Case Study: Codingscape achieves faster AI app development with Vellum

How Codingscape improved time-to-market for their AI apps

Codingscape, a modern technology consultancy, needed a faster and more scalable way to build custom AI applications for their clients. Their use of open-source LLM frameworks was slowing down development, making it difficult for their engineers to efficiently handle processes like prompt evaluation and RAG setup. This challenge led them to seek out a solution from Vellum.

By implementing Vellum, and specifically its Workflow and Prompt Sandbox features, Codingscape was able to streamline AI app development and deployment. The solution enabled them to rapidly prototype, test prompts, and ship production-grade apps, resulting in a significantly improved time-to-market. As a result, Vellum helped Codingscape win more client engagements and onboard their senior software engineers to AI development much faster.

Codingscape

Chris Shepherd

AI Product Manager