Suppliers Israel Qsee

	Qsee
HQ Location	Israel
Year Founded	2017
Company Type	Private
Revenue	< $10m
Employees	< 10
Website	Open website

Qsee

HQ Location

Israel

Year Founded

2017

Company Type

Private

Revenue

< $10m

Employees

< 10

Website

Open website

Company Description	QSee – Automating Quality Predictive Analytics and help process manufacturer to predict and prevent defective products early in the process. Qsee 4.0 Quality Control delivers predictive insights for better quality and less downtime. An Israeli start-up developing cutting edge AI technologies that utilize state-of-the-art, proprietary, quality predictive/prescriptive analytics approach for the process of manufacturing quality-control space. Read More
IoT Solutions	Machine learning software builds an AI model for each production machine/line by correlating Machine Data with quality outcomes (pass/fail or multiple-failure-states). The AI engine generates an exhaustive range of hypotheses based on every machine variable (and combinations thereof) and tests these hypotheses in order to determine which factors are causative/predictive of quality failure. Once the model is running, the software predicts in real time the product quality outcome (percentage likelihood of correct quality) for every production product/batch ahead of time. Read More Log in to view content
Key Customers	Process Manufacturering Companies Read More Log in to view content
Supporting Files	Qsee Whitepaper Sample 10.pdf Log in to view content
Contents

Company Description

QSee – Automating Quality Predictive Analytics and help process manufacturer to predict and prevent defective products early in the process. Qsee 4.0 Quality Control delivers predictive insights for better quality and less downtime. An Israeli start-up developing cutting edge AI technologies that utilize state-of-the-art, proprietary, quality predictive/prescriptive analytics approach for the process of manufacturing quality-control space.

IoT Solutions

Machine learning software builds an AI model for each production machine/line by correlating Machine Data with quality outcomes (pass/fail or multiple-failure-states). The AI engine generates an exhaustive range of hypotheses based on every machine variable (and combinations thereof) and tests these hypotheses in order to determine which factors are causative/predictive of quality failure. Once the model is running, the software predicts in real time the product quality outcome (percentage likelihood of correct quality) for every production product/batch ahead of time.

Key Customers

Process Manufacturering Companies

Supporting Files

Qsee Whitepaper Sample 10.pdf

Qsee is a provider of Industrial IoT analytics and modeling technologies.

Technologies

Analytics & Modeling

Predictive Analytics

Use Cases

Root Cause Analysis & Diagnosis

Qsee’s Technology Stack maps Qsee’s participation in the analytics and modeling IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Case Studies1

Process Predictive Analysis in Pulp and Paper Mill

Common paper breaks consequently lead up to 60 minutes of downtime, delaying a potential $10K per hour of production value process. Thus, defective products cause financial and damage company's reputation. Improving quality and reducing defect rates can generate millions of dollars of revenue per year for your company.

Number of Similar Suppliers5

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	Noodle Analytics Noodle.ai offers pioneering business solutions in Enterprise Artificial Intelligence, a unique collaboration among business executives, process experts, and Artificial Intelligence technologies (e.g., Machine Learning, predictive data analytics, data science). The company creates and implements these solutions to solve complex business challenges and drive dramatic improvements in customer, product, and enterprise operations.
	RS Monition Condition-based monitoring for the process industry.
	UptimeAI UptimeAI is an Artificial Intelligence company that offers the world's first virtual AI assistant for plant operations. UptimeAI's "AI Expert" uniquely combines Artificial Intelligence with subject matter knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, identify problems, and give prescriptive diagnosis at scale. AI Expert continuously learns while providing prescriptive actions to achieve high availability, improve efficiency, and eliminate unplanned downtime. The company's customers include several in the Fortune 100.

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Overview

Qsee

IoT Snapshot

Technology Stack

Case Studies

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