Vellum, the enterprise development platform for building, testing and deploying mission-critical AI products, has raised $20 million in Series A funding. The platform equips cross-functional teams with a centralized control panel to orchestrate end-to-end AI workflows by connecting models, tools and business data in one place to streamline the path to production. By coupling workflow orchestration, evaluations and testing, deployment and monitoring in one platform, Vellum enables organizations to build complex AI systems that output reliable results. The platform enables: AI workflow definition: A visual UI builder and SDK let teams map, test and refine AI logic. Engineers and non-technical experts can collaborate side by side. End-to-end evaluation: A robust testing suite catches failures and edge cases before they reach production. Safe deployments: Push updates and publish new versions without risky redeploys. Vellum enables precise version control, even in highly complex environments. Live monitoring and continuous improvement: Real-time observability reveals how systems behave in the real world, with live feedback loops that inform testing directly. With built-in evaluation, full observability and strict data isolation, Vellum enables Drata to move faster, iterate with confidence and deliver enterprise-grade AI automation without compromising accuracy or compliance.