Maximize Model Accuracy and Robustness
by Mitigating Vulnerabilities and Biases
Boost AI model development with a high-definition performance assessment. Eliminate noise and robustness flaws, and increase accuracy and stability by mitigating vulnerabilities through enhanced explainability, robust validation,
and effective monitoring.
Maximize Model Accuracy and Robustness by Mitigating Vulnerabilities and Biases
Maximize Model Accuracy
and Robustness by
Mitigating Vulnerabilities and Biases
Boost AI model development with
a high-definition performance assessment. Eliminate noise and robustness flaws, and increase accuracy and stability by mitigating vulnerabilities through enhanced explainability, robust validation, and effective monitoring.
Secure, Reliable, and Compliant LLMs with RAGRails
Mitigate security, performance, and ethical risks in Retrieval-Augmented Generation (RAG) with continuous validation, monitoring, and governance.
LLMs are transforming businesses—but without the right safeguards, risks like data leaks, adversarial attacks, and AI hallucinations can lead to compliance failures and financial loss.
RAGRails keeps your LLMs accurate, secure, and compliant with continuous validation, monitoring, and governance for RAG workflows.
Contact us today to learn how Citrusˣ can ensure secure, reliable, and compliant LLMs
LLMMessage
RAGRails
Citrusˣ provides a complete solution to validate, monitor, explain, and govern LLMs, ensuring accuracy, transparency, and control.
Validate
Ensure your LLM delivers accurate, fair, and trustworthy AI outputs.
RAGRails performs end-to-end validation of Retrieval-Augmented Generation (RAG) pipelines, covering data sources, embedding models, and retrieval mechanisms to guarantee reliable, bias-free, and explainable AI decisions.
Fairness
Build fairness into your LLM workflows from the ground up.
RAGRails identifies and mitigates biases in your data and model outputs, ensuring that your AI serves all users equitably and responsibly.
Monitor
Real-time AI performance tracking for Retrieval-Augmented Generation.
RAGRails continuously monitors LLM workflows, detecting hallucinations, data mismatches, and retrieval errors to keep your RAG-powered AI models accurate, compliant, and robust.
Govern
AI governance made easy
Ensure ethical, compliant LLMs. RAGRails helps enforce AI compliance, risk management, and governance policies by providing a structured approach to monitoring, auditing, and integrating RAG workflows while maintaining model integrity and regulatory alignment.
Use Cases for RAGRails
Citrusˣ supports organizations in building and deploying robust and responsible LLMs at scale.
AI-Powered Search
& Knowledge Management
Helps to quickly find information by retrieving and generating responses from internal documentation
Customer Support
& Chatbots
Enhance customer interactions with AI chatbots that pull accurate answers from company knowledge bases and support resources.
Financial Services
& Risk Analysis
Support fraud detection, risk assessment, and investment research by retrieving relevant data and generating insightful reports.
Cybersecurity
& Threat Intelligence
Analyze cyber threats by retrieving data from security reports, vulnerability databases, and past attack patterns.
