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:

 

HERE IS HOW OUR SOLUTION WORKS

[click on component title to learn more]

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

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VERTEX

EDGE

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

 

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:

Identify feasible regimes optimizing per unit energy consumption under the given production constraints and environmental conditions

Continuously monitor critical parameters to ensure that the process stays close to the recommended trajectory

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Understand root-cause for slowdowns based on product mix, raw material inputs, and other relevant  operational conditions

Steadily increase process rate by leveraging  real-time machine sensors information and prescriptive maintenance algorithms

[mouse over each of them to learn more]

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Integrate demand information and other enterprise data with machine operational parameters to develop an optimal production sequencing

Increase throughput and utilization across the entire manufacturing process rather than focusing on single asset or isolated pools of assets

Contextualize output parameters with other real-time and/or quasi-static manufacturing data to gain insights into yield and quality drivers

Introduce additional upstream monitoring points beyond traditional process control metrics to affect the drivers in a precise and timely manner

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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

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BICHENG

CHEN

CEO/CTO & CO-FOUNDER

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Bicheng is an experienced R&D manager with passion for bringing innovations in manufacturing space.

During his career at TE Connectivity, he had developed a strong expertise in robotics and machine vision system design, simulation, new product introduction, and software system architecture.

Bicheng received his PhD degree in Computational Mechanics at University of Buffalo and obtained an MBA from Wharton (U. of Pennsylvania).

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IGOR

OLSHEVSKIY

COO & CO-FOUNDER

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Igor is a senior management and operations consultant with 15+ years of experience creating value for Fortune 500 companies.

During his career at PwC, he had worked in three countries delivering innovative solutions in such areas as MIS and business analytics, process improvement, regulatory controls, and capacity management

Igor graduated Columbia University with MS in Operations Research and further obtained an MBA from Wharton (U. of Pennsylvania).

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SRIKIRAN

CHANDRASEKARAN

LEAD DATA SCIENTIST

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Srikiran is a data science enthusiast who enjoys pulling stories and insights from a variety of data domains, ranging from the climate trends to user-generated clicks.

 

Prior to joining CPNET, he had been a data science fellow at Insight Data Science and a researcher at University of California, Irvine (UCI), where he received his PhD degree in Mathematical, Computatonal, and Systems Biology.

Srikiran also holds a B.S. in Biothnology degree from Indian Institute of Technology at Madras.

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

OUR ADVISORS

Dru is a multi-disciplinary executive with 35 years of experience working for both large and  small organizations. 

 

He had held a number of leadership roles across ExxonMobil, including turnaround of a struggling divested chemical business and a newly formed JV based on novel nanomaterial technology.

 

Today, Dru is a CMO of Universal Matter Inc., a startup developing technology for producing graphene from a broad range of carbon materials.

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DRU KEFALOS

SALES & MARKETING

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Rob Shaddock had been an EVP and CTO at TE Connectivity, where  he wold help set the global engineering vision for the Company and, working closely with business unit and technology leaders to drive all aspects of innovation, development and delivery of advanced connectivity solutions for TE customers worldwide.

Prior to joining TE, Mr. Shaddock held various executive positions at Motorola Mobile Devices, and is currently an advisor to SRI International, a nonprofit, independent research center.

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ROB SHADDOCK

TECHNOLOGY

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OUR INVESTORS AND PARTNERS

 

GET IN TOUCH

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

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