DataPad, a San Francisco, CA-based developer of agile data discovery for teams, raised $1.7m in seed funding.
Backers included Accel Partners, Google Ventures, a 16z Seed Fund, SV Angel, Ludlow Ventures, and angel investors Jeff Hammerbacher, Tom Pinckney, and Waikit Lau.
Led by CEO Wes McKinney, creator of the open source Pandas data analytics library and best-selling author of Python for Data Analysis, and Chang She, system architect and core developer of Pandas, DataPad came out of stealth today to unveil its data visualization and collaboration tool for professionals in small and medium businesses to collaborate around data, from anywhere and on any device. It provides data integration, data discovery, and reporting.
Commenting on the news, CEO Wes McKinney, said: “Others announce funding like it’s news, we are announcing what we’ve done with our money. So starting at DataBeat, people who want to know what we’re up to can join our expanded beta and see for themselves“.
To receive an invitation to the DataPad expanded beta, visit the company’s site http://www.datapad.io