Overview
Noah is an enterprise-grade AI governance and monitoring platform that helps organizations ensure compliance, reliability, and security of AI/ML systems. The platform provides comprehensive monitoring, testing, and documentation capabilities for both traditional ML endpoints and Large Language Models (LLMs), bridging the gap between AI innovation and regulatory compliance.
Key Features
Noah's comprehensive feature set addresses the complete lifecycle of AI governance and monitoring:
Real-Time LLM Monitoring
Track every API call with 40+ metrics including latency, success rates, token usage, costs, readability, sentiment, and PII detection. Noah's proxy layer provides comprehensive visibility with minimal code changes, enabling teams to monitor performance, costs, and security from a unified platform.
Content Drift Detection
Identify when model outputs deviate from expected behavior using semantic embeddings (1536-dimension vectors) and cosine distance calculations. This goes beyond string matching to provide true semantic understanding, detecting changes from model updates, prompt modifications, or data shifts. Set custom thresholds, receive alerts, and investigate root causes with detailed analytics.
Automated Testing
Validate models with golden datasets (expected input-output pairs), robustness testing for adversarial inputs, and hallucination detection. Configure automated test runs, trigger pre-deployment tests, and receive detailed reports with examples of failures for rapid debugging.
Compliance Documentation
Generate audit-ready evidence packs mapping to EU AI Act, DORA, NIS2, and OECD. Cryptographically signed and timestamped documents include model behavior, test results, compliance controls, and regulatory requirement mappings. Automate documentation to save time while ensuring audit readiness.
Multi-Channel Alerting
Monitor AI systems 24/7 with notifications via email, Slack, or Microsoft Teams. Configure customizable thresholds, severity levels, cooldown periods, escalation policies, and auto-resolve rules. Create sophisticated alert strategies based on individual metrics or complex conditions.
Noah AI Agent
Ask questions in natural language and receive contextually-aware responses. The agent analyzes trends, generates reports, provides troubleshooting guidance, and recommends optimizations. Integrates with Slack and Microsoft Teams for seamless access to insights without leaving your workflow.
API Key Management
Generate keys with fine-grained permissions, expiration dates, and usage limits. Track all key usage in real-time, enforce automatic rotation policies, and maintain detailed audit logs. Instantly revoke compromised keys to terminate all active sessions.
Multi-Organization Support
Complete data isolation with separate databases, independent billing, and isolated access controls per organization. Four RBAC roles (Administrator, Engineer, Compliance Officer, Viewer) provide granular permission control. Ideal for managed service providers and enterprises.
Use Cases
Noah serves diverse teams across various industries, each with unique requirements and challenges:
AI Governance Teams
Governance teams responsible for AI oversight use Noah to maintain comprehensive compliance documentation and audit trails. The platform automatically captures evidence of AI system behavior, control implementations, and testing procedures, eliminating the need for manual documentation processes that are both time-consuming and error-prone. When auditors request proof of compliance, teams can quickly generate cryptographically signed evidence packs that contain all necessary information mapped to specific regulatory requirements. This transforms compliance from a burden into a streamlined, automated process that saves countless hours while improving accuracy and consistency.
ML Engineers
Machine learning engineers rely on Noah to monitor model performance in production and detect drift before it impacts end users. The platform provides real-time visibility into model behavior, allowing engineers to identify issues quickly and understand their root causes through detailed analytics. When models are updated or retrained, Noah's drift detection capabilities help validate that the changes improve rather than degrade performance. Engineers can also use the detailed metrics to optimize model configurations, reduce operational costs, and improve response times—ensuring that AI systems deliver maximum value while operating efficiently.
Compliance Officers
Compliance officers in regulated industries use Noah to generate evidence for regulatory audits and demonstrate adherence to AI governance frameworks. The platform's direct mapping to standards like the EU AI Act and DORA means that compliance officers can tie technical implementations directly to regulatory requirements. Evidence packs provide auditors with cryptographically verifiable proof that systems meet compliance standards, reducing audit duration and complexity significantly. The platform also helps identify compliance gaps before they become issues, enabling proactive risk management and reducing the likelihood of regulatory findings or penalties.
DevOps Teams
DevOps teams integrate Noah into their operational workflows to set up alerts for model failures, performance degradation, and cost overruns. The platform's webhook support enables automation of response procedures, allowing teams to automatically scale resources, switch to backup models, or trigger incident response workflows when issues are detected. Integration with existing monitoring and incident management tools ensures that AI system issues are handled with the same rigor and process as traditional infrastructure problems, maintaining operational excellence across the entire technology stack.
Product Teams
Product teams track LLM costs and usage across applications to understand the economic impact of AI features and optimize resource allocation. Noah's detailed cost tracking breaks down expenses by model, user, department, or any custom dimension, enabling data-driven decisions about which AI features to invest in and where optimization efforts should focus. The platform's budget alerts prevent surprise bills by notifying teams before spending limits are reached, while cost projections help with financial planning and forecasting, ensuring that AI initiatives remain economically viable and aligned with business objectives.
Getting Started
Noah delivers immediate value with quick setup. Create an account, set up your organization, and create a project—within minutes, start proxying requests and gaining model visibility. Comprehensive documentation guides you from basic setup to advanced features like compliance frameworks and evidence generation. Noah scales from single systems to complex portfolios while maintaining simplicity.