WhyLabs provides tools to ensure AI applications are secure, reliable, and performant. It offers the WhyLabs AI Control Center, an open-source platform, and tools like whylogs for data logging, LangKit for LLM monitoring and safeguarding, and OpenLLMTelemetry for real-time tracing and monitoring of LLM-based systems. WhyLabs'...
Generates privacy-preserving dataset summaries, known as whylogs profiles, ensuring data security
Monitors and safeguards LLMs using LangKit, implementing effective guardrails and evaluations
Provides real-time tracing and monitoring of LLM-based systems using Open Telemetry integration
Continuously monitors model health across a wide range of statistical and derived metrics
Improves model performance by identifying the best model candidate and most reliable features
Traces which cohorts contribute to model performance and potentially introduce bias.
What is WhyLabs?
WhyLabs is an AI performance monitoring platform that helps teams track, diagnose, and improve the performance of machine learning models in production.
Who can benefit from using WhyLabs?
WhyLabs is ideal for data science teams, machine learning engineers, and businesses deploying AI models who want to ensure their models perform optimally in production environments.
How does WhyLabs monitor AI models?
WhyLabs monitors model performance by continuously tracking metrics, data drift, and other factors that could impact the accuracy of your machine learning models in real-time.
Does WhyLabs support multiple machine learning frameworks?
WhyLabs supports a wide range of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, and more, enabling seamless integration into existing workflows.
Can I set up alerts for performance issues?
WhyLabs allows users to configure custom alerts for performance degradation, data drift, or other key issues to proactively address model issues before they impact results.
Does WhyLabs integrate with other tools?
WhyLabs offers integrations with popular tools such as MLflow, Kubeflow, and cloud platforms, enabling smooth collaboration across your machine learning stack.
Is WhyLabs suitable for large-scale machine learning operations?
WhyLabs is highly scalable, designed to handle large-scale machine learning environments and can manage hundreds or thousands of models simultaneously.
Is WhyLabs secure and compliant with data privacy regulations?
WhyLabs complies with data privacy regulations such as GDPR and CCPA, ensuring your data and models are secure while respecting privacy standards.
whylabs.ai can assist healthcare professionals by monitoring the performance and data quality of AI models used in diagnosis, treatment planning, and patient monitoring, ensuring the reliability and accuracy of AI-powered systems
Manufacturing companies can leverage whylabs.ai to monitor and optimize AI models used in production processes, predictive maintenance, and quality control, improving efficiency and reducing downtime
Retail businesses can use whylabs.ai to monitor AI models used for personalized product recommendations, inventory management, and customer service chatbots, ensuring a trustworthy and fair customer experience
Marketing teams can utilize whylabs.ai to monitor AI models used for targeted advertising, social media analytics, and content generation, improving marketing effectiveness and ROI
Educational institutions can implement whylabs.ai to monitor AI models used for personalized learning, automated grading, and student performance analysis, ensuring reliable and unbiased educational outcomes
Financial institutions can leverage whylabs.ai to monitor AI models used for fraud detection, risk assessment, and algorithmic trading, ensuring the security and reliability of financial applications.
12.7k
1.7
16s
0.5%
No reviews yet. Be the first to review!
MediaPET is an agentic AI video advertising platform designed for...
$24.99
Touchpoint is an AI-powered email template builder that transforms simple...
$20
