WhyLabs AI Observatory website

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What is WhyLabs AI Observatory?

WhyLabs AI Observability Platform is a tool that allows users to monitor both structured and unstructured data, including ML models like LLMS.By leveraging the innovative WhyLogs open-source standard data logging, users can generate privacy-preserving dataset summaries known as WhyLogs profiles to ensure data integrity and compliance.

With Langkit integration, the platform provides guardrails, evaluations, and observability for LLMS, enabling data-driven enterprises in various verticals to extract actionable insights and ensure AI models' accuracy and reliability.

The platform serves industries such as financial services, logistics, manufacturing, retail, e-commerce, and healthcare by safeguarding against AI bias, opaqueness, business risks, and ensuring patient safety.

Through continuous monitoring of data quality, model drift, and key performance metrics, WhyLabs enables teams to proactively address issues, prevent data leakage, and improve AI applications through user feedback and cross-team collaboration.

Compatible with both structured and unstructured data, the platform supports batch and streaming processing and seamlessly integrates with existing data pipelines and multi-cloud architectures for real-time actionable insights at scale.

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⭐ WhyLabs AI Observatory Core features

  • ✔️ Monitor structured and unstructured data
  • ✔️ Generate privacy-preserving dataset summaries
  • ✔️ Provide guardrails, evaluations, and observability for ML models
  • ✔️ Continuous monitoring of data quality, model drift, and key performance metrics
  • ✔️ Support batch and streaming processing

⚙️ WhyLabs AI Observatory use case ideas

  1. Enhance data integrity and compliance in the financial services industry by using WhyLabs AI Observability Platform to generate WhyLogs profiles for structured and unstructured data, ensuring privacy-preserving dataset summaries and proactively monitoring data quality and model drift for regulatory compliance and risk mitigation.
  2. Improve patient safety and accuracy of AI models in healthcare by leveraging the Langkit integration in WhyLabs AI Observability Platform to provide guardrails, evaluations, and observability for LLMS, enabling continuous monitoring of key performance metrics and actionable insights for enhancing diagnostic accuracy and treatment outcomes.
  3. Optimize supply chain operations in the logistics industry with WhyLabs AI Observability Platform to monitor model performance and data quality in real-time, preventing data leakage, addressing issues proactively, and improving decision-making through actionable insights and cross-team collaboration for efficient inventory management and delivery logistics.

🙋‍♂️ Users of this tool

Data scientists
Machine learning engineers
Data engineers
Ai project managers
C-level executives in industries using ai

💰 WhyLabs AI Observatory Pricing

Prices are subject to change. Always verify pricing information.

Starter

$0

Expert

$125/mo

Enterprise

custom
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❓ WhyLabs AI Observatory FAQ

The WhyLabs AI Observability Platform monitors structured and unstructured data, including ML models, through privacy-preserving dataset summaries, accurate guardrails, and proactive issue prevention for multiple industries.
Getting started with WhyLabs AI Observatory is easy! Simply visit the official website and sign up for an account to start.
WhyLabs AI Observatory uses a Freemium pricing model , meaning there is a free tier along with other options.
The typical users of WhyLabs AI Observatory include:
  • Data scientists
  • Machine learning engineers
  • Data engineers
  • Ai project managers
  • C-level executives in industries using ai
Yes, WhyLabs AI Observatory provides an API that developers can use to integrate its AI capabilities into their own applications.
Follow WhyLabs AI Observatory on social media to stay updated with the latest news and features:
WhyLabs AI Observatory enjoys a popularity rating of 4.97/10 on our platform as of today compared to other tools. It receives an estimated average of 41.7K visits per month, indicating interest and engagement among users.