An engineering company
that happens to build AI
We started by helping educators teach online without losing control of their content. That turned into an assessment platform, then a state AI literacy programme, then a set of automation tools for people the software industry usually ignores.
Products first,
positioning second
Antargyan AI Private Limited builds and operates software. We are not a consultancy that also has a product, and not a product company that takes services work to fill gaps — the two feed each other. Client engagements surface problems worth productising, and the products prove we can deliver.
We work in education, government, healthcare, and small business, mostly in India. That focus is deliberate: multilingual interfaces, unreliable connectivity, and users on older devices are not edge cases in our work, they are the default assumptions.
From one platform to a portfolio
Education technology
Started with a straightforward goal — let independent educators teach online without surrendering their content. That became RioPlay and the Antargyan marketplace.
AI in assessment
Institutions had the harder problem: assessment at volume. Question generation, onscreen evaluation, and learning analytics grew into the Antargyan Assess suite.
Public scale and automation
A state AI literacy programme with Balbharati across roughly 200 schools, alongside a growing set of messaging-first automation tools for healthcare, field operations, and public services.
What we are actually good at
Cloud architecture
Azure and Cloudflare deployments sized for the actual load, with the cost model understood before launch.
AI and machine learning
Custom models, NLP pipelines, and LLM integration measured against a stated accuracy bar.
Computer vision
OCR, handwriting recognition, and visual inspection across Indian scripts and real-world scan quality.
Data and analytics
Analytics that answer a question someone asked, surfaced where the decision is actually made.
Security and compliance
Encryption, access control, and audit trails designed in, because retrofitting them into a live system is far more expensive.
Interface engineering
Interfaces for mixed literacy and mixed language users, on the devices they own rather than the ones we would prefer.
Four commitments we hold ourselves to
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.
Let's talk about your problem
We are a small team and we answer our own enquiries. You will hear back from someone who can actually assess the work.
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.