Vellum

Vellum is a comprehensive AI development platform designed to streamline and accelerate the creation of production-grade language model applications. Through its integrated suite of tools, Vellum addresses the entire lifecycle of AI product development, from initial experimentation to deployment and monitoring, making it easier for teams to build reliable AI systems at scale.

At the core of Vellum's offering is a sophisticated prompt engineering environment that allows developers to create, test, and refine prompts across multiple models and providers. This playground enables side-by-side comparison of different model outputs, helping teams identify the optimal model and prompt combination for their specific use case. Vellum''s prompt management system brings software engineering best practices to AI development, offering versioning, collaboration features, and a structured approach to prompt organization that eliminates the chaos of scattered prompts across various tools and documents.

Vellum''s workflow orchestration capabilities enable developers to build complex, multi-step AI processes through both a visual interface and a code-first SDK. The platform''s unique bidirectional synchronization between UI and code ensures that changes made in either environment are automatically reflected in the other, bridging the gap between technical and non-technical team members. This innovative approach allows product managers, designers, and engineers to collaborate effectively on AI applications, with each team member working in their preferred environment.

Testing and evaluation are critical aspects of AI development that Vellum handles through its comprehensive evaluation framework. The platform supports various evaluation methodologies, including pre-defined metrics, custom criteria, and the LLM-as-judge approach, allowing teams to systematically assess the quality of their AI outputs. This test-driven development approach helps identify and address issues before deployment, significantly improving the reliability of AI applications.

For retrieving and contextualizing information, Vellum offers robust retrieval capabilities that can process various data types, including text, PDFs, and images. The platform handles the complexities of chunking, embedding, and search optimization, allowing developers to focus on building applications rather than managing retrieval infrastructure. This feature is particularly valuable for applications that require access to specific company knowledge or domain expertise.

Vellum''s deployment infrastructure enables seamless transition from development to production, with one-click deployments that decouple AI updates from application code changes. This allows teams to iterate on their AI components independently of their application release cycles, significantly accelerating the pace of improvement. The platform''s monitoring capabilities provide visibility into the AI system''s behavior, tracking inputs, outputs, costs, latency, and user feedback to help teams identify trends and issues.

Throughout the development process, Vellum emphasizes collaboration and knowledge sharing, offering templates, best practices, and expert guidance to help teams navigate the rapidly evolving AI landscape. The platform''s enterprise-grade features, including role-based access controls and audit logs, ensure that organizations can maintain appropriate governance while scaling their AI initiatives. By combining technical capabilities with collaborative features and expert support, Vellum enables organizations of all sizes to build sophisticated AI applications that deliver tangible business value.