Vellum is a developer platform for building production-level applications on large language models (LLMs) such as OpenAI’s GPT-4 and Anthropic’s Claude. Vellum enables developers to streamline prompt engineering, iterate on prompts in live environments, and continuously fine-tune their LLM-powered applications for improved results.
Vellum addresses the challenges of building with advanced LLMs by providing tools that help teams save time on prompt engineering and confidently manage prompts in production. The platform supports teams looking to deploy robust, scalable AI-powered features in their products, while allowing for ongoing optimization and experimentation directly in production workflows.
Who uses Vellum?
Vellum serves a range of technology-forward companies that are building or integrating LLM-based features into their applications. Notable customers include Drata, Woflow, Redfin, Headspace, Ashby, Conv, Og, Brilliant, Laven, DeepScribe, and Rentgrata. These organizations leverage Vellum to accelerate development cycles and enhance the quality of LLM-driven outputs.
How was Vellum started?
Vellum was founded by a team with backgrounds spanning sales, technical architecture, and executive leadership: Nico Finelli (Sales), Aaron Levin (Solutions Architect), Noa Flaherty (CTO), Ben Slade (Sales), and Akash Sharma (CEO). Their combined expertise guides Vellum's focus on developer-centric solutions for LLM application deployment.
What makes Vellum different?
Vellum’s distinctive value lies in its support for continuous prompt iteration and fine-tuning within production environments. This enables teams to adapt and optimize LLM behaviors as requirements evolve, ensuring that applications remain effective and relevant. The platform is designed for efficiency, reducing manual work and enabling rapid experimentation without sacrificing reliability.
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