RESULTS HAPPEN HERE
We are AI / engineering experts who use technologies from Amazon Web Services (AWS) to build enhanced predicitive maintenance (PdM) solutions for asset repair decisions during planned downtime. We have direct experience constructing and implementing these solutions.
START WITH
AMAZON MONITRON
A Quick Start, Low Cost PdM Platform
The Monitron platform includes everything you need to reduce unplanned downtime. AI modeling is accurate and fully automated.
--- Amazon Monitron ---
BUILD AN IoT
DATA LAKE
Connect Other Operational Data
Securely store, monitor, display and analyze multiple data streams, leading to hidden insights on asset health.
--- Amazon S3 ---
--- Amazon IoT SiteWise ---
INTEGRATE IoT DATA FOR DEEP INSIGHTS
Fast, Accurate Repair Decisions at Scale
Integrate Monitron with various sensors and data sources, including PLC and CMMS, to develop tailored AI-driven fault detection, and alarms supporting diagnostics.
--- Amazon Lookout for Equipment ---
ABOUT AMAZON MONITRON
Sensors that measure vibration and temperature attach on assets and transmit data through the gateway to the AWS cloud. The dashboard and special AI/ML algorithms to detect anomalies are automatically setup up and ready to go just hours from installation.
NO RISK PILOTS FOR AMAZON MONITRON
Amazon Web Services (AWS), in partnership with DecisionIQ, has launched a program to fund Amazon Monitron pilots for qualifying industrial companies.
A NO RISK 90 DAY PILOT
An AWS Funded Monitron Pilot
For maximum ROI and a great skills development, let us help you with your Monitron pilot. Our time is courtesy of AWS.
EXPERT COACHING
Learn the Secrets to Best Results
Our structured coaching will teach you the secrets to working with AI PdM system. This includes asset selection, sensor installation and interpreting AI-based alarms, which are different!
NO DATA SCIENCE SKILLS REQUIRED
Monitron AI/ML is Automated
Save big because no data science personel are required to set up and manage the AI/ML models. With Monitron, its fully automated. So is dashboard set up.
FINISH WITH A DEPLOYMENT PLAN
A Plan Based on Your Operation
Based on the results from the pilot, we provide a deployment plan, budget and expected ROI. Everything you need to make a structured decision.
MONITRON PILOT PROGRAM OUTLINE
Get the Program Details
AmazonWeb Services (AWS), in partnership with DecisionIQ, has launched a pilot program to collaborate with industrial companies to support them on their journey to drive digital transformation.
RAVE REVIEWS
Endorsements from a few of our esteemed clients
"DecisionIQ’s role as a catalyst in our Amazon Monitron POC was fundamental to its great success. We achieved an outstanding ROI and the experience to deploy at scale, which is now underway."
A.K. Karan - Global Senior Director, Digital Transformation at Baxter International
"DecisionIQ helped us reach the next level in our adoption of AI for Predictive Maintenance."
Titus Davis - Director of Digital Transformation at
Georgia Pacific
"You're the only analytics company able to diagnose and predict these network failures. Well done!"
Ted Boone - Director Network Engineering at Cox Communications
OUR HISTORY WITH AI...
Over $22M in Maintenance Savings Idenitified
Asset health in life sciences
Asset health in wood products monitoring multiple sites
Drink machines with asset health detection
Cable digital network predictive failure prediction
AI /NLP integration into maintenance for miltary aircraft
AFFORDABLE COACHING TO GET MAX ROI
Predictive Maintenance POCs For Legacy Assets
Training Pack
Training to execute your POC and achieve max ROI$695
3 hours online training.
Sensor cost not included.
HOW TO LAUNCH YOUR POC:
- Three types of savings
- How to maximize ROI
- How to calculate downtime cost
- Asset selection for a POC
- The art of managing AI-based alarms
- Sensor & platform selection
Funding is available for qualified Amazon Monitron POCs.
POPULAR
Launch Pack
Site assessment, POC sensor plan to demonstrate max ROI$2,995
two weeks part-time coaching
up to 50 sensors.
Sensor cost not included.
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
Funding is available for qualified Monitron POCs.
Pro Pack
We coach you to a winning POC with deployment SOW$9,995
three months part-time coaching
up to 50 sensors.
Sensor cost not included.
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
Funding is available for qualified Amazon Monitron POCs.
Experienced Leadership
We're skilled mechanical engineers who have been working with AI-based predictive maintenance systems since 2016. With over 25 successful PoCs, pilots, and deployments, and more than 70K installed wireless vibration sensors, we help you take operation's performance to the next level.
Andrew Lewis
Lead AI Consultant
Andrew founded DecisionIQ in 2016 and has since led the company to numerous successful predictive maintenance projects. With extensive experience in multiple predictive platforms, he utilizes AI and human inference to create solutions that enable efficient and high-quality decision making, leading to big wins on virtually all projects. Andrew's prior technology experience includes experimental fighter aircraft development at F-16 Skunkworks, co-development of high-performance computer platforms with Apple, and AI systems with 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
Maintenance AI Consultant
Matt is a mechanical engineer and digital transformation manager with 15+ years of experience across 65+ enterprise sites in heavy manufacturing, oil & gas, petrochemical, pulp, paper, and wood products. He has hands-on experience scaling and operationalizing over 70K sensors at major enterprises, including Georgia Pacific and Lyondell Basell. Matt's change management skills have proven effective in achieving worker adoption of new AI-based workflows.
Matt graduated with a BS in Mechanical Engineering from Georgia Tech and is a Certified Maintenance & Reliability Professional (CMRP). He is now working on his PhD in Industrial Engineering at University of Tennessee, Knoxville, with a focus on building AI-based process for manufacturing. LinkedIn...
Get IQ for Predictive Maintenance
A blog full of real world experience guiding our clients on their journey to success with Industry 4.0 projects. This experience is the foundation of our mentoring program for maintenance leadership and technicians.
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