Overview | ||||||
Supplier Slogan | ||||||
HQ Location | United States | United States | United States | Slovakia | Japan | Other |
Year Founded | 2015 | 1981 | 2012 | 2013 | 2016 | 2014 |
Company Type | Private | Public | Private | Private | Private | Private |
Stock Ticker | NASDAQ:CGNX | |||||
Revenue | < $10m | $10-100m | < $10m | < $10m | < $10m | < $10m |
Employees | < 10 | 1,001 - 10,000 | 51 - 200 | 51 - 200 | 11 - 50 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software.
Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision. | Cognex Corporation is the world leading provider of vision systems, vision software, vision sensors and surface inspection systems used in manufacturing automation. Cognex is also a leader in industrial ID readers.
Cognex vision helps companies improve product quality, eliminate production errors, lower manufacturing costs, and exceed consumer expectations for high quality products at an affordable price. | TigerGraph is a provider of a graph database platform for enterprise applications. It fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph???s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum. The company supports applications such as IoT, AI, and Machine Learning to make sense of ever-changing big data. It also provides personalized recommendations, fraud prevention, supply-chain logistics, company knowledge graph, and other features. Founded by Yu Xu, Ph.D. in 2012, TigerGraph is funded by Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem, Danhua Capital, and DCVC. TigerGraph is based in Redwood City, CA. | Photoneo is a leading provider of robotic vision and intelligence. Based on a patented 3D technology, Photoneo has developed the world's highest resolution and highest accuracy 3D camera, thus unlocking the full potential of powerful, reliable and fast Machine Learning and also reducing the training and deployment time. By bringing intelligent robots into the field, Photoneo helps companies mainly in the automotive, logistics, e-commerce, food and medical industry to improve the performance and efficiency of their manufacturing, fulfillment and assembly process. | Global Walkers makes full use of deep learning and image processing to provide various AI solutions. | InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. |
IoT Solutions | Deep Vision has an ultra low power processor that is built from the ground up to run Deep Learning and other computer vision algorithms. Offering 100% programability, our processor can support all computer vision CNNs. We’ve built a full stack of complementary software that enable low power and real time processing.
Innovative Architecture
*High performance, scalable processor architecture that is completely programmable
*60x better performance vs. competitors.
Deep Learning Support
*Built specifically to support Deep Learning, CNNs and traditional computer vision algorithms.
*Software for easy software design and implementation.
Low Power Design
*Hardware and software combine to provide unprecedented power savings without performance loss.
*Ideal for both embedded power and larger scalable solutions. | Cognex machine vision and barcode reading tools enable companies around the world to improve assembly verification, eliminate defects, automate production and identify challenging barcodes reliably across a wide range of industries and applications. | TigerGraphDb
TigerGraph is delivering the next stage in the evolution of the graph database: the first system capable of real-time analytics on web-scale data. Our Native Parallel Graph? (NPG) design focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. Our SQL-like graph query language (GSQL) provides for ad-hoc exploration and interactive analysis of Big Data. With GSQL’s expressive capabilities and NPG speed, you’ll be able to perform Deep Link Analytics: uncovering connections that previously were too impractical to reach or too cumbersome to express.
TigerGraph Cloud
Built for agile teams who’d rather be building innovative applications to deliver new insights than managing databases. Start in minutes, Build in Hours and Deploy in Days with a TigerGraph Cloud graph database as a service.
TigerGraph GraphStudio?
TigerGraph GraphStudio? is our simple yet powerful graphical user interface. GraphStudio integrates all the phases of graph data analytics into one easy-to-use graphical user interface. GraphStudio is great for ad-hoc, interactive analytics and for learning to use the TigerGraph platform. | Machine learning (AI) and image processing technology (computer vision). | ||
Key Customers | Carsem, Procter & Gamble, Royal Canadian Mint | State Grid, Amgen, County Of Santa Clara, OpenCorporate, Pagantis | ||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & Modeling | Analytics & ModelingSensors | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingSensorsApplication Infrastructure & MiddlewareRobots | Analytics & Modeling | Analytics & Modeling |
Industries | AgricultureAutomotiveConsumer GoodsElectronicsFood & BeverageLife SciencesPharmaceuticalsRenewable Energy | Packaging | ||||
Use Cases | Computer Vision | Visual Quality DetectionComputer Vision | Picking, Sorting & PositioningWarehouse Automation | Predictive MaintenanceVehicle TelematicsVisual Quality Detection | ||
Functions | Discrete ManufacturingLogistics & TransportationQuality Assurance | Discrete ManufacturingLogistics & TransportationMaintenanceSales & MarketingWarehouse & Inventory Management | ||||
Services | Hardware Design & Engineering ServicesSoftware Design & Engineering ServicesSystem Integration | Data Science ServicesSoftware Design & Engineering Services | Data Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Moderate | None | None | None |
Platform as a Service (PaaS) | None | None | None | None | None | None |
Application Infrastructure & Middleware | None | None | None | Minor | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | None | None |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | None | None | None | None |
Processors & Edge Intelligence | None | None | None | None | None | None |
Sensors | None | Moderate | None | Minor | None | None |
Automation & Control | None | None | None | None | None | None |
Robots | None | None | None | Moderate | None | None |
Drones | None | None | None | None | None | None |
Wearables | None | None | None | None | None | None |
Actuators | None | None | None | None | None | None |
Other | None | None | None | None | None | None |
Similar Suppliers | ||||||
Similar Suppliers | ||||||
Partners | ||||||
Partners |
Overview | ||||||
Supplier Slogan | ||||||
HQ Location | United States | United States | United States | Slovakia | Japan | Other |
Year Founded | 2015 | 1981 | 2012 | 2013 | 2016 | 2014 |
Company Type | Private | Public | Private | Private | Private | Private |
Stock Ticker | NASDAQ:CGNX | |||||
Revenue | < $10m | $10-100m | < $10m | < $10m | < $10m | < $10m |
Employees | < 10 | 1,001 - 10,000 | 51 - 200 | 51 - 200 | 11 - 50 | 51 - 200 |
Website | Open website | Open website | Open website | Open website | Open website | Open website |
Company Description | Pioneered in large data centers, Deep Learning-powered computer vision is now being deployed across a variety of embedded platforms such as drones, robots, IoT smart cameras and cars. These devices require computer vision capabilities that run at the edge, in real-time and enable long battery life. Deep Vision is meeting these needs with a completely new approach to processors and software.
Our unique vision-specific processor is faster and more power efficient than GPU and DSP processing for modern computer vision problems. Coupled with a full stack of low power and real time deep learning computer vision software, our system gives small devices like drones, robots, and IOT cameras the ability to have embedded computer vision. | Cognex Corporation is the world leading provider of vision systems, vision software, vision sensors and surface inspection systems used in manufacturing automation. Cognex is also a leader in industrial ID readers.
Cognex vision helps companies improve product quality, eliminate production errors, lower manufacturing costs, and exceed consumer expectations for high quality products at an affordable price. | TigerGraph is a provider of a graph database platform for enterprise applications. It fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. TigerGraph???s proven technology is used by customers including Alipay, VISA, SoftBank, State Grid Corporation of China, Wish and Elementum. The company supports applications such as IoT, AI, and Machine Learning to make sense of ever-changing big data. It also provides personalized recommendations, fraud prevention, supply-chain logistics, company knowledge graph, and other features. Founded by Yu Xu, Ph.D. in 2012, TigerGraph is funded by Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem, Danhua Capital, and DCVC. TigerGraph is based in Redwood City, CA. | Photoneo is a leading provider of robotic vision and intelligence. Based on a patented 3D technology, Photoneo has developed the world's highest resolution and highest accuracy 3D camera, thus unlocking the full potential of powerful, reliable and fast Machine Learning and also reducing the training and deployment time. By bringing intelligent robots into the field, Photoneo helps companies mainly in the automotive, logistics, e-commerce, food and medical industry to improve the performance and efficiency of their manufacturing, fulfillment and assembly process. | Global Walkers makes full use of deep learning and image processing to provide various AI solutions. | InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. |
IoT Solutions | Deep Vision has an ultra low power processor that is built from the ground up to run Deep Learning and other computer vision algorithms. Offering 100% programability, our processor can support all computer vision CNNs. We’ve built a full stack of complementary software that enable low power and real time processing.
Innovative Architecture
*High performance, scalable processor architecture that is completely programmable
*60x better performance vs. competitors.
Deep Learning Support
*Built specifically to support Deep Learning, CNNs and traditional computer vision algorithms.
*Software for easy software design and implementation.
Low Power Design
*Hardware and software combine to provide unprecedented power savings without performance loss.
*Ideal for both embedded power and larger scalable solutions. | Cognex machine vision and barcode reading tools enable companies around the world to improve assembly verification, eliminate defects, automate production and identify challenging barcodes reliably across a wide range of industries and applications. | TigerGraphDb
TigerGraph is delivering the next stage in the evolution of the graph database: the first system capable of real-time analytics on web-scale data. Our Native Parallel Graph? (NPG) design focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. Our SQL-like graph query language (GSQL) provides for ad-hoc exploration and interactive analysis of Big Data. With GSQL’s expressive capabilities and NPG speed, you’ll be able to perform Deep Link Analytics: uncovering connections that previously were too impractical to reach or too cumbersome to express.
TigerGraph Cloud
Built for agile teams who’d rather be building innovative applications to deliver new insights than managing databases. Start in minutes, Build in Hours and Deploy in Days with a TigerGraph Cloud graph database as a service.
TigerGraph GraphStudio?
TigerGraph GraphStudio? is our simple yet powerful graphical user interface. GraphStudio integrates all the phases of graph data analytics into one easy-to-use graphical user interface. GraphStudio is great for ad-hoc, interactive analytics and for learning to use the TigerGraph platform. | Machine learning (AI) and image processing technology (computer vision). | ||
Key Customers | Carsem, Procter & Gamble, Royal Canadian Mint | State Grid, Amgen, County Of Santa Clara, OpenCorporate, Pagantis | ||||
Subsidiary | ||||||
Parent Company | ||||||
IoT Snapshot | ||||||
Technologies | Analytics & Modeling | Analytics & ModelingSensors | Analytics & ModelingInfrastructure as a Service (IaaS) | Analytics & ModelingSensorsApplication Infrastructure & MiddlewareRobots | Analytics & Modeling | Analytics & Modeling |
Industries | AgricultureAutomotiveConsumer GoodsElectronicsFood & BeverageLife SciencesPharmaceuticalsRenewable Energy | Packaging | ||||
Use Cases | Computer Vision | Visual Quality DetectionComputer Vision | Picking, Sorting & PositioningWarehouse Automation | Predictive MaintenanceVehicle TelematicsVisual Quality Detection | ||
Functions | Discrete ManufacturingLogistics & TransportationQuality Assurance | Discrete ManufacturingLogistics & TransportationMaintenanceSales & MarketingWarehouse & Inventory Management | ||||
Services | Hardware Design & Engineering ServicesSoftware Design & Engineering ServicesSystem Integration | Data Science ServicesSoftware Design & Engineering Services | Data Science Services | |||
Technology Stack | ||||||
Infrastructure as a Service (IaaS) | None | None | Moderate | None | None | None |
Platform as a Service (PaaS) | None | None | None | None | None | None |
Application Infrastructure & Middleware | None | None | None | Minor | None | None |
Analytics & Modeling | Moderate | Moderate | Moderate | Moderate | Moderate | Moderate |
Functional Applications | None | None | None | None | None | None |
Cybersecurity & Privacy | None | None | None | None | None | None |
Networks & Connectivity | None | None | None | None | None | None |
Processors & Edge Intelligence | None | None | None | None | None | None |
Sensors | None | Moderate | None | Minor | None | None |
Automation & Control | None | None | None | None | None | None |
Robots | None | None | None | Moderate | None | None |
Drones | None | None | None | None | None | None |
Wearables | None | None | None | None | None | None |
Actuators | None | None | None | None | None | None |
Other | None | None | None | None | None | None |
Similar Suppliers | ||||||
Similar Suppliers | ||||||
Partners | ||||||
Partners |