Closecare is a platform that automates the collection and validation of employee absence documentation using artificial intelligence, significantly reducing manual processing time by over 90%. By providing real-time analytics and integration with payroll systems, it enables organizations to make data-driven decisions to effectively manage absenteeism and improve employee well-being.
Funding
Funding not disclosed

Founders
Product
Problem
Human Resources, Departamento de Pessoal (DP), and Segurança e Saúde no Trabalho (SESMT) teams face challenges in managing employee absenteeism, including high volumes of absence documentation, manual validation processes, and a lack of time for data analysis. This operational burden hinders strategic planning and prevents these teams from demonstrating their value to the company.
Solution
Closecare automates the end-to-end process of collecting, validating, and analyzing employee absence documentation, reducing manual processing time by leveraging AI-powered multi-layered validation. The platform digitizes document submission through a web application, analyzes document veracity, and evaluates compliance with internal policies, labor agreements, and relevant laws. Closecare integrates with payroll and time-tracking systems, streamlining data transfer and minimizing manual data entry. Real-time dashboards and customizable reports provide insights into absenteeism trends, enabling data-driven decisions and proactive interventions to improve employee well-being.
Target Audience
Closecare is designed for HR, DP, and SESMT teams in organizations of all sizes seeking to streamline absence management, reduce administrative overhead, and gain data-driven insights into employee absenteeism.
Features
- Web application for employees to submit absence documentation, ensuring compliance with data privacy regulations
- AI-powered document validation to verify authenticity and accuracy
- Customizable rules engine to enforce internal policies, labor agreements, and legal requirements
- Integration with payroll and time-tracking systems for automated data transfer
- Real-time dashboards and reports for monitoring absenteeism trends and identifying areas for improvement
- Multi-layered validation process with AI, rule-based checks, and optional human review
- Automated alerts and notifications for policy violations or suspicious absence patterns