Mind and Data: The Two Forces Shaping Everything.

MindNdata harnesses artificial intelligence and deep tech to solve real-world problems at scale. Anchored in the principle that data, correctly consumed, becomes intelligence, we innovate across consumer software, healthcare, and sustainable tech.

Proudly rooted in India's civilisational heritage and aligned with the Viksit Bharat 2047 vision, we build from local foundations to deliver global impact.

Focus Areas:Artificial Intelligence, Deep Tech, Healthcare, Environmental Solutions, Consumer Software.
Guiding Ethos:Make in India for the world.
Core Mission:Better Human, Better Planet.

Better human, better planet.

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Pockit
Live

Every time you save something on your phone, whether it is an Instagram reel, a YouTube short, a screenshot or a link, you run into five problems at once. Pockit solves all five together.

01

In acquisition we have invented one of the fastest saves globally, which is the one-second save. We fixed the time issue by letting the user save any item in under a second. All they have to do is choose Pockit from the share sheet.

02

Processing pulls the real content behind the save, using multiple integrations, APIs and intelligence layers, and our AI writes the title, summary and description and categorises it using vector mathematics, all under 10 seconds.

03

We make it searchable by meaning, and we deliver high-quality retrieval even on vague queries, using vector mathematics. We also use an HNSW index inside pgvector, so whether you have ten items or ten thousand, the search speed stays a consistent three to four seconds.

Our acquisition is fast, our processing is high quality, our retrieval is smart.

Pockit onboarding: save from anywhere
AI categories in Pockit
Time to save one item
Pockit1s
Saving it the usual way~10s
Under ten seconds, on our servers
Share sheet Fetch Vector
Title Summary Description Category
ClaudeRabbit
Live Open source

Open source ships malware, too.

Paste any public GitHub repository. ClaudeRabbit clones it into a disposable, hardware-isolated sandbox, runs it for real, and hands back one honest safety score.

Most scanners only read the code. ClaudeRabbit runs it. When the code tries to phone home or lift a credential, ClaudeRabbit forges a convincing reply, lets the malware believe it got through, and catches it in the act. You get a verdict with evidence behind it instead of a blind "safe."

It ships as a web app, an MCP server, and a CLI, so Claude and any other coding agent can check a repository before it ever clones one. Free, and open source.

Read the code, or run it
Scanners
reads the source
ClaudeRabbit
executes it in a sandbox, forges the reply, catches it
clauderabbit.in
The ClaudeRabbit website
Output
In progress

AI Native Business Operating System.

Output is an autonomous, agentic business operating system. An agent here holds a role rather than answers a prompt, so the work carries on while the founder is away from the desk.

Every agent has a designation, knows what it costs, follows a standard operating procedure, works to completion, and reports. A chatbot is bounded by one person's attention. A role is not.

Agent resources
Operations filed
Research running
Outreach running
Runs to completion Reports back
In progress

One of the most accessible ways to digital eye care.

We have innovated a system that lets anyone get a proper medical grade eye test from their mobile, using AI and Voice Intelligence. It works across multiple global and Indian languages.

1 in 4 Indians has a refractive eye problem. A quarter of the country needs vision care.

The Treye home screen
Treye insights: screen time and your eyes
Profile

Adhiraj Singh

Founder and CEO of MindNdata

About

I'm a young founder from India. I take a product from the first idea to the day it ships, and I work across the whole stack to get there: the backend, the frontend, the infrastructure, and the AI underneath.

Most of my time goes into my own products and the startups around them. I've also worked in my family's real estate, car finance, and digital marketing businesses, where I make the videos and creatives, build the websites, and run the Meta and Google ad campaigns for clients. I build in public, so people can watch the work as it happens.

Before any of it

I built the foundation first. Fundamentals, concepts, and a way of thinking. I spent that time learning how to reason from first principles, how a business actually makes money, how markets move, and the psychology that makes marketing work. I took AI and the technology under it apart until I understood it. And I learned to plan long, and to hold a strategy past the point where it stops feeling exciting. The products came after. They were easier because of it.

What I work with

My core is AI and agentic systems. I design multi-agent setups, build on the Model Context Protocol, do a lot of prompt engineering and computer-use work, and build with language and vision models across most of the major providers. Around that, I'm full-stack. Python, the JavaScript and TypeScript world, React, Next.js, and Flutter up front, with backend services, APIs, databases, and vector search behind them.

I design the systems the products run on. That's the pipelines, the cloud infrastructure, the deployment, and the local-first setups where everything runs on your own machine. I'm comfortable closer to the metal too, in Windows internals and security, and in how latency and hardware set the ceiling on what an app can do. The media is mine as well. I shoot the video, cut the motion graphics, and handle the design and SEO.

How I think about business

I build as a founder as much as an engineer. I pay attention to unit economics, how a product earns, what it costs to bring in a user, and what that user is worth over time. I follow how startups raise money and get valued from the earliest rounds onward, and I keep a close read on where Indian startups are heading. Most of that comes from doing the work: running campaigns, building for clients, and spending time around founders and investors rather than reading about them.

Academics

I kept a strong academic record before my work took over. I was preparing for IIT-JEE earlier on, won gold in the SOF Mathematics Olympiad in both Class 7 and Class 8, topped my school, and placed AIR 82 in ResoSTART.

Outside the work

I'm mostly self-taught, and I learn fastest by pulling something apart to see how it works. I want to know why things run the way they do, which is what pulls me into markets, society, politics, and the psychology behind marketing. When I'm not building, I read, mess with puzzles and mechanical things, and experiment with food. Cars and engineering hold my attention, and so do the subjects I keep circling back to: tech and business, startups and innovation, AI, economics and finance, venture capital, geopolitics, and the case studies behind all of it.

Where I've been

I spend most of my time in India's builder and startup world. At the India AI Impact Summit 2026 in Bharat Mandapam, I talked with founders from hundreds of Indian and international startups, and with around 50 international delegates from the UK, France, Japan, Italy, Germany, and Serbia. I also went to Startup Mahakumbh, the UP International Trade Show, and the national Skill India competition.

Along the way I've met delegates from Meta, Google, Microsoft, OpenAI, and NVIDIA. I've met Ansh Mehra, founder of The Cutting Edge School, and Jaiwardhan Tyagi, founder of Neurapex AI, from Shark Tank India. And I've met Union Minister Ashwini Vaishnaw, who holds Railways, Information & Broadcasting, and Electronics & IT.

Some of the founders, researchers, and policymakers I've connected with:

  • ONESTRUCTION , a Tottori-based Japanese startup building openBIM and AI tooling for the construction industry.
  • The team at Prisme.ai , a French enterprise platform for sovereign, governed agentic AI.
  • Dr Susan Oman , who leads work on AI and inequality at the University of Sheffield's Centre for Machine Intelligence.
  • Elise Tassin of Positive AI, the French non-profit behind a responsible-AI label, founded by Orange, L'Oréal, BCG X, and Malakoff Humanis.
  • The team at Apolitical , the global learning platform for public servants, with AI programmes backed by Google.org.
  • Union Minister Jayant Chaudhary (Skill Development & Entrepreneurship, and Education), who runs the Skill India programme.
The philosophy

Data, correctly consumed, becomes intelligence.

Mind and data. The processor and the input. Put them together properly and intelligence comes out, whether the mind is yours or built. That is where the name came from.

01

Every action meets an equal and opposite reaction.

Newton wrote it down three hundred years ago and nobody has repealed it since. Nothing comes from nowhere.

02

A machine is that law cast in metal.

Take the casing off anything ever built and that is the whole of it.

Input processing output
03

What you consume is what you produce.

You run the same cycle. The brain is the processor, and the processor is the asset.

04

All of it arrives as data.

The book you read, the reel you scrolled past at two in the morning. Both land in the same slot, and raw data is noise.

Better human, better planet.

What we point the intelligence at is the simple part. That's the whole reason. Everything we build has to answer to it, and if it can't, we don't ship it.