Basqo (formerly Cartha) is a workforce cost planning and controlling software that helps companies plan and manage their personnel costs with precision. With Basqo, companies can consolidate data from various sources, simulate scenarios, and access their workforce cost forecast live at any time. Planning data, such as hiring plans, is kept up to date directly within the system, while Basqo seamlessly integrates with over 80 existing HR systems for active positions. This provides all stakeholders with a clear, real-time overview of personnel costs. Which features are integrated into Basqo? Personnel cost planning: Detailed budgeting of salaries, bonuses, and other compensation components. Scenario analyses: What-if scenarios to support strategic decisions. Automated personnel cost forecast: Based on historical and current data, accounting for changes such as adjusted start dates. HR controlling: Clear dashboards for real-time insights into cost development, with precise budget-to-forecast comparisons. Collaborative work: Specific user permissions define who can view or modify data, ensuring secure and efficient collaboration among stakeholders. Integration with existing systems: Interfaces to 80+ HR systems (HRIS and ATS) like Personio, Hibob or Greenhouse. Who is Basqo suitable for? Basqo is designed for HR and Finance teams aiming to make their headcount planning and cost control more efficient. Companies with 100 to 5,000 employees benefit most from Cartha, as it consolidates planning data across departments and speeds up the decision-making processes. In addition to FFinance and HR teams, department heads stay up to date thanks to real-time reporting and dedicated user permissions, making complex planning fast and easy. Is Basqo GDPR-compliant and secure? Cartha is 100% GDPR-compliant and adheres to the highest security standards. Data is processed on servers in Germany and protected through encryption measures. All systems comply with the latest security regulations to ensure the protection of sensitive personnel data.