Our mission is to help companies build emotionally sustainable teams through an anonymous, AI-powered platform.
Artificial Inlelligence
Mental health of your employees directly affects your organisation
Burnout is costly to an organization
Total direct losses *
Total indirect losses *
*The information was provided by https://www.statista.com/
*The information was provided by https://www.statista.com/
30%
45%
€4 billion
10%
15%
25%
Companies can lose up to 30% of an employee’s annual salary due to mental health issues, whether through reduced productivity or employee turnover.
47% of employees experience burnout risk, with medical expenses to address burnout-related issues reaching up to 45% of an employee's annual salary.
Loss from decreased customer satisfaction
Of the annual salary of managers
Loss of productivity among colleagues
In Spain, 338,000 sick leaves due to depression were recorded in 2023, with total costs—including medical expenses and productivity losses—estimated to exceed €4 billion.
We collect data from various sources based on ongoing research into the mental state of your company's employees
Artificial intelligence
Our AI-powered platform structures the received data and generates insights to improve the psychological climate of the team
All analytics in Equitera are presented in an accessible format on the main screen, providing real-time insights into the team’s psychological well-being
Dashboard
Equitera Values
Instant and visual analysis
Assess your team’s stress and burnout levels using validated questionnaires and clear, comparable dashboards.
100 % anonymous and secure
No personal data are collected; results are displayed only in aggregated form (≥ 5 people).
Proactive prevention
Act before absenteeism or turnover appear.
No installation or training needed
Direct access from any device, immediate activation.
Based on official methodologies
Includes CoPsoQ-ISTAS21, HSE and BAT-23.
AI-driven actionable insights
Equitera’s AI detects trends and suggests specific actions to improve well-being.