Case Study: Narya.AI accelerates AI prototyping, data labeling, and deployments with Vellum

How Narya's team uses Vellum for auto data labeling & deployments

Narya.AI, an AI company that helps developers test smart contracts, was facing time-consuming and complex challenges in prototyping and deploying their large language models. Their existing ML systems required manual data labeling and extensive engineering steps, which slowed down their development process. They sought a solution from Vellum to streamline this workflow and enable their non-ML engineers to contribute.

By implementing Vellum, Narya.AI automated their data labeling process and used the platform for rapid prototyping and reliable deployment. The solution saved their data scientists 30% of their time and empowered their Solidity engineers to independently test and deploy models. Vellum enabled them to create synthetic datasets from completion logs, which they now use to fine-tune open-source models for production.

Narya.AI