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VectorShift

AI Automations Platform

VectorShift is an AI automations platform. Teams leverage AI through VectorShift’s no-code or SDK interfaces to search through knowledge bases, generate documents, and deploy chatbots and assistants. The no-code platform gives end-users an interface to access pre-built workflows for end use cases (e.g., responding to RFPs, writing proposals, writing account plans) while letting them customize and build new ones with drag and drop components.

VectorShift
Founded:2023
Team Size:6
Location:

Active Founders

Alexander Leonardi

CEO at VectorShift. Previously Private Equity Data Science Analyst at Blackstone, where he evaluated private equity transactions, deployed AI/ML solutions for portfolio companies, and helped establish Blackstone's perspectives and capabilities surrounding Generative AI. AB/SM in Statistics & Computer Science from Harvard. Grew the Harvard College Consulting Group >200% YoY to >$1m annual revenue as CEO.

Alexander Leonardi
Alexander Leonardi
VectorShift

Albert Mao

COO at VectorShift. Former Tech GTM / product consultant at McKinsey. Studied Statistics at Harvard '21. Grew the Harvard College Consulting Group >200% Y/Y to >$1M Revenue as the CRO.

Albert Mao
Albert Mao
VectorShift

Company Launches

VectorShift is an AI automation platform. Teams leverage AI through VectorShift’s no-code interface or Python SDK to search through knowledge bases, generate documents, and deploy chatbots and assistants. We give all organizations the ability to build enterprise-grade AI applications.

VectorShift Platform

Through drag-and-drop components, our no-code builder allows you to:

  • Connect different nodes like LLMs, data loaders, vector databases, and more.
  • Create a knowledge base of your data (e.g., CRM, Notion database, files) or live sync with your data sources to leverage within AI pipelines.
  • Create automations that trigger the running of pipelines (e.g., Slack message / Email) and allow pipelines to perform actions (e.g., write a notion document).
  • Deploy your pipeline through a chat interface with just a few clicks. Share chat assistants internally, or export to end-users via URL, WhatsApp / SMS, or API.

What are real examples of companies using VectorShift in production?

  • A startup uses 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 sales 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…

To name a few: document analysis, scoring resumes, drafting patents and legal documents, and automatically sending personalized outbound emails.

Python SDK Launch

In building our initial product line, users requested a way to interface with our platform through code, so we’ve built a Python SDK for working with our various product lines. Now, you can access functionality present in our no-code platform directly through your IDE. Using the SDK, you can:

  • Fetch, edit, save, and run your pipelines and chatbots. Run your AI workflows and use your preferred version-control system to work with your VectorShift-managed AI pipelines in code.
  • Load and query your vector stores, and add new indices to index your data.
  • Work with any connected integrations, like Notion, OneDrive, Slack, etc.

Any changes you save through the SDK will automatically update in the no-code platform so you can enjoy complete interoperability between the two interfaces. You can view the documentation for our SDK here: https://docs.vectorshift.ai/vectorshift/developers/sdk/getting-started

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:

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