Vellum provides an end-to-end platform that lets cross-functional teams define, test, deploy and monitor AI workflows through a visual UI and SDK. The platform couples workflow orchestration, evaluations, testing, deployment and live monitoring to help teams move models from prototype to production. Vellum is GA and emphasizes reliability, compliance, and observability, making it suited for highly regulated industries. Customers such as Drata, Swisscom, Redfin and Headspace use the platform for use cases from automated customer support to secure, compliance-ready workflows. The company reports Vellum customers achieve 10x faster time to market and cites broad enterprise demand where many organizations lack comprehensive AI strategies. Vellum is venture-backed and has received $24.5 million of funding to date. Vellum.ai builds tooling to improve generative AI prompting, born from founders' experience building production LLM applications. The product includes side-by-side model output comparison, company-specific data search to add context to prompts, testing, version control and fine-tuning/semantic search capabilities. The team—led by CEO and co-founder Akash Sharma with co-founders Noa Flaherty and Sidd Seethepalli—spun out of work at Dover and surfaced at Y Combinator’s Winter 2023 demo day. Vellum positions itself to help companies take LLM prototypes into production by preventing hallucinations and handling edge cases through refined prompts and prompt-chaining logic. The startup reports 40 paying customers and revenue growing roughly 25%–30% month-over-month, with pricing in the three- to four-figure-per-month range and a healthy seed-stage run rate. The founders argue the expanding enterprise demand for LLMs will drive continued need for prompt-engineering tooling.

Total raised

$25M

Funding rounds

2

Latest round

Series A

Latest activity

Jul 2025