMIC
SCHEDULING FOR SMART
FACTORY OPTIMIZATION

Through a funding program offered by MxD, Predictronics and partners created an integrated framework that merges machine health and dynamic scheduling.

Automotive Fleet
PREDICTIVE MAINTENANCE
OF AUTOMOTIVE FLEET
MANAGEMENT

Predictronics has developed many predictive solutions for fleet vehicle management in heavy industrial applications such as mining, agriculture, construction and cargo.

Platform Door
PREDICTIVE HEALTH
MONITORING OF RAILWAY
PLATFORM DOORS

Learn how Predictronics used platform door health data to predict component degradation and prevent door failure, prioritizing maintenance and saving time, resources and labor costs.

Diesel Engine
PREDICTIVE MAINTENANCE
FOR DIESEL ENGINES

Learn how Predictronics used marine vessel fleet data to predict diesel engine failure, increasing overall reliability and improving maintenance planning.

Oil and Gas
PREDICTIVE MAINTENANCE
FOR OIL AND GAS PUMPS

Learn how Predictronics used mud pump test bed data to predict seal failure, preventing hazardous leak events and reducing unscheduled downtime.

Airplane
PREDICTIVE MAINTENANCE
FOR COMMERCIAL
AIRCRAFT

Learn how Predictronics used full-flight data to predict valve failures in the aircraft environmental control system, increasing passenger satisfaction and preventing delays.

Press Machine
PREDICTIVE HEALTH
MONITORING OF
PRESS MACHINES

Learn how Predictronics used raw data anomalies to predict press machine failure, improve maintenance scheduling and increase profit margins.

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.

Cincinnati Business Courier
2020 TECH COMPANY OF THE YEAR

Predictronics received the 2020 Innovation & Technology Award for 'Tech Company of the Year' from the Cincinnati Business Courier.

Cincinnati Business Courier
2020 BEST DEVICE/APPLICTION

Predictronics received the 2020 Innovation & Technology Award for 'Best Device/Application' from the Cincinnati Business Courier.

The Tech Tribune
2020 BEST TECH STARTUPS
IN CINCINNATI

The Tech Tribune -- Predictronics was featured on the '2020 Best Tech Startups in Cincinnati' list published by The Tech Tribune.

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 and AI solutions to the market since 2013. Our team of highly experienced engineers, data scientists and software developers have helped customers in nearly every industry collect and analyze data to monitor critical assets and discover the key to preventative maintenance, worry-free uptime and increased productivity. Predictronics’ custom solutions have prevented asset failures that can quickly add up to millions of dollars in downtime and repair costs.

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

Senior Data Scientist

Brian Phillips

Brian Phillips

PDX DAQ Product Manager & Senior Mechanical Engineer

Aaron Shelly

Aaron Shelly

Senior Data Scientist

Vinay Paladugu

Vinay Paladugu

Solution Engineer

Jillian Leedy

Jillian Leedy

Marketing Manager

Venkat Lingala

Venkat Lingala

Full Stack Developer

Varun Udupa

Varun Udupa

Solution Engineer

Mohan Balli

Mohan Balli

Full Stack Developer

Yinglu Wang

Yinglu Wang

Data Scientist

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.

CONTACT