Indias AI startup scene just got a big boost. Meesho, one of the countrys most active digital commerce platforms, has just released something its been quietly building for years: BharatMLStacka set of internal tools that handle its massive real-time machine learning operations. And heres the best part: its now open source.
That means Indian developers, small startups, and even college projects can now tap into the same tools Meesho uses to process 1.91 petabytes of data and serve over 3 trillion predictionsfor free.
What Exactly Is BharatMLStack?
Think of BharatMLStack as the toolkit behind Meeshos AI engineused to run personalisation, fraud detection, pricing models, and more. These tools were built in-house to handle real-time machine learning at scale. Now, theyre on GitHub for anyone to use.
Heres whats inside:
Component | What It Does |
Feature Store | Stores precomputed data points (called "features") to speed up ML models |
Orchestration Interface | Helps run and monitor ML workflows efficiently |
Control Plane | Manages model versions, deployments, and monitoring |
SDKs | Developer tools to plug ML features into apps |
These arent beta-stage experiments. These tools supported Meesho during high-traffic events like the Mega Blockbuster Sale in March 2025, handling millions of transactions with near-zero latency.
Why Does This Matter?
Lets be honestbuilding AI infrastructure is hard. It takes time, money, and lots of trial and error. Most startups dont have that kind of runway.
Thats why Meeshos decision to open up its production-grade stack is so important. Heres what it unlocks:
1. Less Time Spent on Infrastructure
Startups can now skip building the plumbing and jump straight into developing real use cases. Whether its fraud detection, churn prediction, or pricing models, you can focus on your modelsnot managing data pipelines.
2. Built for Real-Time
Most off-the-shelf open-source tools werent made with real-time systems in mind. BharatMLStack was. It's designed to handle billions of feature lookups and real-time predictions. Thats a huge deal for anyone building:
Instant credit scoring
Live recommendation engines
Flash-sale optimisation tools
Real-time logistics or delivery ETAs
3. Made for Indias Scale
Meesho didnt build BharatMLStack for theoryit built it to serve millions of users in Tier 2 and Tier 3 cities, often on unstable networks and low-powered phones. That makes it more aligned with India-first startups than global solutions that need heavy localisation.
Real Example: BharatMLStack During the 2025 Mega Sale
Lets take a quick look at how Meesho used BharatMLStack during its March 2025 Mega Blockbuster Sale:
Use Case | Impact |
Personalised feeds | Served in milliseconds based on real-time user behaviour |
Real-time fraud detection | Blocked suspicious activity as it happened |
Dynamic pricing adjustments | Updated pricing as inventory moved |
Logistics & ETA optimisation | Improved delivery estimates using live data |
Thats the same infrastructure thats now public.
Who Can Use This Stack?
If youre building anything that uses data to make decisions in real-time, this release is for you.
Who | Why This Helps |
Startup founders | Fast-track MVPs without building backend infra |
Data scientists & ML engineers | Train and serve models quickly using production-ready tools |
Product managers | Add AI features without reworking the entire system |
Students & open-source devs | Learn by working on real infra, not toy datasets |
Read also: Nothing Phone (3) with Snapdragon 8s Gen 4 & All-50MP Cameras: India Launch Highlights
Whats Live on GitHub?
Meesho has published:
The Feature Store the same tool it uses to store and serve features across teams
Control Plane APIs to manage model deployment and lifecycle
Workflow orchestration layer
Software Development Kits (SDKs)
Documentation + examples
More modules will be released in phases. Meesho is also inviting contributionsso if youre someone who loves building tools for scale, this could be your chance to make a mark.
Why Now? A Strategic Move After Meeshos Reverse Flip
This launch also comes right after Meesho completed its reverse flip back to Indiamoving its holding structure from the US to India, with the NCLT greenlighting the final step.
In plain words: Meesho is doubling down on being a tech-first company built in India, for India. Making BharatMLStack public shows it wants to bring the community along for the ride.
What Meesho Says
These tools helped us scale machine learning across Meesho. By sharing them, we want to make it easier for others to build fast, smart, AI-driven products. This is our way of giving back to the community.
Spokesperson, Meesho
How to Get Started
If youre curious about trying out BharatMLStack, heres a quick starter path:
Go to the GitHub repo and check out the docs
Set up the feature store locally using your own dataset
Run the sample workflows for a pricing or fraud detection model
Plug into your existing ML pipeline or app backend
Give feedback or contribute new modulesMeesho is listening
Key Takeaways
BharatMLStack is now open-source: Meeshos internal AI stack is public for developers and startups
Its built for scale: Used in production for 3 trillion+ predictions and massive sales events
Its made for real-time use: Perfect for fraud detection, personalisation, and pricing
Its built in India, for India: Works well with Indian user behaviour and data scales
More modules are coming: Feature store and orchestration tools are just the start
Final Thought
Meesho isnt just releasing codeits sharing battle-tested tools that can help every small team think and build like a big tech company. BharatMLStack lowers the entry barrier for AI infrastructure, and thats a massive win for Indias developer and startup ecosystem.
If youve ever wanted to build serious AI without breaking your brainor your budgetthis might be your moment.
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