
DataChat is a no-code, conversational analytics platform that empowers users to gain insights from their data without needing technical skills. Founded by Jignesh Patel and Rogers Jeffrey Leo John, the company leverages natural language processing to allow users to ask questions and receive instant answers. With integrations to major data warehouses like Snowflake and Google BigQuery, DataChat automates data exploration and trend analysis, making it easier for business leaders to make informed decisions. The platform emphasizes transparency and collaboration, ensuring that all steps in the analysis process are documented and accessible to team members. DataChat has received early-stage investments from notable venture capital firms and continues to grow in the analytics space.

DataChat is a no-code, conversational analytics platform that empowers users to gain insights from their data without needing technical skills. Founded by Jignesh Patel and Rogers Jeffrey Leo John, the company leverages natural language processing to allow users to ask questions and receive instant answers. With integrations to major data warehouses like Snowflake and Google BigQuery, DataChat automates data exploration and trend analysis, making it easier for business leaders to make informed decisions. The platform emphasizes transparency and collaboration, ensuring that all steps in the analysis process are documented and accessible to team members. DataChat has received early-stage investments from notable venture capital firms and continues to grow in the analytics space.
Product: No-code conversational analytics platform (Conversational Intelligence®)
Founding: Founded 2017 by Jignesh Patel and Rogers Jeffrey Leo John
Headquarters: Madison, Wisconsin, United States
Funding: Total funding ~30.14M USD; Series A Sep 7, 2021 led by Redline Capital & Anthos Capital
Tech / Integrations: Natural language processing; integrates with Snowflake and Google BigQuery
Status: Company pages state it has been acquired by Mews
Business analytics / conversational BI—reducing reliance on technical teams for ad-hoc data queries and insights.
2017
Analytics / Software
Early non-dilutive funding supporting initial development.
Early institutional support identified by company materials.
4,000,000 USD
Company materials and vendor profile indicate an early-stage round in 2020 (~4M USD).
25,000,000 USD
Company materials and vendor profile indicate a Series A led by Redline Capital and Anthos Capital (late 2021).
“Backed by a mix of non-dilutive and venture sources including NSF SBIR, WARF, early-stage investors Celesta Capital and Nepenthe Capital, and a Series A led by Redline Capital and Anthos Capital.”