The 4th Industrial Revolution is projected to leave 50%+ of the existing production assets in use for decades to come

 
 

HOW WE CAN HELP

CPNet unlocks the value of data by bringing Industry 4.0 technology

to legacy production facilities fast and at a fraction of replacement cost

We built a highly customizable
and scalable prescriptive
analytics platform based upon
proprietary deep reinforcement
technology

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CPNet uses AI to augment
intelligence of the production
personnel and factory management, supporting faster and better operations decisions in real-time

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Our integrated end-to-end solution is designed to create a cycle of continuous material improvement to the targeted KPIs and overall profitability

 

WHERE WE CAN HELP

CPNet solution can be quickly customized, deployed, and scale up in a number of core manufacturing verticals, including but not limited to:

  • BASE CHEMICALS

     

    Reduce energy consumption per unit of output by periodically adjusting production regime to keep the assets' performance close to high-water mark

     

  • PLASTIC MOLDING

     

    Increase asset utilization in "high mix low volume" settings by enabling dynamic scheduling responsive to variability in both internal and external factors

  • PLASTIC EXTRUSION

     

    Increase machine uptime and quality of products by identifying and preventing root-causes of incidents leading to a sub-par performance of the assets

 

HERE IS HOW OUR SOLUTION WORKS

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Leverage existing infrastructure and/or install VERTEX devices and add-on sensors

to enable streaming of hundreds

of operational variables from the

PLC interfaces, along with additional

process parameters, in real time

Configure HEXAGON OS to manage processing, enrichment, and combining

of real-time data, to create a digital representation of operational 

environment, visualized in 

Power BI and/or similar tools

Deploy self-adaptive OMEGA

AI Agent to production environment,

to monitor the target parameters and KPIs,

and provide real-time recommendations on
if and when a correction to the production regime may be required

Cloud-based TIME FABRIC

ML Engine consumes processed real-time data, along with historical records from ERP / MES systems and other auxiliary sources, 

to synthesize and train an AI agent using OMEGA Analytics suit

 

PROBLEMS WE SOLVE

Depending on the industry and use case specifics, the solution can help to bring tangible improvements in months to one or more of the following critical performance metrics:

[mouse over each of them to learn more]

Irrespective of the use case, customers may expect seeing the following benefits

from the implemented CPNet solution:

 

ABOUT US

CPNet is an Industrial IoT and AI company founded to bring Industry 4.0 technology to mid-market producers across several traditional manufacturing verticals, helping them to improve productivity of their legacy equipment at a fraction of replacement cost.

Our mission is to create and deliver tangible, measurable, and sustainable economic benefits to our customers – a core principle that we profess by staying laser-focused on optimizing those production metrics that directly contribute to the customers’ bottom line.

OUR TEAM

BICHENG

CHEN

CEO/CTO & CO-FOUNDER

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IGOR

OLSHEVSKIY

COO & CO-FOUNDER

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SRIKIRAN

CHANDRASEKARAN

LEAD DATA SCIENTIST

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[for a short bio.please mouse over each the box]

OUR ADVISORS

DRU KEFALOS

SALES & MARKETING

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ROB SHADDOCK

TECHNOLOGY

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GET IN TOUCH

Contact us and find out how our services can benefit your company.

CPNET LLC.  |    Harrisburg, PA   |   hello@cpnet.io

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