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VectorShift: No-code LLM workflow builder

We let you design, integrate, and deploy internal LLM tools in minutes

VectorShift is a no-code platform that lets teams quickly create AI workflows. Enterprises use us to build internal tools to generate marketing copy, proposals, and RFP responses. Startup teams use us to automate workflows such as writing personalized emails and deploying chatbots.

Introduction

This is Alex Leonardi and Albert Mao - we studied CS and statistics together at Harvard and previously, we grew a business >200% Y/Y to 7 figures as CEO and CRO. During that time, we realized that our sales reps were spending more than half their time 1) writing proposals, 2) writing personalized outreach emails, and 3) researching prospects. If we could automate these workflows, we would be able to reach more leads and grow faster!

However, there was no way to build these custom generative AI workflows at scale, meaning that we had to build all of our tooling from scratch. That's why we built VectorShift - it is what we wished we had when running our previous business.

VectorShift Platform

Our platform’s core features include:

  • Pipeline Builder: Connect different nodes like LLMs, data loaders, vector databases, and more.
  • File Handling: Pass files as inputs and save them as outputs while using pipeline nodes to parse their meaning.
  • Deployment Acceleration: A marketplace of pre-built workflows, easily customizable for your needs.
  • Reusable Components: Use previous pipelines as nodes in new ones, allowing quick reuse of existing functionality.
  • Chatbot Creation: Convert any pipeline into a Chatbot with just a few clicks.
  • API Integration: Run pipelines and chatbots easily with API calls.
  • Public Marketplace: Run pipelines that other users have already refined, and publish your own pipelines for others to use.

Our pipeline builder allows the user to quickly connect different components needed in a generative AI workflow. For example, sales reps use VectorShift to replicate the logic they use to write account proposals and reclaim hours of time every day.

In addition to providing the building blocks of building any generative AI workflow, we further accelerate the deployment process by offering a marketplace of pre-built workflows. Want a pipeline that generates personalized emails? We already have one built for you to modify to your liking.

About Us:

Alex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously Private Equity Data Science Analyst at Blackstone, where he deployed AI/ML solutions for portfolio companies and helped establish Blackstone's perspectives and capabilities surrounding Generative AI.

Albert Mao: BA in Statistics at Harvard. Albert worked at McKinsey where he helped Fortune 500 organizations digitally transform along with revamping the GTM motions and products of multiple enterprise software companies.

The Ask: