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Qsee

Israel
2017
Private
< $10m
< 10

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.

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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.

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Process Manufacturering Companies

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Hardware
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Software
Software that ingests data and visualises it to generate insights to answer specific questions
Software that can take over complex human operations and operate independently of human intervention.
Platforms that facilitate and allow application developments for specific use cases and/or client requirements.
Services
Bringing together software, hardware, middleware, and infrastructure components to build an end-to-end solution based on specific client requirements.
Developing custom hardware for specific uses and operating environments/needs.
Developing custom software for specific uses and operating environments/needs.
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 Suppliers8
Ascalia
Ascalia
Ascalia is a UK and Croatia based company that provides software and hardware solutions aimed at reducing resource and energy consumption in cities and industry.We developed our hardware and software in a way that it can be easily customizable to conform with our client's goals. Our goal is to accelerate IoT development and empower our clients to easily install and benefit from the IoT based solutions.Ascalia provides a cost-effective package of integrated software and hardware that guarantees our clients a secure and timely achievement of their business objectives as well as significant cost savings.
Thinger.io
Thinger.io
Thinger.io is a cloud infrastructure created to streamline the development of IoT products, that provides every needed tool to connect devices, store and show information in customizable dashboards, manage and control devices functionalities in real-time.
Litum
Litum
Litum delivers Real-Time Location Tracking Systems (RTLS) optimized for challenging industrial and healthcare environments. Litum designs and manufactures its entire solution portfolio, including sensors and hardware, firmware and software. Litum IoT solutions are used by Fortune 500 companies around the world, including FCA, Schneider Electric, Whirlpool, BOSCH.
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