OUR CLIENTS HAVE ACHIEVED $20M IN SAVINGS
Predictive Maintenance POCs and Deployments
Asset health in medical manufacturing using Amazon Monitron
Asset health monitoring across multiple sites
Freestyle drink machines fleet-wide asset health detection
Digital network device failure prediction
Asset health in a nuclear power plant
POC PRICING
Predictive Maintenance POCs
Training Pack
Training to execute your POC and achieve max ROI$695
3 hours online
HOW TO LAUNCH YOUR POC:
- How to maximize ROI
- How to calculate downtime cost
- Asset selection for max ROI
- Sensor & platform selection
- The art of managing AI-based alarms
- SOW template for a POC
POPULAR
Launch Pack
Site assessment, POC sensor plan to demonstrate max ROI$2,995
two weeks part-time coaching
up to 50 sensors
EVERYTHING IN THE TRAINING PACK PLUS:
- Calculate the cost of your unplanned downtime
- Build your asset hierarchy, score rank assets for sensor installation
- Predict downtime saving & ROI from flagged assets
- Build a sensor installation list with meta data for setup
Pro Pack
We coach you to a winning POC with deployment SOW$9,995
three months part-time coaching
up to 50 sensors
EVERYTHING IN THE LAUNCH PACK PLUS:- Weekly calls, review assets on alarm status
- Monthly reporting on alarms
- Compilation of wins, saving with ROI calculation
- Deployment plan post POC with predicted ROI
Our Core Team
Experienced Engineers Skilled in AI POCs and Deployments
Andrew Lewis
Lead Consultant
Andrew founded DecisionIQ in 2015. The Company has executed many successful projects in predictive maintenance. Experienced with multiple predictive platforms, he has led many of the company's projects to high winning results by using the power of AI in combination with human inference to create solutions that enable rapid fire, better quality decision making. This approach has led to big wins on virtually all projects and staff loves the approach. Prior technology experience includes experimental fighter aircraft development at the F-16 skunkworks, high-performance computer platform co-development with Apple, and AI systems with Amazon Web Services (AWS).
Andrew graduated with a BS in Aerospace Engineering from Georgia Tech and an MBA from the University of Chicago, Graduate School of Business. LinkedIn...
Matt Alberts
Sensor AI Consultant
Matt is a mechanical engineer and digital transformation manager and brings over 15 years of experience at over 70 enterprise sites in heavy manufacturing, oil & gas, petrochemical, pulp, paper, and wood products. He is a Certified Maintenance & Reliability Professional (CMRP). He has direct hands-on experience in the process of evaluating, scaling, and operationalizing AI and IoT technologies for Industry 4.0 transformation at major enterprises, including Georgia Pacific and Lyondell Basell. Transformation skills include achieving mission-critical change management – the art of achieving motivated worker adoption of the new AI based workflows.
Matt graduated with a BS in Mechanical Engineering from Georgia Tech. He is now working on his PhD in Industrial Engineering at University of Tennessee, Knoxville, with a focus on building AI-based process. LinkedIn...
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