Pzartech

Digital Solutions for Industrial Maintenance

Industrial Technologies
Active
Mature Tel Aviv-Yafo, Israel Founded 2015
Last updated 2026-06-18
Total raised
$212K
Last: 2020-01
Stage
Mature
Founded
2015
Headcount
3
HQ
Tel Aviv-Yafo, Israel
Sector
Industrial Technologies

About

Pzartech develops solutions for industrial maintenance operators, including visual-recognition technologies that enable users of complex mechanical equipment to quickly identify parts using image processing and deep learning. These technologies enable maintenance operators to receive information regarding the mechanical parts they are working on using cameras from smartphones and tablets.

Funding history · 2 rounds · $212K total

2020-01
2016-11
Grant $100K

Q&A

What is Pzartech's primary focus?
Pzartech develops digital solutions for industrial maintenance, specifically visual-recognition technologies that help operators identify parts using image processing and deep learning.
When was Pzartech founded?
Pzartech was founded in March 2015.
What is Pzartech's total funding to date?
Pzartech has raised a total of $212,171 USD.
When was Pzartech's last funding round?
Pzartech's last funding round occurred in January 2020.
Which investor participated in Pzartech's Grant round?
The European Union participated in Pzartech's Grant funding round in November 2016.
What are the key technologies Pzartech utilizes?
Pzartech utilizes Artificial Intelligence, Deep Learning, and Image Recognition technologies.
Who is the Founder & CEO of Pzartech?
Jeremie Brabet-Adonajlo is the Founder & CEO of Pzartech.

Team · 1

Founder · Founder & CEO
LinkedIn ↗

Sectors & technology

Primary sector
Industrial Technologies
Sub-sectors
Industrial TechnologiesOperational Optimization Solutions
Technologies
Artificial IntelligenceDeep LearningImage Recognition
Target customers
Transportation & LogisticsLogisticsAviationIndustrial ManufacturingDiscrete IndustriesAutomotiveAerospaceIndustrial EquipmentMachinery
Business model
B2GB2B

Highlights

1 PatentsVerified

Tags

aviationoil-and-gas-companiesartificial-intelligenceimage-recognitionmanufacturingindustry-4-0maintenancelogisticsaerospaceimage-processingindustrial-applicationsmanufacturing-facilities
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