Mynd LabsPitch · 2026
Mynd Labs · Cognitive infrastructure · Thrissur, India
An ecosystem is earned, not declared.
One connected surface across intelligence, work, communication and finance. Built one retained user, one trusted product, one compounding loop at a time.
A research lab at its core. Mainstream AI and quantum research, with our own models in stealth, already in testing.
[ 00 ] CoverFounder and Lead Engineer · Yethikrishna R
[ 01 ] The founder
Yethikrishna R builds Mynd Labs full-time, alone.
Founder and Lead Engineer. No co-founders. Every product, site and system in this deck is designed, engineered and shipped by one person, full-time, alongside independent research across mainstream AI and quantum. The lab's own models are in stealth, already in testing.
Compyle (YC F25)Coordinator and founding member
AnthropicAmbassador
Gen DigitalNorton Neo Ambassador, founding cohort
Accio by AlibabaFellow
GitHub180 original projects · github.com/yethikrishna
founder.myndlabs.tech
[ 02 ] The research
A research lab to the core.
Products are what the lab ships, not what the lab is. Mynd Labs runs independent research across mainstream AI and quantum, alongside every product in this deck.
Active
Mainstream AI research
Independent work across mainstream AI, run inside the lab, alongside the products it ships.
Active
Quantum research
Independent work across quantum, under the same roof as the AI research and the products.
Stealth
Our own models
The lab's own models, in stealth and already in testing. Names and numbers stay private for now.
The $100K ask in this deck exists because of this lab: we are heavily investing in building our own AI models, alongside the products it ships.
[ 03 ] The idea
AI is a tool.
We make it the worker.
Software still waits for people to do the work. y0 takes the whole task instead: describe the outcome, and an autonomous worker plans, browses, codes and executes on a machine of its own, then delivers. That is the wedge. The platform and the ecosystem come after it is earned.
[ 04 ] How it works
Status · Live in beta
y0, the autonomous workforce in the cloud.
y0.myndlabs.tech
- Describe the task. A sentence is enough: research a market, build the deck, clean the dataset, watch the competitor.
- A dedicated machine spins up. Each chat gets its own cloud computer, not a shared sandbox.
- It connects to real tools. Browsers, terminals, files and thousands of app connections through MCP.
- It delivers, and keeps working. Finished documents, sheets, sites and slides, plus scheduled runs that repeat without being asked again.
[ 05 ] The stack
Built around y0, in the open.
Live
Ezhuthaani
The IDE. A fast, simple code editor with terminal, Git and GitHub in one window. Free for macOS, Windows and Linux.
ezhuthaani.myndlabs.tech
Live
LevelCode
The open-source AI coding agent, Apache 2.0. Edits a codebase and runs terminal commands from natural language. No account required.
levelcode.myndlabs.tech
In build
Palaka
The agentic development environment. Software creation where agents do the driving, built on the same stack as the editor.
In build
Nool
A custom browser built on the Servo engine, written to be the surface autonomous workers actually use.
In build
Mesh
The agent-to-agent network. Secure collaboration between AI agents, so workers built anywhere can coordinate.
[ 06 ] The institutions
One lab, many fields.
Mynd Labs runs its own institutions, each live on its own site under myndlabs.tech.
Mynd Financial Services
A financial institution for the industry, and for itself.
finance.myndlabs.tech
Mynd Healthcare
Know, do, make and report across the health sciences.
healthcare.myndlabs.tech
Mynd Education
Learning, taught well. Tools for learners, educators and institutions.
education.myndlabs.tech
Mynd Retail
Retail ideas, made practical. Store chains, marketplace and local delivery in development.
retail.myndlabs.tech
[ 07 ] Where we are
Early, honest, and moving.
The first users found y0 on their own. No revenue yet, no investors, no co-founders. Everything in this deck was built by one person without a budget, which is the point of applying to this fund.
[ 08 ] The opportunity
How big could it get.
Mynd Labs builds across the growing market for AI-assisted work, developer tools, learning and research. y0 brings autonomous AI workers to people and teams; Ezhuthaani and Palaka support software creation. Nool explores a new browser, while Mesh addresses secure collaboration between AI agents. If these tools earn trust with individuals and organizations, the opportunity spans the many ways people work, build software and learn.
[ 09 ] The ask
What the fund unlocks.
We ask for $100K because we are heavily investing in building our own AI models too, alongside the products in this deck.
- y0 from beta to launch. More machines, more users, and the reliability work that turns early users into retained ones.
- The stack from prototype to product. Ezhuthaani, Palaka, Nool and Mesh shipped beyond their first releases.
- Full-time, without pause. The founder already builds every day. The fund removes the excuses, which is what it is for.
[ 10 ] Contact
Talk to the founder.
Yethikrishna R · Founder and Lead Engineer, Mynd Labs · Thrissur, India
Mynd Labs · An ecosystem is earned, not declared.Pitch · 2026
