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    GET PREDICTIVE MAINTENANCE THAT REALLY WORKS

    We make it super fast, easy, and very low cost

    • Get cost saving proactive repairs

    A fast path to live asset monitoring

    • Payback in less than one-year

  • 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.

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    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 ---

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    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 ---

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    INTEGRATE YOUR OT 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 ---

  • YOUR BEST FIRST STEP TO INDUSTRY 4.0 TRANSFORMATION

    Create a proactive predictive maintenance program.

    AVOID UNPLANNED DOWNTIME

    Advanced Notifications of Asset Failure

    Detect asset issues before they occur and have time to take proactive action with scheduled repairs during planned downtime.

    REALIZE COST SAVINGS

    Savings from a Proactive Process

    Enable more efficient and targeted maintenance activities. Optimize labor, spares and reduce operational costs in a proactive repair process.

    IMPROVE ASSET PERFORMANCE

    Plan and Scale

    Maximize asset uptime and improve asset reliability by automatically detecting abnormal machine conditions as early as possible.

    SCALE TECHNICAL TALENT

    Close the Skills Gap

    With earlier notifications of failure and less time spent walking arounf looking for problems, technicians can support more assets than before.

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     We help you with everything

     Training, practical know-how

     On-site sensor installation

     

     

     

     

     

  • 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.

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  • 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.

     

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    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

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    "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

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    "DecisionIQ helped us reach the next level in our adoption of AI for Predictive Maintenance."

    Titus Davis - Director of Digital Transformation at

    Georgia Pacific

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    "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 KPIs

    Since 2017, we have advised organizations on implementing AI systems in industrial workflows. This includes identifying areas for improvement, selecting appropriate technologies, integrating solutions, and providing user training for successful adoption.

    $22M Annual Saving

    Unplanned downtime savings in manufacturing and field maintenance

    60x ROI

    Demonstrated in an Amazon Monitron pilot for a major healthcare company

    24 POCs

    Proof of Concept (POC) for Enterprise

    100% Success Rate

    POCs and pilots recommended for deployment

    7 Years Experience

    AI and cloud industrial-level proficiencies with practical, hands-on experience.

    70K Sensors Installed

    Wireless vibration and temperature sensors installed on industrial assets

  • OUR HISTORY WITH AI...

    Over $22M in Maintenance Savings Idenitified

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    Asset health in life sciences

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    Asset health in wood products monitoring multiple sites

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    Drink machines with asset health detection

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    Cable digital network predictive failure prediction

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    AI /NLP integration into maintenance for miltary aircraft

  • TAKE YOUR MAINTENANCE TO THE NEXT LEVEL

    Book a free starter call for informal Q&A

  • AFFORDABLE COACHING TO GET MAX ROI

    Predictive Maintenance POCs For Legacy Assets

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    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

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    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.

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    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.

  • MORE INDUSTRY 4.0 SOLUTIONS

    Take Your Maintenance Program to the Next Level

    AWS INDUSTRIAL IoT

    Migration & App Solutions

    Powerful industrial IoT solutions. Funding assistance for qualified accounts.

    MONITRON POC/PILOT

    Funded by AWS

    Amazon Monitron is a very low cost end-to-end predictive maintenance platform that includes sensors. Funding assistance for qualified accounts.

    DEPLOYMENTS

    Plan and Scale

    The transition from POC is operational deployment presents workflow and training challenges to capture ROI.

    MIGRATIONS TO CLOUD

    Funded by AWS 

    Move your OT data to the cloud, unify data from multiple departments and operating sites.

    TRAINING

    Training & Sensor Installation

    We can come on-site to perform training and physical installation of sensors on equipment and the gateways they connect to.

    STRATEGY

    Pathways to Competitive Advantage

    We build a business plan for execution that will transform your legacy operations into a tool for competitive advantage.

  • 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 your operational performance to the next level.

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    Andrew Lewis

    CEO/AI Deployment Engineer

    Andrew founded DecisionIQ in 2015 and has since led the Company to numerous successful predictive maintenance POCs and deployments. With extensive experience in multiple predictive maintenance 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 fighter aircraft development at the General Dynamics F-16 Skunkworks, co-development of high-performance computer platforms with Apple, and integration of 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...

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    Jon Stroup

    Business Development Engineer

    Jon held executive roles over the past 14 years at Advocate, an IT consulting and managed services firm, that empowered over 600 global enterprises to optimize their technology infrastructure and realize cumulative savings of $20 billion. Jon served as Regional VP Sales and VP of Strategic Partners where he was instrumental in building a partner ecosystem that supported Advocate’s mission to provide best-in-class IT Financial Management and Cost Optimization solutions that delivered excellent value to clients. Accenture acquired Advocate in 2022. In prior positions, Jon was involved with industrial, laboratory testing, and telecommunications equipment.

     

    Jon graduated with a BS in Mechanical Engineering from Princeton University and an MS in Engineering from the Massachusetts Institute of Technology. LinkedIn...

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    Matt Alberts

    Industrial AI Engineer

    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. 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.

  • MAX ROI

    Blog Posts on Maximizing Factory ROI with AI

    There are no published blog posts yet.
  • Contact Us

    Let's work together!

  • "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 confidently at scale."

    A.K. Karan, Global Senior Director, Digital Transformation

    Baxter Healthcare

  • "DecisionIQ helped us reach the next level in our adoption of AI for Predictive Maintenance."

    Titus Davis, Director of Digital Transformation

    Georgia Pacific

  • "You're the only analytics company able to diagnose and predict these network failures. Well done!"

    Ted Boone, AVP, Network Systems Engineering, Cox Communications