Overview | |
Supplier Slogan | Neewee makes manufacturing more Visible and Transparent, Efficient and Autonomous using our AI Apps |
HQ Location | India |
Year Founded | 2014 |
Company Type | Private |
Stock Ticker | |
Revenue | < $10m |
Employees | 51 - 200 |
Website | Open website |
Company Description | Neewee was founded in 2014 by a group of individuals with a belief that a data-filled world needs a data-first approach. By collecting, connecting and analysing data from every point of the manufacturing process, we enable companies to see the larger context. This helps discover underlying patterns, uncover high-potential opportunities, predict deviations and prescribe solutions; in turn, this intelligence augments day-to-day operations, empowering analysts, managers and shop-floor staff to take crucial business decisions in real time. Neewee views entire manufacturing process as set-of sub-process which interact with each other to produce the final product. It creates a digital twin for each of the sub-process which models the non-liner interaction of product, process, asset and work-station level parameters with the process outcome. Once the twin is deployed on the manufacturing line,our AI Apps starts predicting the outcomes as well as helps identify bottlenecks, hidden failure patterns.Our ready-to-deploy AI apps give manufacturers quicker ROI like yield by 5-8%, Capacity Utilization by 5-7%, working capital by 8-10%, reduce cost by 15-20%, improve quality by 10-12% and production by 3-5% by understanding patterns and deliver insights that can be easily and immediately implemented. All of this is achieved using Machine Learning and AI |
IoT Solutions | |
Key Customers | Discrete Manufacturing Process Manufacturing
|
Subsidiary | |
Parent Company | |
IoT Snapshot | |
Technologies | Analytics & Modeling |
Industries | AutomotiveChemicalsMetalsPharmaceuticals |
Use Cases | Advanced Production Planning and SchedulingPredictive Quality AnalyticsProcess Control & Optimization |
Functions | Discrete ManufacturingProcess Manufacturing |
Services | |
Technology Stack | |
Infrastructure as a Service (IaaS) | None |
Platform as a Service (PaaS) | None |
Application Infrastructure & Middleware | None |
Analytics & Modeling | Minor |
Functional Applications | None |
Cybersecurity & Privacy | None |
Networks & Connectivity | None |
Processors & Edge Intelligence | None |
Sensors | None |
Automation & Control | None |
Robots | None |
Drones | None |
Wearables | None |
Actuators | None |
Other | None |
Similar Suppliers | |
Similar Suppliers | |
Partners | |
Partners | Tech MahindraMicrosoft Azure |
Overview | |
Supplier Slogan | Neewee makes manufacturing more Visible and Transparent, Efficient and Autonomous using our AI Apps |
HQ Location | India |
Year Founded | 2014 |
Company Type | Private |
Stock Ticker | |
Revenue | < $10m |
Employees | 51 - 200 |
Website | Open website |
Company Description | Neewee was founded in 2014 by a group of individuals with a belief that a data-filled world needs a data-first approach. By collecting, connecting and analysing data from every point of the manufacturing process, we enable companies to see the larger context. This helps discover underlying patterns, uncover high-potential opportunities, predict deviations and prescribe solutions; in turn, this intelligence augments day-to-day operations, empowering analysts, managers and shop-floor staff to take crucial business decisions in real time. Neewee views entire manufacturing process as set-of sub-process which interact with each other to produce the final product. It creates a digital twin for each of the sub-process which models the non-liner interaction of product, process, asset and work-station level parameters with the process outcome. Once the twin is deployed on the manufacturing line,our AI Apps starts predicting the outcomes as well as helps identify bottlenecks, hidden failure patterns.Our ready-to-deploy AI apps give manufacturers quicker ROI like yield by 5-8%, Capacity Utilization by 5-7%, working capital by 8-10%, reduce cost by 15-20%, improve quality by 10-12% and production by 3-5% by understanding patterns and deliver insights that can be easily and immediately implemented. All of this is achieved using Machine Learning and AI |
IoT Solutions | |
Key Customers | Discrete Manufacturing Process Manufacturing
|
Subsidiary | |
Parent Company | |
IoT Snapshot | |
Technologies | Analytics & Modeling |
Industries | AutomotiveChemicalsMetalsPharmaceuticals |
Use Cases | Advanced Production Planning and SchedulingPredictive Quality AnalyticsProcess Control & Optimization |
Functions | Discrete ManufacturingProcess Manufacturing |
Services | |
Technology Stack | |
Infrastructure as a Service (IaaS) | None |
Platform as a Service (PaaS) | None |
Application Infrastructure & Middleware | None |
Analytics & Modeling | Minor |
Functional Applications | None |
Cybersecurity & Privacy | None |
Networks & Connectivity | None |
Processors & Edge Intelligence | None |
Sensors | None |
Automation & Control | None |
Robots | None |
Drones | None |
Wearables | None |
Actuators | None |
Other | None |
Similar Suppliers | |
Similar Suppliers | |
Partners | |
Partners | Tech MahindraMicrosoft Azure |