Vellum AI

A platform for managing the lifecycle of LLM-powered applications with integrated workflows.
August 13, 2024
Web App
Vellum AI Website

About Vellum AI

Vellum AI is designed for product and engineering teams, accelerating AI development from idea to execution. Its innovative tools facilitate data-driven experimentation and systematic iteration, allowing users to deploy reliable AI systems efficiently. With Vellum AI, teams are empowered to launch intelligent features quickly and effectively.

Vellum AI offers flexible pricing plans tailored for teams of varying sizes. Users can start with a free tier to explore basic functionalities, while paid plans unlock advanced features, dedicated support, and higher API limits. Upgrading enhances the ability to leverage Vellum AI's full potential for rapid development.

Vellum AI's intuitive user interface streamlines the development process, ensuring a seamless experience for users. The clean layout facilitates easy navigation through its extensive features, enabling teams to focus on building AI solutions without unnecessary distractions, ultimately enhancing productivity and collaboration.

How Vellum AI works

Users start their journey with Vellum AI by signing up and completing a straightforward onboarding process. Once onboarded, users can easily navigate the user-friendly dashboard to access various features such as experimentation tools and deployment options. The platform allows for rapid iteration and testing of AI models, ensuring that development is both efficient and effective.

Key Features for Vellum AI

Rapid Experimentation

Vellum AI’s Rapid Experimentation feature enables users to swiftly iterate between different prompts, models, and architectures. This dynamic functionality enhances the exploratory phase of AI development, allowing teams to find optimal solutions quickly and paving the way for successful deployments and robust AI products.

Efficient Deployment

Vellum AI streamlines the Efficient Deployment process by integrating comprehensive monitoring and fine-grained release management. This feature ensures that users can release updates with confidence, minimizing downtime and maximizing performance, all while maintaining detailed logs and capturing valuable user feedback during each API request.

Automated Testing

Automated Testing in Vellum AI allows users to implement rigorous regression testing and continuous integration (CI/CD) practices. This feature significantly reduces the risk of errors during AI deployments, ensuring that the systems operate reliably while optimizing trade-offs in quality and performance throughout the development lifecycle.

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