Nex AI — an analytics platform that extracts structured data
Screenshot of Nex AI

Nex AI

Nex AI is an analytics platform that extracts structured data from emails and connects to your ERPs, CRMs, and automations via API.

Screenshot

What is Nex AI?

Nex AI builds AI-powered analytics solutions for businesses. The company combines analytics, language understanding, and machine learning to help organizations work more efficiently, with custom AI applications built for a range of industries.

Who created Nex AI?

Nex AI was founded by Theresana Iforit. The company provides analytics solutions including Developer APIs for technical teams and an email analytics console within Nex, and is supported by Nvidia Inception.

What is Nex AI used for?

Nex AI’s core use case is extracting structured data from emails:

  • Pull key information such as SKUs, orders, and complaints directly from emails.
  • Identify missed revenue by analyzing customer emails.
  • Speed up sales outreach by quickly understanding prospect profiles.
  • Reduce the cost of discovering data hidden in attachments.
  • Upload emails in bulk, including those with attachments, and get structured data back.
  • Match processed emails with your existing ERPs, CRMs, and other automations through the API.
  • Build custom internal tools for your organization using the Nex API.
  • Make forecasts based on the metadata found in emails.
  • Standardize data formats to support automated processes.

Who is Nex AI for?

Nex AI is useful for data analysts, software developers, marketing strategists, business consultants, financial analysts, HR managers, project managers, customer service representatives, supply chain managers, and research scientists.

Getting started with Nex AI

Nex AI is designed to be adopted gradually: start by experimenting with the email analytics console, upload and analyze emails (including attachments), then integrate the API with your internal ERPs, CRMs, and automations as needed. Developer APIs are available for technical teams that want to build custom internal tools on top of the platform.

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