Potential beyond labels
Your background is a starting point, not a limit on your potential. We help you find a suitable path and are clear about the preparation it requires.
ABOUT HEXAI LABS
Human potential.
Our reason to build.
AI is the subject we teach. Helping people become more capable is the reason we teach it.
WHY WE EXIST
Talent deserves a place.
Curiosity deserves a chance.
HexAI Labs is built around a simple belief: the desire to learn should have somewhere to grow. Someone ready to ask questions, put in the work and build something meaningful deserves the opportunity to begin—whatever their background or financial circumstances.
Our vision is to bring AI education within reach of every aspiring learner. A student discovering their potential, a professional exploring a new direction, or a builder with an idea should find guidance, encouragement and room to practise here. Financial difficulty should lead to a conversation about support, not the end of that ambition.
Our monthly membership helps sustain the lab and the teaching it makes possible. It is a contribution towards keeping that learning space running—not a measure of the value of knowledge or of the person learning. Through individually reviewed fellowships, we work to balance that sustainability with support for people who cannot afford the standard membership.
OUR PRINCIPLES
What we choose to stand for.
Understanding before hype
We value useful questions and honest evidence over impressive claims. Knowing when not to use AI matters as much as knowing how.
Progress with responsibility
Capability includes care for the people affected by our work. Privacy, reliability and human judgment belong in the conversation from the beginning.
OUR MISSION & VISION
A purpose for today.
A possibility for tomorrow.
We are building a lab where learning creates independence—and where that independence can make a difference beyond the classroom.
Our mission
Make AI understandable and useful through thoughtful teaching, practical exploration and honest feedback. Help each learner develop the judgment to apply it to problems that matter to them.
Our vision
A future where people from different backgrounds can participate meaningfully in AI: not only using what others create, but questioning it, improving it and building for the needs of their own communities and workplaces.
OUR MOTTO
Ability to pay should not decide
who gets to learn. Commitment should.
Membership contributions help us sustain the teaching. Financial circumstances shouldn’t stand in the way of your commitment to learn. We want to make space for both a sustainable lab and people who need support to participate.
This is a principle we put into practice through individually reviewed fellowships, not a promise of automatic fee waivers. Support depends on genuine need and what the lab can responsibly offer, with the same respect and learning expectations for everyone.
HEXAI LABS FELLOWSHIP
Financial circumstances change.
Your curiosity can keep growing.
For people ready to learn, but unable to afford the ₹6,000 monthly fee at this point in their lives.
The HexAI Labs Fellowship offers individually reviewed fee support for learners facing financial constraints. Depending on your circumstances and the support available, an approved fellowship may reduce the monthly fee or cover it in full.
Programme fees sustain the teaching, space and guidance we provide. Fellowships make room for genuine need while keeping that work sustainable. The learning experience and expectations remain the same.
Already joined? Open your student panelA place to start
Support to continue
Room to grow
SAME LEARNING. ROOM FOR REAL CIRCUMSTANCES.BEFORE YOU APPLY
Support with clarity, care and shared responsibility.
For a genuine financial constraint
Apply if the standard ₹6,000 monthly fee, including taxes, is currently beyond your means. Tell us what has changed or what makes the fee difficult for you.
A commitment to learning
Be ready to attend your agreed weekend sessions, practise between classes and communicate with the team if your circumstances change.
Reviewed individually, not guaranteed
Approval, the fellowship plan and the level of support depend on a review by HexAI Labs management, your circumstances and available support. Approval is not guaranteed; submitting a request does not itself change your fees.
Clear terms before support begins
Your decision and approved monthly contribution appear in the student panel. Support applies to eligible future monthly charges, not charges already raised. Ask us if any terms are unclear.
Evidence may be requested privately
Management may ask for relevant supporting evidence to assess your request. The team will explain what is needed and how to share it privately. Share only the information necessary for the review.
Honest information is essential
False or misleading information, falsified evidence or concealment of relevant facts may lead to rejection or cancellation of a fellowship. The team will explain the decision and any change to future fees; you may contact us to clarify or correct the information.
Share only what is necessary
Give an honest explanation in your own words. Do not upload or include bank account details, identity numbers, passwords or sensitive documents in your request.
A SIMPLE, PRIVATE PROCESS
From your first step to a conversation.
-
Join HexAI Labs
Submit your programme enrollment request and sign in to your student panel.
-
Open Fellowship
Choose Fellowship & support in the student panel and select your programme.
-
Read & acknowledge
Read the eligibility guidance and terms. Continue if they fit your circumstances.
-
Tell us your reason
Explain the financial constraint and the support that would help you continue learning.
-
Submit. Let’s have a chat.
Your request goes to the team for private review. We’ll contact you to understand your needs and discuss the next step.
THE IMPACT WE WORK TOWARDS
Beyond the classroom.
These are our ambitions, not claims of results already achieved. They guide how we teach and what we look for in learners’ work and feedback.
More confident decisions
People who can question an AI-generated answer, recognise its limitations and decide what deserves their trust.
Useful local solutions
Learners bringing their own knowledge to problems in their work, studies and communities—not just reproducing a demonstration.
Knowledge that travels
People who can explain what they have learned and help others understand it, extending the value of learning beyond one person.
HELP SHAPE WHAT COMES NEXT