As enterprise data volumes explode and AI pipelines strain modern infrastructure, the open Lakehouse architecture has emerged as the new standard for analytics at scale. But while formats like Delta Lake, Apache Iceberg, and Apache Hudi are powerful, they come with a hidden tax: up to 90% of compute resources are wasted scanning irrelevant data, according to Databricks. Today Qbeast, the next-generation data optimization platform, announces a $7.6 million seed round to fix that.

The seed round was led by Peak XV's Surge (formerly Sequoia Capital India), with participation from HWK Tech Investment and Elaia Partners. The new capital will fund team expansion, broaden product support across more analytics use cases,, and double down on the company's mission to make open data platforms faster, simpler, and more cost-efficient.

Qbeast is a data infrastructure company transforming analytics performance for the Lakehouse era. Initiated with research conducted by our founding team at BSC, Qbeast blends cutting-edge academic innovation with practical industry expertise to deliver multi-dimensional indexing for modern open data platforms, including Delta Lake, Apache Iceberg and Apache Hudi. The company exists to make open Lakehouse platforms faster, cost efficient, and easier to use.