Monitor, evaluate, and optimize large language model applications
LangWatch helps AI development teams ensure quality and accelerate deployment of LLM-powered applications. It automates the tedious process of prompt engineering and model optimization while providing enterprise-grade monitoring tools. The platform acts like a quality control system for AI, helping teams track performance metrics and collaborate effectively across technical and non-technical roles.
Automatically finds best prompts/models using DSPy framework
Collaborative workspace to set quality standards
Track performance across pipeline changes
30+ prebuilt or create your own quality checks
GDPR compliance & self-hosted deployment options
Combines automated prompt optimization with enterprise monitoring using Stanford's DSPy framework
Yes, drag-and-drop interface allows collaboration with domain experts
Offers self-hosted deployment and GDPR compliance with EU-based servers
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Recent data shows that LangWatch has 15.3K monthly visits (51.2% increase from the previous month), 46.0% bounce rate, and average 1.64 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by France contributing 23% of total traffic. SEO performance is shown by 5 tracked keywords, with "langwatch" being the top-performing keyword with 1.9K monthly searches. See below for more info.
Monthly Visits
15.3K
Pages per Visit
1.64
Bounce Rate
46.0%
Average Time on Site
15s
| SEO Keyword | Volume | CPC |
|---|---|---|
| langwatch | 1.9K | - |
| dspy use langwatch | 100 | - |
| lamgwatch dspy | 100 | - |
| what is langwatch | 100 | - |
| langflow integrations | 120 | - |
| Source | Traffic Share |
|---|---|
| Direct | 52% |
| Search | 30% |
| Social | 7% |
| Referrals | 10% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 23% |
 | 17% |
 | 16% |
 | 9% |
 | 5% |
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