LangWatch
Continuous monitoring for AI model performance and compliance.
LangWatch is a system designed for monitoring and evaluating large language models. It streamlines the process of preparing AI applications for production, allowing teams to work much faster.
With LangWatch, companies can analyze every part of their AI projects, ensuring everything functions well together. This thorough approach leads to more reliable outputs and maintains high security standards. Developers focus on coding while LangWatch manages optimization tasks.
By involving domain experts in the development, organizations can trust the quality of their AI results. This system is essential for companies aiming to enhance their AI capabilities while keeping risks low and efficiency high.
- Monitor AI application performance
- Evaluate model outputs effectively
- Optimize prompts for better results
- Collaborate with domain experts easily
- Manage datasets for LLM optimization
- Ensure compliance with security standards
- Track AI project progress efficiently
- Improve accuracy for customer interactions
- Reduce costs associated with AI development
- Streamline integrations with existing systems
- Accelerates AI application development
- Improves reliability of AI outputs
- Comprehensive evaluation across entire pipeline
- Integrates easily with various tech stacks
- Supports collaboration with domain experts
Streamlined cloud management for scalable, secure infrastructure.
Streamlined testing for AI-driven applications using real data.
Streamlined management for AI agents and automation tasks.
Generative AI platform prioritizing data security for businesses.
On-premises AI management for secure data control and efficiency.
AI development studio for efficient model design and deployment.
Collaborative environment for building and managing AI models.
Collaborative platform for building and testing AI features.
Product info
- About pricing: Subscription + from €59/m
- Main task: AI strategy
- More Tasks
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Target Audience
AI developers Data scientists Software engineers Project managers Enterprise IT teams