California’s MENLO PARK — The intelligent data stack automation platform Numbers Station announced a USD 12.5 million round of investments. An investment round spearheaded by Madrona and included Norwest Venture Partners, Factory, and well-known angel investors, including Cloudera Co-Founder Jeff Hammerbacher. The fundraising brings the total amount received to USD 17.5 million and follows a previous USD 5 million seed round. Numbers Station uses foundation model technology, developed at the Stanford AI lab, to empower all data workers to get insights quickly by automating time-consuming data tasks, beginning with data transformation activities.
“Foundation models, particularly in language, images, and code creation, have shown to be tremendously influential in democratizing access to AI. We at Numbers Station have developed cutting-edge technology that enables foundation model power in the contemporary data stack, enabling data analytics teams to automate laborious data work and obtain the data they want when required. Finally, Numbers Station eliminates the need for coding or AI knowledge by enabling any data or domain expert to gain insights from their chaotic, siloed, quick, and most detailed data through natural language interactions with intelligent foundation models. Chris Aberger, Ph.D. co-founder and CEO of Number Station, said, “This is only the beginning of self-service data stack automation to enable enterprises to develop insights at the pace of business.
Numbers Station allows all information workers to use AI to modify data for anything from the most straightforward data jobs, like formatting, to the most difficult, like entity resolution or extraction. With Numbers Station, data workers can quickly connect to their data warehouse, prototype intelligent data transformations using a conversational interface supported by exclusive foundation model technology, and then deploy their pipelines back into the data warehouse. Customers may use these new automated pipelines for business use cases involving any department managing intensive analytics.
Numbers Station frees data engineers from never-ending backlogs of requests. It closes costly communication gaps between data teams by enabling anybody to safely automate data-intensive activities on the contemporary data stack. Numbers Station’s early users are using it across departments, from managing user and customer data for marketing and customer success to enhancing product and financial analytics transparency. Enterprises can obtain these insights quickly — in hours, not months — and swiftly communicate them with decision-makers because of the team’s powerful proprietary foundation model technology.
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