We build the ecommerce platforms and AI systems Indian businesses actually run on.
Ecommerce platforms with GST built in, AI agents and automation that reach production rather than stalling at the pilot, and ready applications we brand and customise for you. Senior engineers embedded in your team, from the first discovery call to the day it goes live and after.
Three live client platforms, our own products, and a documented delivery method. Judge us on what runs, not on a logo wall.
AWSOfficial Partner
Google CloudOfficial PartnerAWSOfficial PartnerGoogle CloudOfficial PartnerThree lines, and they are not the same purchase.
One is a platform we build for you. One is engineering we do inside your team. One is a product we already have, branded and customised for you. Knowing which you need is usually the first conversation.
Ecommerce platform development
Your own platform rather than a rented one. Storefronts, marketplaces and B2B, with GST invoicing, UPI and Indian payment gateways handled properly instead of bolted on with plugins.
AI that reaches production
Consultation, automation, agents and complete custom applications. Delivered by senior engineers embedded in your team who stay until the system runs in production, not by a consultant who hands over a report.
Applications ready to brand
Three applications we host, brand and customise for you: a support desk, a WhatsApp CRM with automation and AI, and an ecommerce platform with GST built in. Weeks, not a year, and you own what you get.
A method that ends in production.
Most AI work in India stops at a pilot that impressed a room and then went nowhere. Getting a demo to answer well and getting a system to run reliably are different problems, and the second one is the job. This is how we do it.
Discover
We look at your data, your use case and what production would actually take. You get a costed path, not a proposal full of maybes.
Design
Architecture, model choice, and the checks we will judge it by. Agreed before anybody writes code, so nobody argues about done later.
Build
Senior engineers writing code inside your environment, alongside your team. You watch it get built rather than waiting for a handover.
Deploy
Live, monitored, and on your own servers or private cloud where your data governance needs it. This is the stage most AI projects never reach.
Optimize
Evaluated against the checks from stage two, tuned for cost, and watched for drift. We stay until it runs without us.
The same method our founder is writing a handbook on: The Forward Deployed Engineer Handbook.
What you are actually buying.
Embedded, not handed over
Our engineers work inside your team and your environment. The difference from a consultancy is that we own the outcome, and the difference from a contractor is that we ship a working system rather than billing hours.
A method with a name
Discover, Design, Build, Deploy, Optimize. Written down, followed on every engagement, and the same one our founder is writing a handbook on. Most firms selling AI services in India have no documented method at all.
You own everything
Your platform, your data, your servers, your source code. No per-seat licence that grows with your team, no commission on your orders, and nothing that stops working the day our contract ends.
Senior engineers only
No juniors on client work. Embedded engineering only works when the person embedded has shipped this before, so that is the only kind of person we send.
Platforms running in India right now.
Every one of these was designed and engineered here, end to end, and every one is live and trading. Published with the client's permission.
Lia Fashion
A fashion boutique selling online and over the counter, on one stock pool. Web store, admin, in-store POS and supplier purchasing in a single Laravel platform.
Leats
Fresh meat and seafood delivered on an own fleet, on a platform that knows a whole fish is not the thing it sells. Storefront, warehouse, processing, delivery and finance in one system.
Sai Nandhini Tasty World
A Madurai sweets and bakery brand shipping across India. Next.js 16 storefront and admin, with pack sizes, weight-slab shipping, courier tracking and invoices that generate themselves.
The ones we get asked.
Three things. We build custom ecommerce platforms with GST, UPI and Indian payment gateways handled natively. We deliver AI work that reaches production: consultation, automation, agents, and complete custom applications. And we offer three ready products we brand and customise for you: MnT AI Desk, MnT AI CRM and MnT Commerce India.
A senior engineer works inside your team and your environment, designing and building your system and staying until it runs in production. It is not consulting, because we write and own the code. It is not staff augmentation, because we own the outcome rather than billing hours. Our method is Discover, Design, Build, Deploy, Optimize.
Because getting a model to answer well in a demo and getting a system to run reliably in production are different problems. Production needs evaluation, monitoring, cost control, security review and integration with systems that already exist. That deployment work is what we do, and it is why we stay past the build.
MnT AI Desk and MnT AI CRM start from mature open-source platforms, which is exactly why you get them in weeks instead of a year. We add our own AI layer, your branding, your integrations and our support on top. MnT Commerce India is our own closed-source product, built on the Medusa commerce core with an India GST layer we wrote ourselves.
Yes. Every product and platform we deliver can run on your own infrastructure or your private cloud. For AI work where data governance requires it, we deploy on-premise. Your data never has to leave your environment.
Book a strategy session and tell us the bottleneck. For AI work the usual first step is a short discovery: we assess your data, the use case, and what reaching production would take, and you get a costed path before committing to a build.
Tell us the bottleneck. Leave with a plan you can execute.
A senior consultant, not a salesperson. Bring the problem you have not been able to solve and we will map how we would build it: the data model, the systems it has to touch, and what reaching production would take.