A Team with a Passion for Innovation & Customer Success
DataChat is built in the Midwest, but based everywhere. Headquartered in Madison, Wisconsin, DataChat’s stellar team brings together deep academic roots, rich entrepreneurial success, and industry know-how to make analytics and data science available to everyone.
Our Vision
Today the vision of DataChat is to build on the research of our co-founders 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 History
DataChat was founded by Jignesh Patel and Rogers Jeffrey Leo John based on research they began at the University of Wisconsin-Madison. Their work focused on using natural language to create data science pipelines.
Our Funding
The UW founders funded early development with investment from America’s Seed Fund in the form of Small Business Innovation Research (SBIR) grants from the National Science Foundation.
The Wisconsin Alumni Research Foundation (WARF) was also an early investor in the Company. In 2020, DataChat raised an early stage investment round that was led by Silicon Valley venture capital firms Celesta Capital (formerly WRVI Capital) and Nepenthe Capital as well as individuals from Google and Palo Alto Networks.
DataChat’s Series A round in late 2021 was led by Redline Capital and Anthos Capital with participation from the existing institutional investors.
Recent Blog Posts and News
Read the latest from DataChat.
Leadership
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Jignesh Patel
CEO & Co-founder
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Rogers Jeffrey Leo John
Innovation Lead & Co-founder
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Robert Claus
Chief Technology Officer
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Amos Kendall
Director of Product
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Kamal Sekhon
Senior Director, Business Development
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Laura Strong
VP Strategy & Healthcare
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Harrison Warren
Customer Success Lead
Our Team
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Alex Restifo
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Ashutosh Bakre
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Austin Jiang
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Bethany Schmeling
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Deepan Das
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Donald Conway
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Dustin Gallo
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Elias Wilz
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Ethan Gabrielse
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Geoffrey Hagberg
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Jack Strosahl
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Jiatong LI
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Junda Chen
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Kou Wang
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Madeline Bushbeck
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Munazza Mehroze
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Nate Goethel
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Nick Bell
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Prithvi Daniel Undavalli
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Rui Huang
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Spandana Muttavarapu
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Sulong Zhou
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Tyler Boddy Spargo
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U.D. Gupta
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Ushmal Ramesh
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Varun Sreenivasan
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Xiaoyu Liu
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Yukiko Suzuki
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Zach Mathe
Advisors

Chris Ré
Advisor / Professor @ Stanford / MacArthur Fellow
Chris is an associate professor in Computer Science at Stanford University. Research from his group has been incorporated into humanitarian efforts, such as the fight against human trafficking.
He has also co-founded four companies: SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice in 2017 and Inductiv in 2020. He has won several awards including the MacArthur Foundation Fellowship in 2015, and best paper awards in both database and machine learning conferences.

David DeWitt
Advisor / Professor @ MIT / NAE Member
David has pioneered many of the parallel database technologies that power today’s parallel, distributed and cloud database platforms, while he was a professor at Wisconsin, where he also held the John P. Morgridge Chair. He was also a Technical Fellow at Microsoft, and is currently at MIT.
He is a member of the National Academy of Engineering and Fellow of the ACM, and has won several awards including the ACM SIGMOD Edgar F. Codd Innovations Award, the AM ACM Software System Award, and the IEEE Emanuel R. Piore Award, all for his seminal contributions to the field of database systems.

Samuel Madden
Advisor / Professor @ MIT / Sloan Fellow
Sam is a professor at MIT where he co-directs the Data Systems for AI Lab (DSAIL), an industry-backed initiative to unite researchers at MIT and leaders from industry to investigate the issues related to systems and algorithms for data that is high rate, massive, or very complex.
He is the recipient of numerous awards including a Sloan Foundation Fellowship, best paper and test-of-time awards in premier database conferences including VLDB and SIGMOD.

Sharon Yixuan Li
Advisor / Professor @ UW-Madison
Sharon is an Assistant Professor at the University of Wisconsin where her research interests include deep learning and machine learning.
She completed her Ph.D. at Cornell and a post-doc at Stanford. She is the recipient of the Facebook Research Award, JPMorgan early-career faculty award, and was named to Forbes' 30 Under 30 in Science.
Investors





