Chennai: Ponder.io, a data science startup by researchers at University of California, Berkeley, is working with early adopters on turning its open source project–a tool to help data science teams work with large data sets– into a product by early next year, its president Aditya Parameswaran told ET.
Downloads of Ponder’s open source projects Modin and Lux, a data visualization tool that can help with insight discovery, anomaly detection and more, have reached close to three million, said Parameswaran. “The early customers are helping us figure the features to be needed for the product,” he said. Ponder is working with customers in financial technologies, Artificial Intelligence, and electronic health records to build its first product.
Downloads of Ponder’s open source projects Modin and Lux, a data visualization tool that can help with insight discovery, anomaly detection and more, have reached close to three million, said Parameswaran. “The early customers are helping us figure the features to be needed for the product,” he said. Ponder is working with customers in financial technologies, Artificial Intelligence, and electronic health records to build its first product.
Ponder’s Open Source project centered around a data science tool called Pandas, which help data scientists process datasets. With the inability of utilizing Pandas on large sets, data science teams have had to spend months on rewriting workloads. Ponder’s first project Modin allows teams to make teams use Pandas for larger sets. Ponder’s open source projects have been used by GSK, Tesla, Ford and other large corporations.
Born out of UC Berkeley’s RISELabs–the birthplace of other successful startups like Databricks and Anyscale, Ponder raised $7 million in seed funding from Lightspeed Ventures Partners, Intel Capital, and 8VC.
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