DataGPT, a California-based startup working to simplify how enterprises consume insights from their data, came out of stealth today with the launch of its new AI Analyst, a conversational chatbot that helps teams understand the what and why of their datasets by communicating in natural language.
Available starting today, the AI tool combines the creative, comprehension-rich side of a self-hosted large language model with the logic and reasoning of DataGPT’s proprietary analytics engine, executing millions of queries and calculations to determine the most relevant and impactful insights. This includes almost everything, right from how something is impacting the business revenue to why that thing happened in the first place.
“We are committed to empowering anyone, in any company, to talk directly to their data,” Arina Curtis, CEO and co-founder of DataGPT, said in a statement. “Our DataGPT software, rooted in conversational AI data analysis, not only delivers instant, analyst-grade results but provides a seamless, user-friendly experience that bridges the gap between rigid reports and informed decision making.”
However, it will be interesting to see how DataGPT stands out in the market. Over the past year, a number of data ecosystem players, including data platform vendors and business intelligence (BI) companies, have made their generative AI play to make consumption of insights easier for users. Most data storage, connection, warehouse/lakehouse and processing/analysis companies are now moving to allow customers to talk with their data using generative AI.