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VectorShift: No-code generative AI platform

Build AI assistants and workflow automations in no-code

Albert Mao
VectorShift
 
https://www.vectorshift.ai
#no-code#generative_ai#infrastructure#developer_tools#artificial_intelligence

VectorShift is a no-code generative AI platform. Teams leverage AI through VectorShift’s no-code interface to search through knowledge bases, automate workflows, and deploy AI chatbots and assistants without needing to code or having knowledge about AI.

VectorShift Platform

Through drag-and-drop components, VectorShift’s no-code builder allows you to:

  • Use a flexible visual programming language to prototype, build, deploy, and manage LLM apps.
  • Allow AI workflows to leverage a knowledge base with your data (e.g., files, documents, website). Knowledge bases live-sync with data across your tools (e.g., Google Drive, OneDrive, Notion, etc.).
  • Define triggers that automatically run workflows (e.g., Slack message) and allow workflows to perform actions (e.g., write a notion document).

Hundreds of companies across healthcare, finance, technology, education, logistics, and professional services already use VectorShift in production. Here are some real-life examples:

  • Startups (including multiple YC startups!) use VectorShift to power the “backend” of their AI product features.
  • A European conglomerate uses VectorShift to automate report writing for clients.
  • A professional services firm for the US government uses VectorShift to automate RFP proposals and search through their contract library to answer queries.
  • A healthcare education company uses VectorShift to create a chatbot to answer patient questions leveraging their extensive knowledge base.
  • A large technology company built an internal support assistant to answer questions about employee policies

And much more…

Other use cases our customers have in production: document analysis at scale, scraping internet data, content creation, and automatically sending personalized outbound emails.

Chat / Assistant Interface Product Launch

In building our no-code builder, users requested a way to place interfaces on workflows so they can automate workflows end to end. Today, we are launching VectorShift’s assistant product!

Step 1: After building an AI workflow, place a chat / AI assistant-style interface in your workflow.

Step 2: Fully customize the interface with your branding to share chat assistants internally or export to end-users / clients via URL, iFrame, Whatsapp / SMS, API, or as a Slack bot.

Step 3: Manage your production app by viewing collected data and analytics.

About Us:

Alex Leonardi: BA/MS in Statistics & Computer Science from Harvard. Previously, he was a 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:

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