HOW WE CAN HELP
CPNET uses the digital power of AI to help factories unlock untapped physical capacity of their production lines, at a fraction of replacement cost
Our AI agents deliver human-friendly recommendations for changing the process settings to the operators, resulting in higher performance of the production lines
CPNet uses AI to augment
intelligence of the production
personnel and factory management, supporting faster and better operations decisions in real-time
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
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
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
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]
Integrate production, quality and maintenance data to setup an optimization model balancing output quality and maintenance costs
Use the model to monitor quality levels from scanners and inspection stations, issuing near real-time alerts to trigger preventative tool maintenance
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
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.
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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
Bicheng is an experienced R&D manager with passion for bringing innovations in manufacturing space.
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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.
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Bicheng received his PhD degree in Computational Mechanics at University of Buffalo and obtained an MBA from Wharton (U. of Pennsylvania).
RAJIV
PATNAM
CRO & CO-FOUNDER
Rajiv (Raj) is a seasoned technology executive and entrepreneur with a strong background in founding and scaling startups. He spent 17 years at ScienceLogic, where he played a pivotal role in its growth into a global leader in IT and AI-driven operations management.
Prior to this, Raj co-founded DCmenus.com, one of the first online menu platforms, leading its development to a successful exit in 2006.
Raj holds a degree in Computer Science from The George Washington University and specializes in software strategy, team building, and driving business transformation through technology.
SRIKIRAN
CHANDRASEKARAN
LEAD DATA SCIENTIST
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 KEFALOS
SALES & MARKETING
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.
ROB SHADDOCK
TECHNOLOGY
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.
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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.
OUR INVESTORS AND PARTNERS
GET IN TOUCH
Contact us and find out how our services can benefit your company.