Monitor and secure AI systems with real-time observability
WhyLabs helps organizations maintain reliable AI systems by tracking model performance and data quality. It detects issues like data drift and security risks in Large Language Models (LLMs), giving teams actionable insights to prevent failures. Particularly valuable for regulated industries like healthcare and finance that need audit-ready AI operations.
Monitor prompts/responses to prevent harmful AI outputs
Identify data drift and model degradation automatically
whylogs library for privacy-preserving data logging
Monitor traditional ML and LLMs in one platform
Specializes in AI/ML-specific metrics like data drift and LLM security, with native integrations for ML pipelines
Yes, whylogs and LangKit can be used independently for data logging and LLM monitoring
Enterprise plan offers private cloud and on-prem options
This tool is best for:
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WhyLabs can be integrated with these apps and services:
Recent data shows that WhyLabs has 19.5K monthly visits (25.6% increase from the previous month), 45.0% bounce rate, and average 1.43 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 46% of total traffic. SEO performance is shown by 5 tracked keywords, with "whylabs" being the top-performing keyword with 1.6K monthly searches. See below for more info.
Monthly Visits
19.5K
Pages per Visit
1.43
Bounce Rate
45.0%
Average Time on Site
10s
| SEO Keyword | Volume | CPC |
|---|---|---|
| whylabs | 1.6K | $8.18 |
| ywh labs | 200 | - |
| different llms architectures | 0 | - |
| whylabs prmpt injection | 30 | - |
| mlflow model monitoriung | 70 | - |
| Source | Traffic Share |
|---|---|
| Direct | 40% |
| Search | 44% |
| Social | 6% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 46% |
 | 18% |
 | 7% |
 | 7% |
 | 5% |
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