Cut Your Equipment Support Cost by 30-60%
Next generation IoT equipment analytics that enables robust integration of supply chain management into your equipment repair process.
Developed by the scientists at Georgia Tech's famed school of Industrial Engineering.
We serve companies who demand near 100% availability from their fleets of high-value mission-critical assets. Our breakthrough software platform cuts cost because reactive "just in case” is complex and crisis oriented. A simplified, proactive, "just in time” system built on the principles of supply chain management is efficient and makes cost reductions easy.
We use a new generation of analytics developed at Georgia Tech which leverage real-time asset-monitoring data to enable true operational intelligence and efficient supply chain management of spare parts. The payoff, when targeted at high risk equipment and operations, is an increase in operational uptime and a simultaneous reduction in operating cost and spare parts inventories.
Increase Operational Performance
Maximize equipment uptime. Detect and prevent the conditions and failure modes that cause downtime.
JIT Supply Chain for Spare Parts
Reduce spare parts inventories by just-in-time repair process. Centralize parts and ship to point of repair to preempt failure.
More Effective Field Service
Your technicians arrive at the repair site to prevent a failure with insightful repair diagnostics, and the right part on the truck.
We serve industries with fleets of high value assets whose performance is mission critical to P&L and balance sheet performance. We connect to existing data systems and provide integrated fleet-wide optimizations in real-time.
We bring advanced algorithms from Georgia Tech's Advanced Prognostics Laboratory. Applicable to gas turbine engines, APUs, gear boxes, batteries, generators, pumps, electronics, avionics for aircraft, rail and surface.
We bring advanced algorithms from Georgia Tech's Strategic Energy Institute. Applicable to gas and steam turbines, boilers, compressors, valves, cooling systems and related infrastructure. For refineries and power generation.
We provide predictions of quality failures caused by equipment degrading and falling out of calibration. Service your equipment before, and keep the line running. Applicable to actuators, bearings, electric motors and related infrastructure.
Cellular, microwave and cable networks (among many) require extensive field service networks all their own. By detect equipment degradations before failure, can reduce the cost of operation and supporting spare parts inventory. The technician arrives on site before failure with the right part on the truck and an excellent set of diagnostics.
Our experience and unique approach to industrial analytics produces distinctly superior results. We have received rave reviews from all our customers after reviewing results of our analytics platform. All projects been recommended to the next phase of development.
"You've exceeded all our hopes!"
VP Operations, Fortune 100 Company
Two other analytics companies unable to provide a solution.
"You're the only analytics company able to detect this problem. Well done!"
VP Product Engineering, Fortune 100 Company.
Three other analytics companies unable to provide a solution.
Industry Experienced Leadership
Our analytics software is built by experienced engineers, developers and scientists.
A former fighter designer at the F-16 skunk works, and now serial entrepreneur with over 25 years startup experience. A product visionary who builds great teams and brands at the intersection of emerging technologies and markets. Past innovations include the first multi-processor desktop built under a clone license from Apple, cloud platforms for video publishing. He also builds strategic co-development relationships, including Apple and IBM. He is both a mentor and Batch 5 alumnae at Georgia Tech’s Flashpoint startup incubator. He holds an MBA from the University of Chicago and a Bachelors in Aerospace Engineering from Georgia Tech. @LewisAndrewF LinkedIn...
Nagi Gebraeel, PhD
Chief Data Scientist
A visionary and world leader in the science of analytics for equipment health and failure prevention. Nagi is a Professor at Georgia Tech's top ranked Industrial and Systems Engineering school (ISyE) school, and brings 15 years of focused analytics research on real-world projects with major industrial partners and the National Science Foundation. There are over 1,200 peer citations to his research. Nagi Director of the Center for Predictive Analytics and Real Time Optimization, and Associate Director for analytics at Georgia Tech's Strategic Energy Institute. He holds a Doctorate in Industrial & Systems Engineering from Purdue University. LinkedIn...
Leadership in the Industrial IoT Through Fundamental Research
Our analytics technology is built on a foundation of 25 man-years of R&D at Georgia Tech. We remain at the front edge of innovation with direct connection to the following research centers:
Our Co-Founder, Nagi Gebraeel, leads the Center for Predictive Analytics and Real Time Optimization at Georgia Tech's famed Industrial Engineering Program. With research sponsored by the National Science Foundation (NSF) and major industrial partners including Siemens, General Motors, General Electric and Hamilton Sundstrand.
Pooling the best and brightest to solve problems that require interdisciplinary research in high performance computing and advanced big data analytics. This research center will be located in it's own facility in 2018.
The Georgia Tech's Analytics and Prognostics Systems Laboratory led by Co-Founder Nagi Gebraeel is one of the worlds largest test labs dedicated to the development and validation of failure detection and prediction tools.
We are a commercial spin-off of Georgia Tech's Strategic Energy Institute (SEI). Our Co-Founder, Nagi Gebraeel, is the SEI Associate Director for Analytics. SEI engages in fundamental energy-related research that will have a long-term, transformative effect on electrical power generation. SEI research also has application in a wide variety of asset-intensive industries that share common equipment like turbine engines, water pumps, electrical generators, etc.
A cutting-edge interdisciplinary manufacturing research institute that tackles the challenges facing today’s manufacturers. It is focused on the complete innovation value chain — from raw and recycled resources to prototypes and finished products — and develop materials, systems, processes, education programs, and policies.
Dr. Nagi Gebraeel, DecisionIQ Co-Founder and Chief Data Scientist reporting from one of the world's only equipment failure test labs.
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