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Qsee logo — WE EMPOWER PROCESS MANUFACTURERS TO SAVE $ MILLIONS ON ANNUA...

Qsee

WE EMPOWER PROCESS MANUFACTURERS TO SAVE $ MILLIONS ON ANNUAL OPERATING COSTS

Founded 2018 Israel Israel 7 employees Pre-Seed Total: $320.00K AI, Analytics +3

General Information

Company Name Qsee
Founded Year 2018
Location Israel Israel
Employees 7
Industries AI, Analytics, IoT +2
Funding Stage Pre-Seed
Social

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About Qsee

Qsee is an Israeli manufacturing startup founded in 2018, with a mission to revolutionize the process manufacturing quality control space. The company's slogan "WE EMPOWER PROCESS MANUFACTURERS TO SAVE $ MILLIONS ON ANNUAL OPERATING COSTS" encapsulates its core objective. Utilizing cutting-edge AI technologies, particularly ML/AI-powered Quality predictive analytics, Qsee aims to optimize productivity and minimize excess expenses for process manufacturers, including waste, rework, recalls, energy, and pollution. Qsee's disruptive approach involves leveraging machine learning software to build unique AI models for each production machine/line. These models correlate data with quality outcomes, enabling the software to predict real-time product quality outcomes before they occur. The company's flagship solution, Zer0-Defect® production runs, is designed to prevent defective products early in the manufacturing process, thereby generating substantial financial benefits for manufacturers. In a recent development, Qsee secured a €200.00K Pre Seed Round investment on 05 December 2022, with Forward Factory joining as the investor. This investment reflects the confidence of Forward Factory in Qsee's disruptive technology and its potential to redefine quality control in the manufacturing industry. Overall, Qsee's innovative approach to quality control in process manufacturing, backed by recent investment, positions the company as a leading player in the quest to drive efficiency and cost savings for manufacturers.

Business keywords: AI technologies, predictive analytics, process manufacturing, production optimization, Israeli start-up, manufacturing efficiency, cost reduction, defect prevention, data correlation, real-time prediction, prescriptive analytics, waste reduction, productivity enhancement

Funding Rounds & Investors (2)

View All
Funding Stage Amount Investors Lead Investors Date
Pre Seed Round €200.00K 1
Forward Factory
Forward Factory
05 Dec 2022
Pre Seed Round $120.00K 1
Techstars
Techstars
02 Mar 2020

Qsee Alternatives & Competitors

View All Alternatives
Qsee vs
CPNET.AI
CPNET.AI United States

Agentic AI for manufacturers: unlock yield, uptime & quality without replacing your machines.

Pre-Seed
13 employees
AI, Analytics
Qsee vs
synsor.ai
synsor.ai Germany

We are bringing deep learning vision systems into the manufacturing industry

Seed
2 employees
AI, Manufacturing
Qsee vs
DataProphet
DataProphet South Africa

Visualize. Control. Optimize. 𝗩𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲. ⬇

Series A
38 employees
AI, Information Technology
View all alternatives

FAQ About Qsee

WE EMPOWER PROCESS MANUFACTURERS TO SAVE $ MILLIONS ON ANNUAL OPERATING COSTS
Qsee was founded in 2018.
Qsee is headquartered in Israel.
Qsee operates in AI, Analytics, IoT, Manufacturing and Machine Learning. Its work centres on AI technologies, predictive analytics, process manufacturing and production optimization.
Qsee has approximately 7 employees.
Qsee has completed 2 funding rounds, raising a total of $320.00K. The latest funding stage is Pre-Seed.
Top alternatives and competitors to Qsee include CPNET.AI, synsor.ai, DataProphet, Cognitiwe, Mingo Smart Factory (acquired by Nulogy). These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Qsee and CPNET.AI are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Qsee, https://bouncewatch.com/company/qsee, updated 10 October 2024. When citing, please name BounceWatch and link this page.

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