NxtGen’s ‘M’ — Democratizing AI with Open-Source Agentic Workflows

Artificial Intelligence has been evolving at lightning speed. A few years ago, we were excited about chatbots that could answer questions. Today, AI doesn’t just chat — it acts. It books tickets, manages schedules, summarises lengthy documents, and even integrates with enterprise tools to automate workflows. This shift is what experts call the rise of agentic AI — AI that goes beyond conversation and takes real-world action.

Now, India has entered this space with a bold step: NxtGen’s “M”, an open-source agentic AI platform designed to democratise access to advanced AI. Instead of relying only on closed, foreign-owned systems like ChatGPT or Gemini, “M” is built on open models, hosted on Indian infrastructure, and promises something bigger — AI that’s sovereign, scalable, and accessible to organisations of all sizes.

Imagine this: you ask an AI to not only recommend the best restaurant nearby but also reserve a table, split the bill, and send the calendar invite to your friends. That’s the kind of leap “M” is aiming for — AI as a true assistant, not just a smart talker.

In this blog, we’ll break down what NxtGen’s “M” really is, why it matters for India, how it works, its real-world applications, and the challenges it faces. Most importantly, we’ll explore whether “M” can truly make AI accessible to everyone — from startups in Bengaluru to government offices in Delhi.

NxtGen’s “M” — India’s open-source agentic AI revolution

What is NxtGen’s “M”?

When you first hear about NxtGen’s “M”, you might think it’s just another chatbot with a fancy name. But no — this isn’t your average “Hi, how can I help you?” assistant. “M” is being pitched as India’s first open-source agentic AI platform — which basically means it’s built to do real things, not just talk.

Think of it this way: a regular chatbot will tell you the best restaurants in your area. “M” wants to go a step further — it can actually book the table, check your calendar, and send invites to your friends. It’s like moving from a polite waiter who gives you recommendations to a full-blown event planner who gets stuff done.

Here’s what makes “M” stand out:

• It’s open-source. Unlike systems like ChatGPT or Gemini that are locked up in closed ecosystems, “M” is built on open models (like LLaMA 4 and DeepSeek). That gives developers more freedom to tweak and build on top of it.

• It’s action-oriented. Instead of stopping at answers, it’s designed to follow through with actions — booking, summarising, automating.

• It’s made for India. The platform runs on NxtGen’s own servers in India, so your data doesn’t fly off to another country. That’s a big win for privacy and compliance.

• It’s scalable. With serious hardware muscle (NVIDIA’s latest chips), it’s built to handle tasks a national scale.

• It speaks your language. India is multilingual, and so is “M”. It’s being developed to work in regional languages, not just English.

In short, “M” isn’t just another chatbot in the crowd — it’s India’s shot at creating an AI that is open, sovereign, and actually useful in daily life.

Why Is It Called “Agentic AI”?

If you’ve been following the AI space, you’ve probably noticed a new word popping up everywhere — agentic. It sounds a little heavy, but the meaning is actually straightforward. Traditional AI has mostly been about giving answers. You ask a question, it replies. End of interaction.

Agentic AI changes that equation. Instead of just talking, it is designed to act on your behalf. Think of it like the difference between Google Search and a personal assistant. Google will show you ten links when you search for “best vegetarian restaurant nearby”. An agentic AI will go further — it can book you a table at that restaurant, add the event to your calendar, and even message your friend to confirm dinner plans.

This ability to understand intent and execute tasks is what makes agentic AI so exciting. It moves AI from being a smart encyclopedia to being a genuine helper in daily life and work. That’s why NxtGen calls its platform “M” an agentic AI system — it’s meant to bridge the gap between ideas and actions, between what you want done and what actually gets done.

The Vision Behind “M”

Every new technology comes with a story, and “M” is no different. The vision here is bigger than just building another AI tool — it’s about democratizing AI in India.

For years, most of the advanced AI systems have been owned and controlled by global tech giants. They’re powerful, yes, but they’re also closed, expensive, and not always aligned with India’s priorities — especially when it comes to data privacy and accessibility. NxtGen is trying to flip that script with “M”.

At its core, “M” is built around three big ideas:

1. Openness – By choosing an open-source foundation, “M” invites collaboration. Startups, enterprises, researchers, even government bodies can build on top of it without worrying about being locked into a closed system.

2. Sovereignty – Data is power. Hosting “M” on Indian infrastructure ensures that sensitive information stays within the country. This is a big reassurance for organisations that handle critical or private data.

3. Accessibility – AI shouldn’t be a luxury that only large corporations can afford. NxtGen wants “M” to be scalable and affordable, so even smaller businesses, schools, or local governments can make use of it.

In other words, the vision behind “M” is to create an AI platform that feels like it truly belongs to India — serving local needs, supporting multiple languages, and encouraging innovation at every level.

Key Features of NxtGen’s “M”

Now that we know what “M” is aiming to be, let’s talk about what it actually offers. If I had to sum it up, “M” is built on three promises: it should be open, action-oriented, and made for India. Here’s what that looks like in practice.

1. It’s open-source. 

   This is a big deal. Most of the AI tools we use today — from ChatGPT to Gemini — are closed systems. You use them on their terms, in their environment. With “M,” developers and organisations have the freedom to peek under the hood, modify it, and build their own workflows. It’s like being given not just the car, but also the keys to the garage.

2. It doesn’t just talk, it acts. 

   This is where the “agentic” part comes in. Instead of stopping at answers, “M” can carry out tasks. For example, rather than only telling you the best dentist nearby, it can actually book the appointment, block your calendar, and send you a reminder. That’s a massive shift from “chatbot” to “assistant.”

3. It’s rooted in India. 

   All the data runs on NxtGen’s own servers in India. Why does that matter? Because data is sensitive, and many organisations — especially in healthcare, banking, or government — want it to stay within the country. With “M,” there’s less worry about data flying across borders.

4. It’s built for scale. 

   This isn’t some prototype sitting in a lab. “M” has been built with serious computing muscle, so whether a startup wants to experiment or a government wants to roll it out nationwide, it can handle the load.

5. It speaks our languages. 

   One of the pain points with AI today is that it still feels very English-first. “M” is being built to support multiple Indian languages, which makes it more practical for real users across the country.

6. It’s flexible for builders. 

   Think of “M” as Lego blocks. Businesses can plug in APIs, add tools, and create their own workflows. It’s not rigid — it’s designed to evolve with whoever is using it.

Real-World Use Cases of NxtGen’s “M”

The real test of any AI platform isn’t in its features, it’s in how it fits into daily life. With “M,” the focus is on bridging the gap between human intent and real-world action — and that opens up some very practical possibilities.

In everyday life, “M” could take over those small but time-consuming tasks we all deal with. Instead of browsing through food apps, you could simply tell it, “Order me a pizza from my usual place by 8 PM.” No more scrolling, no more checkout screens — the order is just done. The same goes for entertainment. Imagine wanting to watch a movie; instead of juggling apps to check showtimes and book tickets, “M” could quietly handle it in the background and send the QR code straight to your phone. Even managing schedules becomes easier. Rather than reminding you of a meeting, it could block the slot, send the invites, and make sure everyone’s updated.

The business world has its own set of pain points, and “M” is designed to chip away at those too. Lengthy reports and documents that normally take hours to digest could be summarised into a page of highlights. HR teams could lean on it for repetitive but essential tasks like screening resumes or sending onboarding mails. And for tech-heavy organisations, “M” even promises the ability to manage cloud services through simple instructions — a task that usually takes a specialised team.

Public services could also benefit enormously. In healthcare, “M” could help patients schedule appointments or receive reminders in their local language. In education, it could support teachers and students by simplifying admin tasks or making learning resources available in regional tongues. Even in government offices, where paperwork often slows everything down, “M” could streamline operations and reduce delays.

In short, the vision is that “M” won’t just live in labs or boardrooms. It’s meant to sit alongside us in our everyday routines — helping individuals, businesses, and institutions save time, cut effort, and work smarter.

Why Does “M” Matter for India?

Let’s be honest — most of the AI tools we use today don’t really belong to us. They’re powerful, yes, but they’re built in Silicon Valley or China, priced in dollars, and hosted on servers halfway across the world. We depend on them, but we don’t control them. That’s the gap NxtGen is trying to close with “M.”

The biggest reason this matters is data. Think about hospitals, banks, or even government offices — they handle some of the most sensitive information about us. Do we really want all of that sitting on foreign servers with rules we don’t get to write? With “M,” NxtGen is saying: our data stays here, in India, under our own roof. It’s about sovereignty, but also about trust.

Then there’s the question of access. AI today often feels like a luxury — something only giant corporations can afford to play with. But India is full of small businesses, schools, startups, and local institutions that need affordable, practical AI. Because “M” is open-source, it lowers the entry barrier. A small business in Jaipur could use it for customer service, or a regional college could build language-learning tools on top of it — without paying Silicon Valley prices.

And of course, we can’t forget language. AI tools that only speak English simply don’t work for most of India. We think, live, and express ourselves in Hindi, Tamil, Bengali, Marathi, and so many more. If AI doesn’t understand that, it can’t really serve the people it’s meant to help. “M” is being built to be multilingual by design, and that could be its biggest superpower in a country like ours.

So, why does “M” matter? Because it’s an attempt to build AI for India, in India, by India. And that shift — from consumer to creator — is what could make all the difference.

How Does “M” Compare to Other AI Platforms?

Whenever we hear about a new AI platform, the first instinct is to measure it against the usual suspects — ChatGPT, Gemini, Claude, maybe even Hugging Face. After all, those are the names we’ve all been using or at least hearing about for the past couple of years. So where does “M” fit in?

Let me put it simply: the global platforms are like luxury cars. They’re fast, sleek, and come with every feature under the sun — but they also come with a price tag, rules you can’t bend, and a manual that’s written in someone else’s language. “M,” on the other hand, is trying to be more like a vehicle you can actually take apart, customise, and run on your own roads. It’s open-source, which means you don’t just get to drive it, you get to tweak it, upgrade it, and even repaint it if you like.

Another difference is where it “lives.” Tools like ChatGPT or Gemini run on foreign servers. Your queries, your data, your interactions — they all fly across borders. With “M,” everything stays on Indian soil. That matters if you’re a hospital, a bank, or even a small startup worried about compliance and data security.

And then there’s the language bit. Most global AIs are still English-first, even if they’re trying to add other languages. “M” is starting from the ground up with India’s multilingual reality in mind. That alone could be a game-changer in a country where not everyone is comfortable in English.

Now, let’s be real. The global giants are still way ahead when it comes to polish, features, and user base. But “M” isn’t trying to beat them at their own game. It’s trying to create something that feels local, flexible, and ours. And that makes the comparison less about who’s better and more about who’s building for whom.

Conclusion

NxtGen’s “M” is more than just another AI tool — it’s AI that can act, not just talk. Built for India, it’s open-source, multilingual, and designed to keep data local while helping businesses, public services, and individuals get things done faster. There are still challenges ahead, but “M” shows a glimpse of AI that’s practical, accessible, and truly Indian. It’s a step toward putting the power of AI in everyone’s hands.

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