TurnUp

About TurnUp

TurnUp utilizes machine learning algorithms to predict employee turnover with 90% accuracy, identifying potential flight risks among current staff and job applicants. By providing actionable insights, the platform helps organizations reduce hiring costs by 15% and save an average of $2,000 per employee by proactively addressing retention issues.

```xml <problem> High employee turnover rates lead to increased hiring and training costs, decreased productivity, and loss of institutional knowledge. Identifying employees at risk of leaving is challenging, and reactive retention efforts are often ineffective. </problem> <solution> TurnUp is an AI-powered platform that predicts employee turnover by analyzing various data points to identify potential flight risks among current staff and job applicants. The system provides actionable insights, enabling organizations to proactively address retention issues and reduce hiring costs. By understanding the factors driving employee attrition, companies can implement targeted interventions to improve employee satisfaction and reduce turnover. The platform integrates with existing HRIS systems, providing a seamless and efficient way to monitor and manage employee retention. </solution> <features> - Machine learning models that predict employee turnover with high accuracy. - Integration with existing HRIS systems for seamless data import. - Automated alerts and reports to notify managers of potential flight risks. - Customizable filters to segment employees and identify specific trends. - Actionable recommendations on how to retain at-risk employees. - Employee-specific insights to understand individual drivers of attrition. - Tools to track the impact of retention efforts on business performance. </features> <target_audience> TurnUp is designed for HR departments, talent management teams, and business leaders who want to reduce employee turnover and improve retention rates. </target_audience> <revenue_model> TurnUp generates revenue through subscription fees based on the number of employees and the features included in the plan. </revenue_model> ```

What does TurnUp do?

TurnUp utilizes machine learning algorithms to predict employee turnover with 90% accuracy, identifying potential flight risks among current staff and job applicants. By providing actionable insights, the platform helps organizations reduce hiring costs by 15% and save an average of $2,000 per employee by proactively addressing retention issues.

Where is TurnUp located?

TurnUp is based in Decatur, United States.

When was TurnUp founded?

TurnUp was founded in 2024.

Who founded TurnUp?

TurnUp was founded by Nicholas Swaminathan.

  • Nicholas Swaminathan - Founder
Location
Decatur, United States
Founded
2024
Employees
5 employees
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TurnUp

Score: 43/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

TurnUp utilizes machine learning algorithms to predict employee turnover with 90% accuracy, identifying potential flight risks among current staff and job applicants. By providing actionable insights, the platform helps organizations reduce hiring costs by 15% and save an average of $2,000 per employee by proactively addressing retention issues.

turnuptalent.ai10+
Founded 2024Decatur, United States

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Nicholas Swaminathan

Founder

Company Description

Problem

High employee turnover rates lead to increased hiring and training costs, decreased productivity, and loss of institutional knowledge. Identifying employees at risk of leaving is challenging, and reactive retention efforts are often ineffective.

Solution

TurnUp is an AI-powered platform that predicts employee turnover by analyzing various data points to identify potential flight risks among current staff and job applicants. The system provides actionable insights, enabling organizations to proactively address retention issues and reduce hiring costs. By understanding the factors driving employee attrition, companies can implement targeted interventions to improve employee satisfaction and reduce turnover. The platform integrates with existing HRIS systems, providing a seamless and efficient way to monitor and manage employee retention.

Features

Machine learning models that predict employee turnover with high accuracy.

Integration with existing HRIS systems for seamless data import.

Automated alerts and reports to notify managers of potential flight risks.

Customizable filters to segment employees and identify specific trends.

Actionable recommendations on how to retain at-risk employees.

Employee-specific insights to understand individual drivers of attrition.

Tools to track the impact of retention efforts on business performance.

Target Audience

TurnUp is designed for HR departments, talent management teams, and business leaders who want to reduce employee turnover and improve retention rates.

Revenue Model

TurnUp generates revenue through subscription fees based on the number of employees and the features included in the plan.