Ethique Ai
Éthique AI provides GAIA, an audit and simulation platform that helps organizations identify biases, gaps, and inconsistencies in their decision-making processes, particularly in HR practices like recruitment, promotions, and performance reviews. The platform generates traceable evidence aligned with regulations such as ESG standards and the EU AI Act, and includes a what-if scenario engine to test rule changes before deployment.
- HR Technology
- Regulatory & Compliance Technology
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations increasingly rely on data and automated tools for decision-making, yet these processes often harbor unconscious biases, inconsistent rule application, and a lack of transparency. This leads to unfair outcomes in areas such as recruitment, promotions, and performance reviews, along with costly compliance failures under emerging regulations including ESG standards and the EU AI Act.
Solution
Éthique AI offers GAIA, an audit and simulation platform designed to optimize organizational practices for responsible governance. GAIA automatically identifies and documents gaps, biases, and incoherences in decision-making before they become costly, enabling companies to test the impact of new rules through what-if scenarios prior to validation. The platform generates traceable, auditable evidence aligned with internal policies and regulatory requirements, helping organizations improve decision quality, secure compliance, and reduce integration failure rates. Its comparative analytics across teams provide organizational coherence benchmarking and transparency for stakeholders.
Target Audience
Primary customers are organizations and HR departments seeking to audit, secure, and optimize human capital decisions, including leadership, governance, and talent management teams in companies subject to AI and ESG regulations.
Features
- Automated detection of decision-making gaps, biases, and inconsistencies across HR practices including recruitment, internal mobility, and promotions
- What-if scenario simulation engine to model the impact of rule changes before validation
- Traceable audit trails and documentation of decision criteria for enhanced explainability with stakeholders
- Comparative analysis across teams and organizational coherence benchmarking
- Audit capabilities for automated HR tools and algorithms, verifying alignment with job requirements and reducing integration failure rates
- Early risk factor identification for talent retention and turnover prediction within the first three months of employment