Meesho Open-Sources BharatMLStack, Boosting India's AI Ecosystem
Meesho, a leading Indian e-commerce platform, has made a significant contribution to the country's AI ecosystem. The company has open-sourced key components of its internal machine learning platform, BharatMLStack, on GitHub. This move is unprecedented in scale among Indian e-commerce players.
BharatMLStack was developed over the past two to three years to support a wide range of real-time machine learning applications across Meesho's systems. It has been rigorously tested, including during the March 2025 Mega Blockbuster Sale, where it performed well under high-traffic conditions.
The open-source release begins with the Online Feature Store, a tool that serves precomputed features to ML models in real time. In fiscal year 2025, BharatMLStack processed an average of 1.91 petabytes of data per day, executed 66.9 trillion feature retrievals, and enabled 3.12 trillion real-time inferences during peak loads. The open-sourced components include a production-grade feature store, control plane, orchestration UI, and SDKs.
Meesho is not seeking to monetize this release. Instead, the company aims to collaborate, gather feedback, and crowdsource improvements. This is a notable departure from recent industry trends, where similar releases are scarce. Meesho's goal is to equip India's AI and data science community with scalable and financially sustainable tools.
Meesho's open-source release of BharatMLStack is a significant step forward for India's AI ecosystem. The platform's robust performance and wide range of features make it a valuable resource for the community. With additional components planned for release in the coming months, Meesho is poised to continue its impact on the AI landscape.
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