What is Vellum?
Vellum AI is a cutting-edge platform designed to streamline the development and deployment of AI products. Utilizing advanced tooling for experimentation, evaluation, deployment, monitoring, and collaboration, Vellum AI bridges the gap from early-stage AI ideas to robust, production-grade features. Its user-friendly interface and comprehensive features empower teams to iterate quickly without being bogged down by inefficiencies, allowing for faster time-to-market for AI solutions.
What are the features of Vellum?
Seamless Experimentation
Vellum AI offers systematic iteration abilities for developers, allowing rapid experimentation with various prompts, models, architectures, and Retrieval-Augmented Generation (RAG) techniques. Users can easily test any language model (LLM) idea through the platform's intuitive User Interface (UI) or Software Development Kits (SDKs).
Comprehensive Evaluation
The platform promotes a test-driven development (TDD) approach, enabling teams to optimize trade-offs between quality, cost, and latency. Vellum AI facilitates thorough evaluations prior to deployment, ensuring that changes can be released with confidence.
Efficient Deployment
Vellum AI enables detailed logging and captures end-user feedback for every API request. This function allows for fine-grained release management, ensuring that teams maintain control over the deployment process.
Robust Monitoring
The monitoring capabilities embedded within Vellum AI offer real-time measurement of quality in production environments. Users can detect anomalies swiftly, allowing for rapid debugging while establishing a feedback loop that accumulates over time for continuous improvement.
What are the characteristics of Vellum?
Vellum AI is specially designed for enterprise-scale applications. It adheres to strict compliance standards including SOC2 II, HIPAA, and Business Associate Agreements (BAA), making it suitable for sensitive data handling. The platform supports customizable data retention policies and role-based access control, ensuring that teams can manage data responsibly while enhancing collaboration.
What are the use cases of Vellum?
Vellum AI can be effectively utilized in a variety of contexts:
- Product Development: Teams can quickly validate AI ideas and construct proofs-of-concept (POCs) with minimal assistance.
- Performance Optimization: Developers can leverage automated testing, version control, and CI/CD processes, elevating AI systems to meet high performance and reliability standards.
- Real-Time Features: Organizations relying on real-time AI capabilities can benefit from reduced latency and dependable handling of high volumes of production requests.
- Market Expansion: Businesses can accelerate AI-based product launches across multiple markets, gaining a competitive edge in diverse regions.
How to use Vellum?
Utilizing Vellum AI is straightforward. Teams can begin by setting up an account on the platform. Once registered, users can access the Workflows Integrated Development Environment (IDE), where they can design and prototype AI solutions. The platform’s resources, including pre-built tools and case studies, will guide users through the process of experimentation and deployment. Regular monitoring will help in optimizing performance according to user feedback and real-time evaluations.
