Emerj

Employee Mentoring and Professional Development

Non Active, Nov 2020 ceased to operate

Company Overview

Snapshot

Founded in February 2016 by Chedva Kleinhandler and Hannit Cohen, Emerj operated with 1–10 employees. The company raised $800,000 across one funding round from four investors. In July 2019, Emerj secured funding from investors Fiona Darmon.

Business overview

Emerj developed a scalable solution to address employee attrition by providing ongoing skills and development opportunities. Its core offering was a white-label mobile application that confidentially matched employees with relevant mentors using an algorithm. The company also provided organizations with a data-driven dashboard to enable smart decision-making. Emerj operated within the Human Resources Management sector, focusing on enterprise solutions and mobile platforms for human resource and employment services.

Strategic signal

In November 2020, Emerj ceased operations, indicating a significant shift in its business trajectory. This event signals to investors and innovation teams that the company is no longer active in the market, highlighting the inherent risks and challenges within the startup ecosystem, particularly for early-stage ventures focused on employee development solutions.

Company Intelligence Q&A

What is Emerj's primary focus?
Emerj focuses on employee mentoring and professional development, offering a scalable solution to help companies reduce attrition by providing employees with ongoing skill development and opportunities.
When was Emerj founded and by whom?
Emerj was founded in February 2016 by Chedva Kleinhandler and Hannit Cohen.
What was the company's operational status as of late 2020?
Emerj ceased to operate in November 2020, indicating it is no longer an active company.
What was a key funding event for Emerj?
In July 2019, Emerj raised $800,000 in a funding round, with investors including Fiona Darmon.
What technology did Emerj utilize for its services?
Emerj utilized a white-label mobile application that employed an algorithm to confidentially match employees with relevant mentors, complemented by a dashboard for data-driven decision-making.