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What is WhyLabs AI Observatory?

The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.

WhyLabs AI Observatory's Tags
Developer toolsExperimentsAI Chatbots
WhyLabs AI Observatory
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How to use WhyLabs AI Observatory?

To use the WhyLabs AI Observability Platform, you need to integrate the purpose-built agents with your existing data pipelines and multi-cloud architectures. The platform provides secure integration with built-in agents that analyze raw data without moving or duplicating it, ensuring data privacy and security. You can then continuously monitor your predictive models, generative models, data pipelines, and feature stores using the integrated agents. The platform also supports monitoring of structured or unstructured data by running whylogs on your data and uploading the logs to the platform.


WhyLabs AI Observatory's Core Features

Model and data health monitoring
Continuous monitoring for model input and output drift
Identification of training-serving skew
Improvement of AI performance by identifying the best model candidate and reliable features
Traceability of cohorts that contribute to model performance and introduce bias
Proactive resolution of data quality issues in feature pipelines and feature stores
LLM (Language and Learning Models) security for self-hosted and proprietary LLM APIs
Inline actions to protect against prompts with malicious intent and abuse risk
Protection against OWASP Top 10 vulnerabilities, such as prompt injections and data leakage
Continuous evaluation of LLM prompts and responses to ensure a positive user experience
Enterprise-grade features, including RBAC, SAML SSO, API controls, and advanced trigger and notification configurations
Security compliance (SOC 2 Type 2)
Hybrid SaaS deployment model for highly confidential models
Root cause analysis tools for issue investigation
Powerful monitoring algorithms for intelligent baseline and seasonal monitors
Seamless integration with existing pipelines and tools

WhyLabs AI Observatory's Use Cases

Financial Services: Safeguard financial services businesses from the risks of AI bias and opaqueness
Logistics & Manufacturing: Ensure AI continuously delivers an advantage to logistics and manufacturing businesses
Retail & E-commerce: Optimize retail business decisions and ensure accurate and reliable models
Healthcare: Monitor AI systems used in healthcare to ensure reliability, compliance, and patient safety

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WhyLabs AI Observatory's Tags

AI observability
ML monitoring
Model monitoring
Data monitoring
Data privacy
Data logging
LLM security
Hybrid SaaS deployment
Root cause analysis

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