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.
The first step to harnessing the full power of an industrial process is collecting data. PDX DAQ is a software application that allows users to synchronize data collection from multiple sources for any given period of time. The result is an intentional and effective data acquisition approach, which only yields the necessary information for analysis and producing real-time, impactful results.
Don’t have a data collection strategy in place yet? Our team of experienced automation engineers and data scientists can help with the right data acquisition plan for your company’s needs.
Simply collecting data is not enough – further analysis is needed to draw useful meaning from it. PDX Sandbox is a software for developing custom applications, analyzing data and predicting impending failures.
Built upon extensive domain knowledge and equipped with algorithms that facilitate model-building, PDX Sandbox is a deployable, scalable and intelligent solution that enables users to analyze data without having to become an expert. Predictronics can provide training, pre-configured models and tutorials to get users started on creating and customizing solutions.
Accessible, understandable and actionable information enables proactive decision making. PDX Deploy is an intuitive data visualization application that manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.
Already have an asset management system in place? Customers can still harness the power of PDX Deploy’s unique functions through an API that is compatible with most data analysis platforms.
Accessible, understandable and actionable information enables proactive decision making. PDX Deploy is an intuitive data visualization application that manages and monitors critical assets, issues detailed reports, maps degradation trends and predicts potential failures to achieve worry-free uptime.
Already have an asset management system in place? Customers can still harness the power of PDX Deploy’s unique functions through an API that is compatible with most data analysis platforms.
Factory Sentinel for Industrial Robots relies on an intuitive interface and built-in algorithms that enable personnel to visualize and monitor robot health without any prior data science experience.
A ready-to-deploy platform to monitor industrial robots, it combines all of the benefits of a more complex, custom solution in a rapidly deployable, scalable application that eliminates downtime.
Information is key to proactive decision-making, which is why Factory Sentinel for Industrial Robots allows factory personnel to dive deeper into robot performance and compare health values over time.
The platform’s ability to work with different robot makes and models is yet another attractive feature, bringing worry-free uptime, cost savings and increased profitability across entire facilities.
The real-time alerts Factory Sentinel for Industrial Robots issues when robots reach critical levels enable factory personnel to prevent downtime by assigning maintenance before a critical failure occurs.
In addition to preventing downtime, the platform’s customizable reports identify the source of the problem and allow for a more effective maintenance approach, saving otherwise wasted resources.
Data Acquisition & Automation Services
Not all data is useful: Predictronics can help you collect the right data, at the right time, or craft a full data acquisition plan so customers can collect information that drives real-time, impactful results.
Health Monitoring
Machine health information provides critical insights that drive proactive decision making. Predictronics’ monitors assets to determine their health value and how quickly potential problems are escalating.
Fault Diagnosis
The key to efficient problem-solving is accuracy. Predictronics uses data to determine the root cause of your production problem, saving time and money on troubleshooting and unnecessary repairs.
Lifetime Prediction
Utilizing a machine to its fullest capacity while still avoiding failures during production is crucial to any process. Predictronics monitors machine health to predict exactly when your equipment will need maintenance.
Product Quality Prediction
The goal of any organization is to reduce waste while maintaining the highest possible product quality. Predictronics monitors machine health to minimize testing and ensure quality standards are met.
Industrial AI
Predictronics has expertise in Industrial AI through the application of artificial intelligence and machine learning to address gaps in industry in the areas of customer value creation, productivity improvement, and insight discovery.
INDUSTRIES
Predictronics’ customizable and versatile solutions have been deployed in a wide range of industries and applications, enabling businesses to overcome common industrial challenges to reach their full potential.
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.
INDUSTRIAL
ROBOT
PRESS
MACHINE
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
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 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
In semiconductor manufacturing, capital equipment loses an average of 8% uptime due 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
NIPPON STEEL
SEMICONDUCTOR
In semiconductor manufacturing, capital equipment loses an average of 8% uptime due 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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NIPPON 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
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
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, increase product quality and safety, optimize fuel economy, avoid recalls, and both reduce and more proactively address warranty claims.
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
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 failures before they occur are essential to keeping passengers safe, maintenance costs low and flights on time.
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
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
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
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
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
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.
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
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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.
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ABOUT
OUR STORY
Predictronics has been at the forefront of bringing predictive analytics solutions to the market since 2013, when its co-founders identified the opportunity to translate predictive analytics research into real-world impacts. Its team of highly experienced engineers, data scientists and software developers have helped customers in nearly every industry segment collect and analyze data to monitor critical assets and discover the key to a proactive maintenance policy and increased productivity. Predictronics’ custom solutions have prevented asset failures that can quickly add up to millions of dollars in downtime and maintenance costs, allowing customers to optimize performance by proactively planning for corrective actions.
OUR EXPERTISE
Our team empowers customers to demystify industrial big data and draw actionable insights from it. We want you to take ownership of your process regardless of skill level, and make better decisions that reduce downtime to increase productivity and profitability. Our solutions combine expertise in developing predictive technologies, industrial systems and business impacts to remove the guesswork from production and maintenance planning, replacing it with accurate predictions that allow you to have a worry-free process. We know what happens next, and so can you.
Edzel Lapira, PhD
CEO
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, 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
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, 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
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
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
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
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
Designer / Software Experience Developer
Matthew Buzza
Senior Data Scientist
Brian Phillips
PDX DAQ Product Manager & Mechanical Engineer
Yuktheswara Nanda Kumar Saladi
Full Stack Developer
Aaron Shelly
Senior Data Scientist
Vinay Paladugu
Solution Engineer
Jillian Leedy
Marketing Manager
Venkat Lingala
Full Stack Developer
Varun Udupa
Solution Engineer
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
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
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
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
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.
