Citrusˣ
The AI and LLM Validation and Risk Management Platform
Description
Citrusˣ provides a comprehensive solution for managing the entire lifecycle of AI and Large Language Model (LLM) development and deployment. It focuses on ensuring models are accurate, robust, fair, and compliant with regulatory standards. The platform offers real-time monitoring capabilities, sending live alerts when models make mistakes or exhibit performance degradation, allowing teams to respond immediately and prevent costly failures.
Designed to connect various stakeholders, from data scientists to executives and regulators, Citrusˣ facilitates transparency and collaboration. It utilizes proprietary, patent-pending technology to offer deep insights into model behavior, including both global and local explainability. The platform includes tools for validation, governance, bias detection, anomaly identification, continuous monitoring, reporting, and risk mitigation, aiming to streamline AI development while upholding ethical principles and meeting compliance requirements like the EU AI Act and AIDA.
Key Features
- Real-Time Monitoring: Receive live alerts on model errors and performance drifts.
- Comprehensive Validation: Ensure model stability and accuracy with extensive validation metrics.
- Dual-Level Explainability: Provides complete global and local explanations for model decisions and predictions.
- Bias and Vulnerability Detection: Identify and pinpoint biases and vulnerable segments within models to ensure fairness.
- Automated Custom Reporting: Generate real-time, tailored reports for different stakeholders and scenarios.
- Regulatory Compliance Tools: Features essential capabilities to comply with AI regulations like EU AI Act and AIDA.
- Risk Mitigation Suggestions: Offers actionable steps and alerts to reduce and mitigate identified risks in models.
- End-to-End Lifecycle Management: Covers both development (Validate, Explain, Govern, Detect) and deployment (Monitor, Explain, Report, Mitigate) phases.
Use Cases
- AI Model Validation & Verification
- AI Risk Management & Assessment
- LLM Performance Monitoring & Explainability
- AI Governance & Regulatory Compliance (EU AI Act, AIDA)
- Bias Detection & Fairness Assurance in AI
- Real-time AI Model Oversight
- Stakeholder Collaboration on AI Projects
- RAG in LLMs Monitoring and Validation
