Vellum is coming to the AI Engineering World's Fair in SF. Come visit our booth and get a live demo!

Announcing our seed round

We've raised $5m to double down on our mission to help companies build production use cases of LLMs

Written by
Reviewed by
No items found.

Hey everyone👋,

We’re thrilled to share that we’ve raised a $5m seed round! 🎉 We're incredibly thankful to have support from Y Combinator, Rebel Fund, Pioneer Fund, Eastlink Capital and notable angels like Arash Ferdowsi (co-founder of Dropbox), Dharmesh Shah (co-founder of Hubspot) and Divya Bhat (former YC group partner, 2x CEO). You can get the full scoop on TechCrunch here.

When we announced Vellum 5 months ago, our idea was inspired by the pains we had personally felt while developing applications on LLMs since mid 2020. That background plus our experience in traditional ML Ops (Noa worked on the MLOps team at DataRobot and Sidd was on Quora’s ML Platform team) made us feel the need to have similar tooling for the LLM space. We had spoken to about 50 people while narrowing in on the idea, and now 5 months on, we’ve onboarded more than 50 paying customers to our platform.

We’ve learnt so much from our customers. Our Test Suites and Search launches were inspired by what our customers wanted and we enjoy building the platform to further improve their LLM development processes. We recently started featuring customer success stories (Encore increased eng productivity by 3x when working with LLMs) and will be sharing more in the coming weeks.

The Generative AI industry is evolving rapidly (new models from Anthropic, OpenAI, Inflection AI, Google, Mosaic etc.) and this is just the beginning; over time there will be widespread adoption of AI in companies around the world and we intend to be there to enable it.

While our platform has evolved significantly over the last few quarters, our mission remains the same: help companies build production use cases with Large Language Models. We’re excited to use this funding to double down on this mission.

Thank you so much for believing in us in the early days. Please don’t hesitate to reach out to us at founders@vellum.ai if you want to chat about anything!

Best,

Akash, Sidd & Noa 

P.S: If you haven't already, sign up for Vellum here

ABOUT THE AUTHOR
Akash Sharma
Co-founder & CEO

Akash Sharma, CEO and co-founder at Vellum (YC W23) is enabling developers to easily start, develop and evaluate LLM powered apps. By talking to over 1,500 people at varying maturities of using LLMs in production, he has acquired a very unique understanding of the landscape, and is actively distilling his learnings with the broader LLM community. Before starting Vellum, Akash completed his undergrad at the University of California, Berkeley, then spent 5 years at McKinsey's Silicon Valley Office.

ABOUT THE reviewer

No items found.
lAST UPDATED
Jul 13, 2023
share post
Expert verified
Related Posts
Guides
October 21, 2025
15 min
AI transformation playbook
LLM basics
October 20, 2025
8 min
The Top Enterprise AI Automation Platforms (Guide)
LLM basics
October 10, 2025
7 min
The Best AI Workflow Builders for Automating Business Processes
LLM basics
October 7, 2025
8 min
The Complete Guide to No‑Code AI Workflow Automation Tools
All
October 6, 2025
6 min
OpenAI's Agent Builder Explained
Product Updates
October 1, 2025
7
Vellum Product Update | September
The Best AI Tips — Direct To Your Inbox

Latest AI news, tips, and techniques

Specific tips for Your AI use cases

No spam

Oops! Something went wrong while submitting the form.

Each issue is packed with valuable resources, tools, and insights that help us stay ahead in AI development. We've discovered strategies and frameworks that boosted our efficiency by 30%, making it a must-read for anyone in the field.

Marina Trajkovska
Head of Engineering

This is just a great newsletter. The content is so helpful, even when I’m busy I read them.

Jeremy Hicks
Solutions Architect

Experiment, Evaluate, Deploy, Repeat.

AI development doesn’t end once you've defined your system. Learn how Vellum helps you manage the entire AI development lifecycle.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Build AI agents in minutes with Vellum
Build agents that take on the busywork and free up hundreds of hours. No coding needed, just start creating.

General CTA component, Use {{general-cta}}

Build AI agents in minutes with Vellum
Build agents that take on the busywork and free up hundreds of hours. No coding needed, just start creating.

General CTA component  [For enterprise], Use {{general-cta-enterprise}}

The best AI agent platform for enterprises
Production-grade rigor in one platform: prompt builder, agent sandbox, and built-in evals and monitoring so your whole org can go AI native.

[Dynamic] Ebook CTA component using the Ebook CMS filtered by name of ebook.
Use {{ebook-cta}} and add a Ebook reference in the article

Thank you!
Your submission has been received!
Oops! Something went wrong while submitting the form.
Button Text

LLM leaderboard CTA component. Use {{llm-cta}}

Check our LLM leaderboard
Compare all open-source and proprietary model across different tasks like coding, math, reasoning and others.

Case study CTA component (ROI)

40% cost reduction on AI investment
Learn how Drata’s team uses Vellum and moves fast with AI initiatives, without sacrificing accuracy and security.

Case study CTA component (cutting eng overhead) = {{coursemojo-cta}}

6+ months on engineering time saved
Learn how CourseMojo uses Vellum to enable their domain experts to collaborate on AI initiatives, reaching 10x of business growth without expanding the engineering team.

Case study CTA component (Time to value) = {{time-cta}}

100x faster time to deployment for AI agents
See how RelyHealth uses Vellum to deliver hundreds of custom healthcare agents with the speed customers expect and the reliability healthcare demands.

[Dynamic] Guide CTA component using Blog Post CMS, filtering on Guides’ names

100x faster time to deployment for AI agents
See how RelyHealth uses Vellum to deliver hundreds of custom healthcare agents with the speed customers expect and the reliability healthcare demands.
New CTA
Sorts the trigger and email categories

Dynamic template box for healthcare, Use {{healthcare}}

Start with some of these healthcare examples

Prior authorization navigator
Automate the prior authorization process for medical claims.
Clinical trial matchmaker
Match patients to relevant clinical trials based on EHR.

Dynamic template box for insurance, Use {{insurance}}

Start with some of these insurance examples

Agent that summarizes lengthy reports (PDF -> Summary)
Summarize all kinds of PDFs into easily digestible summaries.
AI agent for claims review
Review healthcare claims, detect anomalies and benchmark pricing.
Insurance claims automation agent
Collect and analyze claim information, assess risk and verify policy details.

Dynamic template box for eCommerce, Use {{ecommerce}}

Start with some of these eCommerce examples

E-commerce shopping agent
Check order status, manage shopping carts and process returns.

Dynamic template box for Marketing, Use {{marketing}}

Start with some of these marketing examples

ReAct agent for web search and page scraping
Gather information from the internet and provide responses with embedded citations.
LinkedIn Content Planning Agent
Create a 30-day Linkedin content plan based on your goals and target audience.

Dynamic template box for Sales, Use {{sales}}

Start with some of these sales examples

Research agent for sales demos
Company research based on Linkedin and public data as a prep for sales demo.

Dynamic template box for Legal, Use {{legal}}

Start with some of these legal examples

AI legal research agent
Comprehensive legal research memo based on research question, jurisdiction and date range.
Legal document processing agent
Process long and complex legal documents and generate legal research memorandum.

Dynamic template box for Supply Chain/Logistics, Use {{supply}}

Start with some of these supply chain examples

Risk assessment agent for supply chain operations
Comprehensive risk assessment for suppliers based on various data inputs.

Dynamic template box for Edtech, Use {{edtech}}

Start with some of these edtech examples

Turn LinkedIn Posts into Articles and Push to Notion
Convert your best Linkedin posts into long form content.

Dynamic template box for Compliance, Use {{compliance}}

Start with some of these compliance examples

No items found.

Dynamic template box for Customer Support, Use {{customer}}

Start with some of these customer support examples

Q&A RAG Chatbot with Cohere reranking
Trust Center RAG Chatbot
Read from a vector database, and instantly answer questions about your security policies.

Template box, 2 random templates, Use {{templates}}

Start with some of these agents

Synthetic Dataset Generator
Generate a synthetic dataset for testing your AI engineered logic.
Legal document processing agent
Process long and complex legal documents and generate legal research memorandum.

Template box, 6 random templates, Use {{templates-plus}}

Build AI agents in minutes

Insurance claims automation agent
Collect and analyze claim information, assess risk and verify policy details.
LinkedIn Content Planning Agent
Create a 30-day Linkedin content plan based on your goals and target audience.
ReAct agent for web search and page scraping
Gather information from the internet and provide responses with embedded citations.
Financial Statement Review Workflow
Extract and review financial statements and their corresponding footnotes from SEC 10-K filings.
SOAP Note Generation Agent
Extract subjective and objective info, assess and output a treatment plan.
E-commerce shopping agent
Check order status, manage shopping carts and process returns.

Build AI agents in minutes for

{{industry_name}}

Clinical trial matchmaker
Match patients to relevant clinical trials based on EHR.
Prior authorization navigator
Automate the prior authorization process for medical claims.
Population health insights reporter
Combine healthcare sources and structure data for population health management.
Legal document processing agent
Process long and complex legal documents and generate legal research memorandum.
Legal contract review AI agent
Asses legal contracts and check for required classes, asses risk and generate report.
Legal RAG chatbot
Chatbot that provides answers based on user queries and legal documents.

Case study results overview (usually added at top of case study)

What we did:

1-click

This is some text inside of a div block.

28,000+

Separate vector databases managed per tenant.

100+

Real-world eval tests run before every release.