Meesho Open-Sources BharatMLStack to Power India’s Next Generation of AI Startups

India’s AI startup scene just got a big boost. Meesho, one of the country’s most active digital commerce platforms, has just released something it’s been quietly building for years: BharatMLStack—a set of internal tools that handle its massive real-time machine learning operations. And here’s the best part: it’s 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 predictions—for free.

What Exactly Is BharatMLStack?

Think of BharatMLStack as the toolkit behind Meesho’s AI engine—used to run personalisation, fraud detection, pricing models, and more. These tools were built in-house to handle real-time machine learning at scale. Now, they’re on GitHub for anyone to use.

Here’s what’s inside:

These aren’t 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?

Let’s be honest—building AI infrastructure is hard. It takes time, money, and lots of trial and error. Most startups don’t have that kind of runway.

That’s why Meesho’s decision to open up its production-grade stack is so important. Here’s 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 it’s fraud detection, churn prediction, or pricing models, you can focus on your models—not managing data pipelines.

2. Built for Real-Time

Most off-the-shelf open-source tools weren’t made with real-time systems in mind. BharatMLStack was. It's designed to handle billions of feature lookups and real-time predictions. That’s 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 India’s Scale

Meesho didn’t build BharatMLStack for theory—it 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

Let’s take a quick look at how Meesho used BharatMLStack during its March 2025 Mega Blockbuster Sale:

That’s the same infrastructure that’s now public.

Who Can Use This Stack?

If you’re building anything that uses data to make decisions in real-time, this release is for you.

Read also: Nothing Phone (3) with Snapdragon 8s Gen 4 & All-50MP Cameras: India Launch Highlights

What’s 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 contributions—so if you’re someone who loves building tools for scale, this could be your chance to make a mark.

Why Now? A Strategic Move After Meesho’s Reverse Flip

This launch also comes right after Meesho completed its reverse flip back to India—moving 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 you’re curious about trying out BharatMLStack, here’s a quick starter path:

1. Go to the GitHub repo and check out the docs
   
   

2. Set up the feature store locally using your own dataset
   
   

3. Run the sample workflows for a pricing or fraud detection model
   
   

4. Plug into your existing ML pipeline or app backend
   
   

5. Give feedback or contribute new modules—Meesho is listening
   
   

Key Takeaways

• BharatMLStack is now open-source: Meesho’s internal AI stack is public for developers and startups
  
  

• It’s built for scale: Used in production for 3 trillion+ predictions and massive sales events
  
  

• It’s made for real-time use: Perfect for fraud detection, personalisation, and pricing
  
  

• It’s 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 isn’t just releasing code—it’s 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 that’s a massive win for India’s developer and startup ecosystem.

If you’ve ever wanted to build serious AI without breaking your brain—or your budget—this might be your moment.