CortiSense

Fully Automated Predictive Maintenance Solution

Industrial Technologies
Non Active, Aug 2024 ceased to operate
Pre-Funding Giv'atayim, Israel Founded 2020
Last updated 2026-06-18
Total raised
Stage
Pre-Funding
Founded
2020
Headcount
2
HQ
Giv'atayim, Israel
Sector
Industrial Technologies

About

CortiSense develops and manufactures a simple and precise turnkey solution for predictive maintenance. The CortiSense system consists of a smart, fully automated sensor that leverages a unique machine learning algorithm to detect and predict mechanical and electrical failures.

Q&A

What is the current status of CortiSense?
CortiSense is currently inactive and ceased to operate in August 2024.
What is CortiSense's primary focus?
CortiSense develops a fully automated predictive maintenance solution that uses smart sensors and machine learning algorithms to detect and predict mechanical and electrical failures.
When was CortiSense founded?
CortiSense was founded in January 2020.
Where is CortiSense headquartered?
CortiSense is headquartered in Giv'atayim, Center District, Israel.
How many employees does CortiSense have?
CortiSense has 1-10 employees.
Who are the co-founders of CortiSense?
The co-founders of CortiSense are Dudi Feiner (Co-founder & CEO), Jacob Greenberg (Co-founder & CTO), and Rony Merkado (Co-founder & VP R&D).
What technologies does CortiSense utilize?
CortiSense utilizes Artificial Intelligence, Machine Learning, Sensing, Platforms & Interfaces, and Software.
What is CortiSense's primary target customer segment?
CortiSense primarily targets customers in Industrial Manufacturing.

Team · 3

Founder · Co-founder & CEO
LinkedIn ↗
Founder · Co-founder & CTO
Founder · Co-founder & VP R&D

Sectors & technology

Primary sector
Industrial Technologies
Sub-sectors
Industrial TechnologiesOperational Optimization Solutions
Technologies
Artificial IntelligenceMachine LearningSensingPlatforms & InterfacesSoftware
Target customers
Industrial Manufacturing
Business model
B2B

Highlights

Verified

Tags

industry-4-0predictive-maintenancemanufacturingiotmachine-learning
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