Ponder Data, Inc., a Berkeley, CA-based data science startup born out of UC Berkeley, raised $7m in seed funding.
Lightspeed Venture Partners led the round with Intel Capital, 8VC, and The House Fund participating.
The company intends to use the funds to develop scalable, enterprise-ready and easy-to-use machine learning and analytics tools.
Led by Doris Lee, CEO, and Devin Petersohn, CTO, Ponder Data provides enterprise-ready tools for rapid, flexible experimentation with data at scale. The company commercializes open-source tools, Modin and Lux.
Modin is a scalable “drop-in replacement” for pandas*, meaning that data scientists can scale up to large datasets, without the users having to change a single line of code. Lux, on the other hand, is a visualization tool for pandas that automatically identifies visual insights on large and complex datasets, once again without changing a single line of code. Ponder’s technology is used by 10 of the Fortune-100 companies and across sectors, ranging from pharmaceutical companies like Bristol Myers Squibb and GSK, to technology companies like Intel and VMware, to automotive companies like Ford and Tesla. The open-source tools have been downloaded over 2.5M times.
Data science teams—including 10 Fortune 100 companies—leverage Ponder’s technology to accelerate their data science workloads.
FinSMEs
09/03/2022
* Pandas is a Python library widely regarded as the most popular tool in data science, used by millions of data scientists to prepare, transform, and analyze data in machine learning workflows.