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Ponder
Developer of enterprise-ready data engineering tools
- 1-20 employees
- B2B
- Enterprise
- API
- Data Integration
- Data Analysis
- East San Mateo, San Mateo, CA
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Company mission
To improve data science productivity by empowering users to do data science at all scales.
Our take
Data engineering is essential for enterprises to conduct research and produce analytics, processes that are usually conducted through programming languages such as Python and libraries such as Pandas. However, despite the power of these data engineering tools, their functionality depends on a predetermined scale, something that can become problematic within the data infrastructure of a growing enterprise.
Ponder develops enterprise-ready data engineering tools that integrate directly with the Pandas API, bringing increased scalability to the library to help businesses to analyze, transform, validate and represent data of any scale. In addition to such flexibility, the software also facilitates efficient and interactive analytic workflows, automatically generated data visualizations, and cross-platform infrastructure.
Whilst data engineering teams often rely on the Pandas library, Ponder has recognized that the out-of-memory errors and slow single-threaded execution associated with the library’s lack of scalability present significant room for improvement. Through its flexible approach to scalability and its augmented portfolio of features, the company claims that it can save data engineers valuable coding time whilst improving data validity and activation efficiency.
Freddie
Company Specialist at Welcome to the Jungle
Funding (1 round)
Mar 2022
$7m
SEED
Total funding: $7m
This company has top investors
Leadership
Doris Lee
(CEO)Experience as Research Intern for IBM. Graduate Research Assistant for University of California from 2019 to 2021.
Devin Petersohn
(CTO)Machine Learning Engineer for Inter Corporation from 2020 to 2021. PhD Graduate Student from University of California.
Aditya Parameswaran
(President)Experience as Postdoctoral Data Engineering Researcher at Massachusetts Institute of Technology. Professor at the University of California since 2019.
Diversity, Equity & Inclusion at Ponder
- At Ponder, we don’t all look alike. We celebrate diversity across all backgrounds, skill sets, cultures, and experiences. We are building a remote-first team that offers flexible family-friendly, work-from-anywhere arrangements. We offer a competitive salary and equity package, benefits plan, and unlimited PTO. We are committed to supporting the personal and career growth of everyone at the company. Join us to shape the future of data science!
- Ponder is an Equal Opportunity Employer and we are committed to diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodation for individuals with disabilities