WhyLabs is an AI observability and security platform designed to monitor, detect, and address issues in machine learning models and data pipelines. It provides real-time insights into model performance, data quality, and potential security vulnerabilities. The platform supports monitoring of predictive models, large language models (LLMs), and data streams, ensuring that AI systems operate reliably and securely.
With its AI Control Center, WhyLabs offers tools for observing model behavior, securing AI applications against threats like data leakage and prompt injections, and optimizing performance through continuous feedback. Its architecture supports monitoring 100% of data without sampling, catering to both structured and unstructured data types. WhyLabs integrates seamlessly with existing ML frameworks and cloud providers, making it adaptable to various organizational needs.
| WhyLabs Review Summary | |
| Performance Score | A |
| Content/Output | Real-time monitoring and security for AI applications |
| Interface | User-friendly dashboards and customizable views |
| AI Technology | Supports predictive models, LLMs, and data pipelines |
| Purpose of Tool | Monitor, secure, and optimize AI systems |
| Compatibility | Integrates with major ML frameworks and cloud providers |
| Pricing | Free Starter Plan; Enterprise Plan with custom pricing |
Who is Best for Using WhyLabs?
- Healthcare Providers: Use WhyLabs to monitor AI systems for patient safety, ensuring compliance and reliability in healthcare applications.
- Financial Institutions: Rely on WhyLabs to detect and prevent biases in financial models, maintaining fairness and regulatory compliance.
- E-commerce Platforms: Implement WhyLabs to monitor recommendation systems, enhancing customer experience and sales performance.
- Manufacturing Companies: Utilize WhyLabs to oversee predictive maintenance models, reducing downtime and operational costs.
- Technology Startups: Adopt WhyLabs for real-time monitoring of AI applications, ensuring scalability and performance as they grow.
WhyLabs Key Features
| Real-time monitoring | Detection of data drift | Security features |
| Support for both structured and unstructured data | Customizable dashboards | Integration with major ML frameworks |
| Monitoring without data sampling | Privacy-preserving architecture | Support for LLM observability and security |
Is WhyLabs Free?
WhyLabs offers multiple pricing tiers designed to support a range of users—from individuals to enterprise teams—with both observability and security tools for AI systems.
- FREE TRIAL: 14-day trial of all WhyLabs Secure capabilities.
- EXPERT Plan – $125/month: Includes up to 3 projects, 5 users, 200 features per project, 100 million predictions/month, daily or weekly monitoring, and email support.
- ENTERPRISE Plan – Custom Pricing: Includes unlimited projects, custom users, features, segments, data retention, and 24×7 support with private Slack/Teams, training, onboarding, and dedicated success teams.
- EXPERT Plan – $1,100/month/project: 1 project with 5 out-of-the-box security policy rule sets, 100,000 traces/month, and private link support for AWS or Azure.
- ENTERPRISE Plan – Custom Pricing: Unlimited/custom projects, tokens, and traces, with all policy rule sets and custom retention, 24×7 support with onboarding and workshops, private Slack/Teams channel, and advanced compliance options.
WhyLabs Pros and Cons
Pros
- Comprehensive real-time monitoring of AI systems.
- Robust security features for LLMs.
- No data sampling ensures complete observability.
- User-friendly interface with customizable dashboards.
- Seamless integration with existing ML and cloud tools.
Cons
- Advanced features may require the Enterprise Plan.
- Initial setup may require integration with existing systems.
- Custom pricing may vary based on organizational needs.
FAQs
How does WhyLabs handle data privacy?
WhyLabs uses a privacy-preserving architecture that does not require raw data, ensuring data security and compliance.
Can WhyLabs monitor large-scale data?
Yes, WhyLabs is designed to handle large-scale data, providing efficient monitoring without compromising performance.
What types of AI models does WhyLabs support?
WhyLabs supports a wide range of AI models, including predictive models, LLMs, and various data pipelines.
