Citadel AI offers a unified platform for evaluating, monitoring, and governing AI systems, including LLMs and computer vision models. It helps organizations improve AI quality, accelerate development, and mitigate risks related to safety, security, and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations developing and deploying AI systems face challenges in ensuring model performance, safety, security, and compliance with evolving regulations. This complexity is amplified by the need to manage diverse AI models, including Large Language Models (LLMs), computer vision, and tabular data models, across their lifecycle from experimentation to production.
Solution
Citadel AI provides a unified platform for evaluating, monitoring, and governing AI systems. The platform offers tools to optimize AI quality and accelerate development cycles, enabling teams to move from experimentation to production with greater confidence. Citadel AI supports a range of AI modalities, including LLMs, computer vision, and tabular AI, by providing specialized features for each. This comprehensive approach helps organizations mitigate risks related to AI safety, security, and compliance while maximizing the performance of their AI deployments.
Target Audience
The primary target audience includes AI engineering teams responsible for model development and optimization, as well as compliance and risk management teams tasked with ensuring AI systems meet regulatory and internal policy requirements.
Features
- **Citadel Lens**: A platform for testing AI models and datasets against industry standards, focusing on improving AI performance.
- Supports LLMs, computer vision, and tabular AI models.
- Offers automated evaluation and red teaming for safety and security, including jailbreak detection.
- Enables creation of custom, prompt-based metrics for nuanced evaluation.
- Provides explainability tools (e.g., counterfactual explanations, heatmaps) and generates compliance reports (e.g., EU AI Act, ISO standards).
- **Citadel Radar**: A solution for monitoring production AI models and data quality to enhance real-world performance.
- Detects and alerts on AI quality risks such as data drift, prediction drift, and data gaps.
- Monitors model quality even without ground truth data.
- Automates prediction logging and operational monitoring for compliance with AI standards.
- Includes a customizable firewall to block problematic data points and predictions.
- **Lens Custom Firewall**: A feature for generative AI applications that filters LLM input and output based on domain-specific rules for enhanced safety and security.
- **Metric Generator**: Proprietary technology that automates the creation of custom metrics for AI evaluation.
- **Model-agnostic testing**: Compatibility with models developed in any framework.
- **ISO 27001 certification and GDPR compliance**: Adherence to security and data privacy standards.