We build AI systems.
Then we run them.
Antargyan AI builds and operates production software for education, government, healthcare, and small business. Everything on this site is a system with real users behind it — not a capability deck.

Software that is already in service
Four platforms carry most of our work. Each one started as a problem an institution actually had, and each is labelled with exactly how mature it is.
A learning platform built around content security — encrypted video, controlled access, and live streaming for people whose lectures are their livelihood. Runs today for educators, institutes, and a state police training division.
The assessment engine: generate curriculum-aligned question papers, evaluate answer sheets on screen with AI assistance, and read the results as analytics rather than spreadsheets.
An AI literacy programme and learning platform built with Balbharati for students in classes 6 to 10 — a 24-week curriculum with the platform, content, and assessment delivered as one system.
A marketplace where educators publish and sell courses without building an audience from nothing. Pairs with RioPlay so the same material can be sold openly and delivered securely.
Built together. Operated together.Engineering discipline,
applied to AI
A model that scores well on a held-out set is the easy part. The hard part is everything after: migrations that run without downtime, a rollback path when a model regresses, cost that stays predictable as volume grows, and an interface that works for a teacher in a district school on a three-year-old phone.
That is where most of our effort goes. We treat AI in production as a software engineering problem first, which is why the systems we deploy are still running years later.
Build with us when the product doesn't exist yet
Six capability areas, each proven by something we have already shipped.
AI product engineering
End-to-end product work: an idea becomes a system with real users, an operations story, and someone accountable for its uptime.
Applied ML and language models
Models built against your data and your accuracy bar, integrated into a workflow rather than parked behind a demo endpoint.
Computer vision and document intelligence
Turning paper and images into structured data — handwriting, forms, and scans, at the volumes that make manual entry untenable.
Conversational and messaging automation
Systems that live in Telegram or WhatsApp because that is where the users already are — multilingual, and designed for people who will never open an admin panel.
Cloud, edge, and offline-first
Deployment that matches the operating environment, including the environments where the network is unreliable or simply absent.
Public sector and institutional platforms
Portals and workflow systems for government bodies, boards, and regulated institutions, where the compliance and audit requirements are the specification.
What actually sets us apart
We ship, then we sell
Every capability on this site is behind something already running. The products are the portfolio.
Built for Indian conditions
Multilingual by default, offline-tolerant where it matters, and designed for the devices and connectivity our users actually have.
Engineering discipline
Migrations, observability, and a rollback path. AI in production is a software engineering problem before it is a modelling one.
We stay after launch
The team that built your system is the team that operates it. There is no handover to a support tier that has never seen the code.
What our clients tell us
Antargyan is innovative and process driven — they are the perfect technology and administrative partner. I am very happy with their products and services.
RioPlay is a great application tool — easy to use with multiple features. Their constant technical support and vision for innovation sets them apart.
RioPlay is the perfect tool that fits our requirement and delivers with 100% perfection. The live streaming capabilities are exceptional.
Have a problem worth engineering properly?
Tell us what you are trying to do. We will tell you what it would take, and whether we are the right people to do it.
Tell us what you're
trying to build
Describe the problem rather than the solution — we will tell you honestly whether AI is the right tool for it, and what it would take.