Makex India · A family-led technology initiative
We explore and prototype practical technology for everyday life, making useful capabilities easier to discover, access, coordinate and personalize.
From local commerce and learning to agent systems, mobility, personalized fabrication and resource-efficient AI.
01 / Ideas Worth Exploring
Some of our work begins as a prototype.
Some begins as a question.
Some stays an experiment.
We are interested in problems where useful capability already exists (in people, businesses, devices or infrastructure) but remains difficult to access or coordinate.
Make local capability visible.
Can a local business become discoverable before becoming fully digital?
Supporting local livelihoods through lightweight merchant presence, multilingual onboarding, demand-driven discovery and interoperable commerce.
Start from what the learner actually knows.
Can learning systems construct the path between where someone is and where they want to go?
Grounded tutoring, prerequisite discovery, adaptive explanation and evidence of usable capability.
Delegate work without delegating away control.
What happens when an agent remains responsible for something while its owner is unavailable?
Persistent responsibility, safe handoff, human authority, group agents and portable automation.
Use what already exists better.
Can we make spare capacity visible before creating more infrastructure?
Trusted ride discovery, public-transport edges, shared parking and delay-tolerant logistics.
Bring custom fit within reach.
Can specialist personalization be delivered through distributed local capability?
Professional guidance, digital design, flexible-material fabrication and local craft working together.
Useful intelligence under real-world constraints.
How much useful AI can we deliver using the devices, energy and connectivity people already have?
Small and local models, reused hardware, graceful degradation, delayed workloads and resource-aware computation.
02 / Things We've Actually Tried
We like thought experiments.
We like them much more once something has been built.
Accent On Health is an office canteen whose physical location made it easy for potential customers on other floors to miss.
We created a lightweight digital menu with direct WhatsApp ordering and placed QR-based discovery near higher-footfall areas such as office coffee machines.
The experiment was deliberately simple:
make an existing local business easier to discover without inserting a marketplace between the customer and vendor.
What began as a small practical intervention later helped shape our broader questions around local-commerce discoverability.
Career OS began from another ordinary problem:
job applications generate a great deal of information, but very little of it returns to the candidate as structured learning.
The prototype looks across opportunities and recurring requirements to distinguish between:
a capability that exists but is poorly represented
and
a capability that genuinely needs to be developed.
Repeated mismatch can then become input to a learning plan rather than disappearing into application history.
A retired Android phone does not necessarily need to become electronic waste simply because it is no longer a good primary phone.
We repurposed one as a small always-on computing node running automation and remote-access services through tools such as Termux, n8n, Tailscale and Cloudflare Tunnel.
Other experiments have explored exposing local AI runtime inside a trusted private network.
The larger question:
How much useful infrastructure can we extract from computing capacity people already own?
Small prototypes, technical explorations and code live across our GitHub and writing.
03 / Build · Explore · Enable
We are not trying to predict which idea must become a company.
The process matters more.
01 / Build
Create the smallest useful experiment.
Use existing technology where it works.
Build new machinery only where the problem actually demands it.
A prototype should teach us something that discussion alone cannot.
02 / Explore
A simple storefront can expose a question about economic discoverability.
A learning workflow can expose a prerequisite-graph problem.
A personal automation can expose questions about authority and responsibility.
We use prototypes to discover the deeper systems problem underneath them.
03 / Enable
Sometimes technology should replace an inefficient process.
Often it can instead help existing people and infrastructure do more.
A shopkeeper.
A teacher.
A cobbler.
A local fabrication studio.
A commuter.
A device someone already owns.
We are interested in systems that connect those capabilities rather than assuming everything valuable must first be centralized.
Across very different problems, we keep returning to a few principles.
Make invisible capacity visible.
Connect before centralizing.
Use what already exists.
Meet people where they are.
Automate friction, not authority.
Multiply Your Potential
The technology differs.
The aspiration is consistent:
help people, skills and systems do more with the capability they already possess.
That is what Multiply Your Potential means to us.
04 / The People Behind Makex
Makex grew from conversations and experiments among three brothers whose backgrounds span IIT, NIT and IIIT.
We have different strengths and professional paths, but share an interest in practical technology, systems thinking and problems whose impact extends beyond a single software feature.
We prefer to describe the work we contribute rather than force formal startup titles onto it.
We are here because many people invested in us, often without expecting anything back. We see Makex as one small way to carry that forward.
Read our note of gratitude →
Emerging technology & applications
BTech, IIIT Delhi.
Interested in new technologies, applications and how emerging capabilities can turn into things people actually use.
Compute systems & human experience
Graduate education spanning VNIT and Thapar Institute; GPU software engineer.
Brings experience closer to the computing layer together with a strong interest in how systems interact with people.
Systems, research & architecture
Master's by research, IIT Mandi; software engineer with experience across fintech and financial systems.
Explores problems from both directions: from an everyday problem toward enabling technology, and from emerging technology toward useful applications.
The banyan in our identity represents something we like about useful systems:
they grow outward while remaining connected to their roots.
Different branches can explore different directions.
What matters is that the structure underneath remains grounded.
05 / Where This May Lead
Some ideas may remain learning exercises.
Some may become open tools.
Some may lead to research, publications or patents.
Some may mature into products.
Some may lead to collaboration with organizations already working on the problem.
And where there is genuine alignment, some capabilities may eventually become technology services.
We are deliberately keeping those paths open.
The immediate goal is simpler:
find worthwhile problems, understand them properly, and build enough to learn what comes next.
Share a Problem Worth Exploring
We are interested in practical problems that are easy to ignore but difficult to solve well at scale.
If something around you repeatedly feels unnecessarily difficult (in commerce, learning, coordination, mobility, accessibility, computing or another everyday system), we would be interested in hearing about it.
You do not need a startup pitch.
A good problem is enough.
Research / technical collaboration? Reach us at [email protected]
