Since entering the market, DecisionIQ has secured marquee customers from Coca-Cola to Southern Company. Our Genesis IIoT platform produces distinctly superior results. In fact, all our POCs have been recommended to deployment, with complete cost justification. Some examples of rave reviews from our customers...
“We toured Hannover MSSE 2018. We looked everywhere. No company in predictive maintenance comes close to your Genesis platform. You are at least 3-4 years in-front of the competition.”
Senior Reliability Engineer, Fortune 100 Manufacturer
"You're the only analytics company able to predict this problem. Well done!"
VP Product Engineering, Fortune 100 Communications Company
Three other analytics companies unable to provide a solution.
"Excellent work. You detected all the hidden equipment failures in our nuclear plant."
VP Innovation, Top Three US Electrical Power Utility
We the Team
Nagi Gebraeel, PhD
Nagi is a visionary and world leader in the science of analytics for equipment health and failure prevention. He is a Professor at Georgia Tech's top ranked Industrial and Systems Engineering school (ISyE) school, and holds a Masters and Doctorate in Industrial & Systems Engineering from Purdue University. He brings 15 years of focused analytics research on real-world failure test lab projects with major industrial partners and the National Science Foundation. Nagi set the early vision and led the technical development of the GENESIS platform. LinkedIn...
Principal Data Engineer
Chris completed his undergraduate studies at the University of Michigan in computer science and worked over six years as a full stack developer, with an emphasis on building the back end data base infrastructure necessary to support the applications. He was also CTO in a funded startup building a web based platform for online learning. He received his Masters of Science in Analytics from Georgia Tech and is excited to bring his diverse package of coding experience back to the startup sector. This experience is proving essential to building our Genesis platform, including custom tools that automatically connect, curate and process client operations in real time with superior AI & ML results. LinkedIn...
Noah graduated from Georgia Tech in 2018 with a BS in Computer Science. He brings several years of key development experience and is making significant contributions to our platform development.
After completing his electrical engineering bachelors degree at the highly rated Universidade Federal do Espírito Santo in Brazil, Felipe worked at Schlumberger for seven years as a General Engineer on over 50 off-shore oil rigs in Malaysia, Norway and the Gulf of Mexico. He ultimately led drilling teams on large scale projects including drilling the longest well in the Gulf of Mexico. Now completing his Master of Science in Analytics at Georgia Tech, he is already fulfilling his personal goal at DecisionIQ -- to work in different industries and actively impact their performance. Felipe now leads our engineering team responsible for deployment of our Genesis AI platform at customer sites. LinkedIn...
Alan completed his BS in Industrial and Systems Engineering degree at Georgia Tech with a focus on optimization, simulation, and decision modeling. Alan worked as a Co-op for a major railroad company providing optimization methods in terminal management, analysis of network delay sources, field data collection, statistical analysis, and mathematical modeling. LinkedIn...
After receiving a perfect SAT score of 1600 on his math and verbal, Chad received his Bachelor’s degree in economics, with a minor in computer science, from Vanderbilt University. Afterwards, he received a Master of Science in Analytics from Georgia Tech, with a concentration in computational data analytics. He then began work as a quantitative analyst at Lucena Research, a fintech startup based in Atlanta. At Lucena, he analyzed large datasets for a variety of clients and applied novel machine and deep learning algorithms in an attempt to predict stock and commodity prices. LinkedIn...
A former fighter aircraft designer at the General Dynamics F-16 skunk works, and now a serial entrepreneur with over 25 years experience. Andrew is a proven product visionary who builds great teams at the intersection of fast-breaking technologies and markets. Past innovations include the first application of delta wings to advance performance on current generation fighter aircraft, first multi-processor desktop computers (built under a clone license from Apple), and a pre YouTube cloud platform for easy video publishing. Andrew brings his first-hand experience building innovative technology solutions to the Company's product strategy. He holds a Bachelors in Aerospace Engineering from Georgia Tech and an MBA from the University of Chicago.
Justin graduated from Georgia Tech in 2018 with a BS in Mechanical Engineering. In his three summer engineering internships, he gained experience testing out-sourced components used in manufacturing, testing finished products and building IoT solutions. LinkedIn...
Data Security Officer
Billy is a proven information security and risk management expert with over 20 years of experience from hands-on security to program management in a variety of industries. As a CISSP, he provides advisory and oversight services to develop, implement and improve comprehensive information security programs. His focus on software startups and prior auditing experience are indispensable to ensuring a viable data security standing for DecisionIQ and its Genesis Platform. Billy holds a Bachelors in Management Information Systems from Park University and an MBA from the University of Colorado at Denver. LinkedIn...
Data Scientist Advisor
Michael began writing and coding machine learning and optimization algorithms in high school, focusing on the stock market and sports analytics. He received a Bachelor's degree in Computer Science from Auburn University before going on to receive a Master of Science in Analytics from Georgia Tech. Michael worked as a graduate research assistant at Georgia Tech, focusing on anomaly detection algorithms for large distributed datasets. Michael has provided key technical leadership to architect and code the type of AI & ML engines that accurately predict failures in operation of heavy assets with significant economic savings. LinkedIn...
Principle Software Engineer
Steve brings over 20 years of experience in software development. He has an interest in distributed systems and has mainly worked for startups. He holds a Bachelor's in Computer Science from Georgia Tech.. LinkedIn...
As a research assistant, Kagen graduated from Georgia Tech in 2016 with a BS in Mechanical Engineering. Kagen brings substantial industry experience where he served his next three years as a plant engineer at a paper mill, here gaining substantial hands-on experience keeping highly complex machines up and running with traditional reliability methods. He was responsible for the maintenance schedules including planning for the monthly and annual plant-wide shut downs. Prior, he was responsible for maintaining the steam, boiler system, cooling towers, new projects and the preventative maintenance schedules. LinkedIn...
Join our Team!
Join a top team of engineers, data scientists and developers able to tackle enterprise class IIoT problems. They've built one of the world's first AI platforms successfully processing multi-plant factory data in real time. Learn from the best from a technical team that has been building IIoT solutions since 2003. We are looking for the best. If you're one of the best then help lead us forward. Send us your resume!
An AI Pipeline Special Built for Industrial IoT Solutions
The Genesis AI pipeline builds to specifically to process in real time, disparate silos of time series process data for all assets in both single and multiple manufacturing plants using the following model building pipeline:
Uses Plant Legacy Data
Process 1000's of tags per asset in time series
• Feature Engineering/Extraction
• Data Silo Unification
Recurrent (LSTM) Neural Networks
• Multiple Machine Learning Algorithms
• Fundamental Statistical Models
For each asset in the plant, there are over one million models evaluated with 300+ separate optimizations that generate 100’s of generations and 1000’s of total children, tests & iterations to produce a final ensemble optimized for very high detectability and very low false positives. Multi-plant tested, deployed and in operation on AWS.
Amazon Technology Partner
DecisionIQ is pleased to announce that as of November 2018 we have been recognized by Amazon’s Partner Network (APN) as a Technology Partner. Technology Partners are required to meet threshold revenue levels, exhibit high-levels of technical competency, and demonstrate proven expertise and a track record of successfully deploying customer solutions on AWS.