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DataChat

Conversational AI for analytics

DataChat logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Big data
  • Analytics
  • SaaS
Midvale Heights, Madison, WI

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Company mission

To make data and analytics more accessible by allowing teams to use our Guided English Language instead of traditional data science tools to gain insights from their data.

Our take

Nowadays, it is easy for companies to collect vast amount of data, but a key issue is how to turn this data into decisions. Complex machine learning systems, though effective, can be out of reach for many, so they still rely on non-sophisticated and slow analytical methods. DataChat’s all-in-one platform allows users to answer complex analytical methods, with AI fuelled by conversation using controlled natural language.

DataChat’s approach to sophisticated analytics is novel amongst the tools currently available in the market. Its solution stands out for its simplicity and accessibility, as conversation as a tool is available for all sizes of business and involves little training. The company also takes a customer-centric approach, working alongside its clients towards product success.

DataChat has close ties to the University of Wisconsin and is supported by the Wisconsin Alumni Research Foundation. Its product has been well-received by businesses, and DataChat has received substantial funding which will allow it to accelerate its product roadmap and growth strategy.

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Kirsty

Company Specialist at Welcome to the Jungle

Funding (last 2 of 4 rounds)

Sep 2021

$25m

SERIES A

Oct 2020

$4m

SEED

Total funding: $30.2m

Leadership

Jignesh Patel

(CEO)

Professor at the University of Wisconsin-Madison, and Member of the Board of Directors at Lands' End. Former Chief Scientist at Pivotal Software. Previously co-founded Quickstep Technologies and Locomatix.

Rogers Jeffrey Leo John

(Research Scientist)

Former Research Assistant at the University of Wisconsin-Madison. Previously a Staff Research Associate at the Center for Computational Learning Systems at Columbia University, with experience in Software Engeineering.