India's AI Language Platform

How AI4I Reaches Every Indian

AI4I gives any digital service the ability to speak, understand, and respond in every official Indian language — instantly, at scale.

See How It Works
0
Languages.
Constitutional Mandate Met.
0
Services.
One Sovereign Stack.
0
Integration.
Entire Language Stack.
~300ms
Real-time for
Real Citizens.

The Problem We Are Solving

Millions of people can't access digital services because AI doesn't speak their language. We're changing that.

India has 22 constitutionally recognised languages and hundreds of dialects. Yet most digital services work only in English or Hindi. AI4I bridges this gap — so every citizen can access government services, healthcare information, and financial tools in the language they think, speak, and live in.

The Four Building Blocks

The infrastructure India needs to make AI work for every citizen.

Four purpose-built blocks — each independently deployable, collectively powerful.

Block 01
🎙️
AI4I-Contribute
CONTRIBUTE
The building block for creating high-quality multilingual datasets — crowdsourced across India's regions, dialects, and domains.
Multi-modal data collection — speech, text, image, video
Human-in-the-loop validation and quality assurance
Domain-specific campaigns — agriculture, healthcare, education
Language, dialect, and accent coverage tracking
Every voice recorded makes AI smarter and more inclusive for every Indian language and dialect.
Block 02
🔀
AI4I-Orchestrate
ORCHESTRATE
A unified runtime layer that routes every AI request to the best-fit model — based on language, domain, cost, and policy.
Intelligent model routing with fallback chains
Policy-based governance and compliance enforcement
Vendor agnostic — integrates models from multiple providers
Cost-aware routing with SLA enforcement
It decides which model handles each request, ensuring everything lands safely and on time.
Block 03
📊
AI4I-Observe
OBSERVE
A unified observability layer that monitors Language AI performance in production — capturing telemetry, detecting quality drift, and providing actionable insights.
Real-time telemetry and event streaming
Quality drift detection and alerting
Drift & bias detection across languages and dialects
Feedback signals feeding directly into improvement pipelines
It watches every signal continuously, catches problems early, and ensures the system never silently degrades.
Block 04
📞
AI4I-VoicERA
VOICERA
A production-grade, open-source platform for citizen-scale, real-time, multilingual voice services with full on-premises data sovereignty.
Real-time streaming STT, LLM, and TTS pipeline
Indic-first with native code-switching support
On-premises Voice-in-a-Box — no mandatory cloud
SIP / PSTN / VoIP telephony integration
A citizen calls, speaks in their language, and the entire conversation is processed on Indian infrastructure, owned by India.

A Closer Look

Understanding AI4I-Orchestrate

You don't need to be technical to understand why this matters. Here's the honest picture — the problem, the solution, and what it means for India.

The Problem

Right now, government departments are flying blind with AI.

A typical ministry or state department trying to add language AI to their services has to deal with five or six different AI vendors — one for speech recognition, one for translation, another for document reading, perhaps another for chatbots. Each vendor has its own login, its own pricing, its own rules about where data is stored. Nobody has a single view of what's being used, what it costs, or whether it's working correctly. When something breaks, nobody knows which vendor to call. There is no governance. There is no accountability. And there is certainly no way to enforce that citizen data stays within India's borders.

🧩
Fragmentation
Multiple vendors, no unified view, every team integrating differently.
⚖️
No Governance
No way to enforce data policies, usage quotas, or national compliance rules.
🚫
No Visibility
No single dashboard showing what's running, what it costs, or whether quality is slipping.

The Solution

One connection. Every language AI capability. Full control.

AI4I-Orchestrate sits in the middle of everything. Instead of your application talking to five different AI vendors, it talks to Orchestrate — and Orchestrate handles the rest. It picks the best model for the job, enforces your data policies, tracks every request, and gives you a single place to see everything that's happening. If one model fails, it automatically falls back to another. If a vendor becomes too expensive, it routes traffic elsewhere. All of this happens invisibly, in milliseconds, without the application developer or the end citizen knowing anything changed.

🔀
Intelligent Routing
Sends each request to the model that handles it best — by language, domain, cost, and speed.
🛡️
Centralised Governance
One place to set data access rules, usage limits, and national compliance policies.
🔌
Vendor Agnostic
Works with models from any provider — open source or proprietary. No lock-in.
📈
Full Observability
Every request tracked. Quality, cost, and performance visible in one dashboard.
Automatic Fallback
If one model fails, Orchestrate switches to the next best option — automatically, instantly.
💰
Cost Awareness
Tracks usage and enforces quotas so AI operations stay within budget and accountable.

Where It Sits

Orchestrate is the engine room of the AI4I ecosystem.

Every other building block connects through it. Applications send their requests in. Orchestrate routes them to the right models. Observe watches the results and flags issues. Contribute uses those insights to improve the training data. The whole system gets smarter — and Orchestrate is the hub that makes it possible.

🏛️
Applications
Send AI requests
🔀
Orchestrate
Routes, governs, manages
📊
Observe
Monitors performance
🎙️
Contribute
Improves the data
✦ A Trusted National Language AI Infrastructure ✦
Explore AI4I-Orchestrate
Watch the demo or explore the open-source code on GitHub.
▶ Watch Demo ⌥ View on GitHub

Real People. Real Impact.

Who builds with AI4I-Orchestrate.

Orchestrate is built for the people who build for India — government teams, ministry technologists, and startups who want to reach every citizen without starting from scratch.

🏛️
State Government IT Team
Building a multilingual citizen portal
They needed speech recognition, translation, and document reading — all in 8 languages. Before Orchestrate, that meant contracts with three separate vendors, three separate integrations, and no single view of cost or quality. With Orchestrate, they connected once. Everything else was handled — routing, fallbacks, governance, and usage tracking — automatically.
✓ One integration replaced three vendor contracts
✓ Full governance and cost visibility from day one
📞
Central Ministry Helpline
National grievance redressal, 12 languages
Their helpline receives calls in Hindi, Tamil, Telugu, Bengali, and eight other languages. Each language used to be routed manually or dropped entirely if the right model wasn't available. Orchestrate now identifies the language automatically, routes each call to the best-fit speech model, enforces that no citizen data leaves the country, and logs every interaction for audit — all without any manual intervention.
✓ Zero dropped calls due to language. Full audit trail maintained.
🚀
AI Startup Building for Bharat
Vernacular AI assistant for rural users
They had a great product idea — a simple voice assistant for farmers to get crop advisories in their language. But building the language infrastructure from scratch would have taken a year and a team they didn't have. With Orchestrate, they plugged into a ready-made stack. Routing, fallbacks, compliance, and multi-language support were all already there. They focused entirely on their product — and launched in three months.
✓ Launched in 3 months instead of 12. Zero language infrastructure built in-house.

Step by Step

How AI4I-Orchestrate handles every request

An application sends one request. Orchestrate does six things in milliseconds — so the application never has to worry about which model, which vendor, or which policy applies.

Step 01

An application sends a single request — speech, translation, OCR, or LLM.

POST /v1/pipeline
{ "task": "translate",
  "lang": "hi→ta",
  "input": "नमस्ते" }
🔀

A government portal, helpline, or app sends one API call to Orchestrate. It could be a speech recognition request, a translation, a document scan, or an LLM query. The application doesn't need to know which model handles it — that's Orchestrate's job.

Step 02

Identity is verified and policy rules are enforced — before anything is processed.

Caller Verified
Quota Checked
Data Policy Enforced

Orchestrate checks who is making the request, whether they are within their usage quota, and whether the data access rules permit this operation. If citizen data must stay within India's borders, that rule is enforced here — automatically, every time.

Step 03

The language and task type are identified automatically — no manual configuration needed.

{ task: "translate" }
Input request
Detect
Hindi → Tamil
Language pair identified

Orchestrate reads the request and automatically identifies the language, dialect, and task type. No developer needs to hard-code which language model to call. Orchestrate figures it out — and picks the right model family for the job.

Step 04

The best-fit model is selected — with a fallback chain ready if it's unavailable.

Model A — Primary
Model B — Fallback 1
Model C — Fallback 2

Based on language, domain, cost, and performance requirements, Orchestrate selects the optimal model. If that model is unavailable or slow, it automatically falls back to the next best option — seamlessly, without the application knowing anything changed.

Step 05

The response is returned to the application — in under 400ms.

🔀
200 OK
{ "output": "வணக்கம்",
  "model": "IndicTrans-v2",
  "latency": "310ms" }

The model processes the request and Orchestrate returns the result directly to the application. The whole round trip — authentication, detection, routing, inference, and response — completes in under 400 milliseconds. Faster than the blink of an eye.

Step 06

Every interaction is logged, measured, and fed back for continuous improvement.

Request
Orchestrate
Logged
"orchestrateLog": {
 "requestId": "req_8f3a...",
 "model": "IndicTrans-v2",
 "latency_ms": 310,
 "policy": "data-residency-IN",
 "cost_units": 0.002,
 "status": "success"
}

Under the Hood

11 Building Blocks for Language-Inclusive Governance

Each service does one thing — and does it exceptionally well. Together they form a complete sovereign language stack for India.

🎤
ASR
Lets citizens speak in their mother tongue and be understood by any digital system.
e.g. A farmer asks about crop prices in Kannada — the system understands.
Automatic Speech Recognition
🌐
NMT
Bridges language gaps between citizens and services — across all 22 official languages.
e.g. A Tamil grievance is understood by a Hindi-speaking officer, instantly.
Neural Machine Translation
🔊
TTS
Speaks responses back to citizens in their own language — naturally and clearly.
e.g. Welfare scheme details read aloud in Odia to a first-generation smartphone user.
Text to Speech
🏷️
NER
Enables intelligent document processing in Indian languages — for forms, records, and grievance systems.
e.g. Picks out names, places, and organisations from any Indian-language text automatically.
Named Entity Recognition
📷
OCR
Digitises handwritten and printed Indian-language documents — making legacy records accessible.
e.g. Reads a scanned ration card or land record, even if it's in Odia or Punjabi.
Optical Character Recognition
🔤
Transliteration
Converts scripts while preserving how words sound — so names and places are never lost in translation.
e.g. "Bengaluru" stays "Bengaluru" whether in Kannada, Hindi, or English script.
Script Conversion
🗣️
Language Detect
Instantly identifies which Indian language a text is written in — so the right service is activated.
e.g. A mixed-language message is correctly routed to the right translation model.
Text Language ID
🎙️
Audio Language Detect
Identifies the spoken language from audio — before sending it to transcription.
e.g. A helpline caller speaks Marathi; the system routes them correctly without pressing any number.
Audio Language ID
👥
Speaker Diarization
Identifies who spoke when in a multi-person recording — for meetings, hearings, and interviews.
e.g. A panchayat meeting recording is split by speaker for accurate minutes.
Speaker Segmentation
🔀
Language Diarization
Segments recordings where speakers switch between languages — common in everyday Indian conversation.
e.g. A Hinglish call centre recording is correctly processed, language by language.
Code-Switch Detection
🤖
LLM
Conversational AI that thinks and responds in Indian languages — for helplines, portals, and citizen bots.
e.g. A citizen asks about pension eligibility — answered in their language, conversationally.
Large Language Model

22 Scheduled Languages

No citizen left behind because of the language they speak.

Every language recognised by the Indian Constitution — now with the full power of AI. 1.4 billion citizens served.

Plain Language Guide

What do these terms actually mean?

ASR
Automatic Speech Recognition
Technology that listens to a person speaking and converts their words into written text — like a transcriptionist who works in every Indian language.
TTS
Text to Speech
Technology that reads written text aloud in a natural-sounding voice — so digital services can speak back to citizens in their own language.
NMT
Neural Machine Translation
AI-powered translation between languages. Unlike old word-for-word translation, it understands meaning and context — producing natural, accurate results.
LLM
Large Language Model
An AI system trained on vast amounts of text that can understand questions and generate helpful answers — like a knowledgeable assistant who speaks your language.
OCR
Optical Character Recognition
Technology that reads text from photographs or scanned documents — making paper records digitally searchable and accessible.
DPI
Digital Public Infrastructure
Shared digital building blocks — like Aadhaar, UPI, and Bhashini — that governments build once so everyone can use them, like roads for the digital world.
DPG
Digital Public Good
Open-source technology built to serve the public interest — freely available, openly governed, and designed to benefit everyone rather than generate profit.
NER
Named Entity Recognition
Technology that automatically identifies important information — names, places, dates, organisations — in text, making documents machine-readable.

Built With & For India

Backed by institutions that have shaped India's digital journey.

Centre for Open Societal Systems
EkStep Foundation
IIIT Bangalore
NLTM · MeitY

Achievements and Milestones

AI4I in the world.

🏆 Achievements
✓ Contribute available on the Bhashini Ecosystem as Bhashadaan ✓ Showcased Contribute at the InterSpecies Hackathon
📰 Press
Press mentions, media coverage, and publication links to be added here.
👥 Team
Built by engineers, linguists, and policy experts across COSS, EkStep & IIIT-B.

Ready to Build for Bharat?

India's Sovereign Language AI —
Built for Bharat, Owned by India.

If you are building a digital service for Indian citizens, AI4I removes every language barrier — in one integration.