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What is LangWatch?

Guardrails are crucial for maintaining AI systems, and LangWatch is designed to shield both you and your organization from the dangers of revealing sensitive data, prompt manipulation, and potential AI errors, ultimately protecting your brand from unforeseen damage. Companies that utilize integrated AI often face substantial difficulties in understanding how AI interacts with users. To ensure that responses are both accurate and appropriate, it is essential to uphold consistent quality through careful oversight. LangWatch implements safety protocols and guardrails that effectively reduce common AI issues, which include jailbreaking, unauthorized data leaks, and off-topic conversations. By utilizing real-time metrics, you can track conversion rates, evaluate the quality of responses, collect user feedback, and pinpoint areas where your knowledge base may be lacking, promoting continuous improvement. Moreover, its strong data analysis features allow for the assessment of new models and prompts, the development of custom datasets for testing, and the execution of tailored experimental simulations, ensuring that your AI system adapts in accordance with your business goals. With these comprehensive tools, organizations can confidently manage the intricacies of AI integration, enhancing their overall operational efficiency and effectiveness in the process. Thus, LangWatch not only protects your brand but also empowers you to optimize your AI initiatives for sustained growth.

What is Earthly Lunar?

Earthly Lunar functions as a guardrail engine tailored for engineering teams, enabling the transformation of various resources like wikis, AI prompts, AGENTS.md files, infrastructure guidelines, compliance mandates, checklists, and postmortem insights into uniform enforcement mechanisms within code repositories and CI/CD pipelines. By actively tracking code and CI/CD environments, it collects Software Development Life Cycle (SDLC) data from a multitude of sources, such as configuration files, dependencies, test results, Infrastructure as Code (IaC), deployment configurations, security evaluations, Software Bill of Materials (SBOMs), build scripts, and API specifications, effectively structuring this information for each application. Through the implementation of guardrails-as-code, the system persistently evaluates the amassed data against an organization's engineering standards, providing instant feedback for every modification made to the code. These policies can be triggered during AI-assisted writing, at the pull request stage, and when reaching deployment milestones, with enforcement strategies that vary from offering insights and comments on pull requests to outright preventing changes that fail to meet compliance criteria. This thorough strategy guarantees that engineering methodologies consistently correspond with organizational policies, fostering a culture of accountability and adherence to established guidelines. Moreover, the ability to integrate real-time monitoring and feedback loops enhances the agility of engineering teams while ensuring that compliance is maintained throughout the development cycle.

Media

Media

Integrations Supported

.NET
Argo CD
C++
CodeQL
Codecov
Cursor
Dependabot
GitHub
GitHub Actions
Grafana Cloud
Helm
Java
Kubernetes
PHP
Ruby
Rust
Scala
Semgrep
SonarQube Cloud
Terraform

Integrations Supported

.NET
Argo CD
C++
CodeQL
Codecov
Cursor
Dependabot
GitHub
GitHub Actions
Grafana Cloud
Helm
Java
Kubernetes
PHP
Ruby
Rust
Scala
Semgrep
SonarQube Cloud
Terraform

API Availability

Has API

API Availability

Has API

Pricing Information

€99 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LangWatch

Date Founded

2023

Company Location

Netherlands

Company Website

langwatch.ai

Company Facts

Organization Name

Earthly Lunar

Date Founded

2020

Company Location

United States

Company Website

earthly.dev/

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