OUR CLIENTS HAVE ACHIEVED $20M IN SAVINGS
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
AI, ML, NLP Hands-on Industrial Experience
Proof of Concept (POC) for Enterprise
POCs Recommended For Deployment
In Unplanned Downtime in Industrial Ops
Monitron Predictive Maintenance Platform
Wireless Vibration Sensors Installed
BOOK A FREE STARTER CALL
Reach out with an email and we'll scheduled a 30 min call for some informal Q&A
3 hours online
HOW TO LAUNCH YOUR POC:
two weeks part-time coaching
up to 50 sensors
EVERYTHING IN THE TRAINING PACK PLUS:
three months part-time coaching
up to 50 sensors
Funded by AWS for Qualifying Accounts
Amazon Monitron is a very low cost end-to-end predictive maintenance platform that includes sensors. No data science personnel required.
Training & Sensor Installation
We can come on-site to perform training and physical installation of sensors on equipment and the gateways they connect to.
Plan and build out at scale
The transition from POC is operational deployment presents workflow and training challenges to capture ROI.
Find opportunities to enhance operations
We take data from your CMMS to find hidden costs and opportunities for transformation with the AWS Industrial IoT services.
INDUSTRY 4 STRATEGY
More power with simplification
From the C-Suite, how the AWS industrial IoT stack can transform your legacy operation into a competitive advantage in your market.
AWS INDUSTRIAL IoT
Custom Architected Solutions
AWS offers IoT services that can be assembled into for powerful solutions for multi-sensor integration, custom ML and alarms.
Our Core Team
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...
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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