ZenCity

Smart-City Data Management Platform

Data, Data Platform, Smart City
Computer Vision Deep Learning Machine Learning
Founder alumni from military unit 8200

Business Overview

ZenCity is the developer of the ZenCity Platform, a suite of services and solutions designed to enable cities to manage multiple data flows, including municipal collected data, sensor data, and citizen data, and to provide strategic value to municipalities in order to power smart-city applications and decision-making processes. As a precursor to the ZenCity Platform, the company developed Alternative, an app for inner-city navigation that helps users make conscious choices between transportation methods based on protecting the environment, burning calories, arriving quickly, or saving money. The anonymous data collected can later be harvested by the city to provide insights for future transportation planning. ZenCity’s goal is to empower cities to make the transition into the age of information, becoming more data-driven, efficient, and smarter.

Operating Status
Active
Founded
June 2015
Employees
84
Business model
B2G
Offering type
Software
Funding stage
Series B
Business stage
Launched
Total funding
$22.2 Million
Sectors
Data, Data Platform, Smart City

Founders

ZenCity
Eyal Feder-Levy
CEO
ZenCity
Ido Ivry
CTO

Board Members and Advisors

ZenCity
Eitan Bek
Board Member
ZenCity
Abhi Nemani
Advisor
ZenCity
Ehud Levy
Board Member
ZenCity
Emanuel Timor
Board Member

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
2.9x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

September 2018
Series A
$6 M
May 2018
Grant
$1 M

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

March 2021
Acquisition
Elucd
Zencity

AI Technology Stack

AI Description

We’re classifying text, images to recognize topics, and also perform sentiement analysis in our bespoke, use case specific, classifiers, and perform anomaly detection as well as clustering of emerging trends.

AI employees
3
AI application
Vertical AI
AI types
Computer Vision, Deep Learning, Machine Learning, Natural Language Processing
ML types
Supervised Learning, Unsupervised Learning
AI algorithms
Clustering, Naive Bayes Classifiers, Neural Networks, Rule-Based, Support Vector Machines (SVM)
Coding
Python

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