---
language:
  - en
  - hi
  - te
license: apache-2.0
datasets: []
pipeline_tag: text-generation
tags:
  - foundation-model
  - instruction-following
  - multilingual
  - investor-preview
  - placeholder
---
# SANCHARI — v0.1 (Investor Preview)

Sanchari is an upcoming instruction-following AI foundation model designed for
Indian users, multilingual applications, and next-generation AI assistants.

This repository is an **investor preview**.  
No model weights are uploaded yet.  
Training begins once project funding is approved.

---

## 🚀 Vision
To build India’s most practical, multilingual AI model optimized for:

- Smart assistants  
- Real-time Q&A  
- Summarization  
- Content generation  
- Business automation  

---

## 📌 Current Status (v0.1)
- Repository created  
- Model card published  
- Demo placeholder will be added  
- Data licensing & compute setup pending  
- Training begins after funding

---

## 🧠 Planned Model Family

### **Sanchari-S (200–350M)**  
- First lightweight prototype  
- Fast inference  
- Suitable for apps & APIs  

### **Sanchari-M (1–3B)**  
- Stronger reasoning  
- Better instruction-following  

### **Sanchari-L (7B+)**  
- Full foundation model  
- Enterprise-grade multilingual intelligence  

---

## 🛠️ Roadmap Overview

### **Phase 1 (0–3 months)**
- Dataset acquisition  
- Tokenizer creation  
- Train Sanchari-S  
- Publish evaluation & demo  

### **Phase 2 (3–9 months)**
- Train Sanchari-M  
- Safety testing  
- API + product demo  

### **Phase 3 (9–18 months)**
- Train Sanchari-L  
- Optimization  
- Market launch  

---

## 📈 Market Opportunity

India has 1.4 billion users across dozens of languages, yet most AI models are optimized for Western datasets.
Sanchari focuses on:

Indian English, Telugu, Hindi

Local accents

Local knowledge

Culturally aligned reasoning

Vernacular business workflows


Target Markets:

Enterprises adopting AI

Customer support automation

Healthcare conversational assistants

FinTech support & KYC automation

Education & e-learning

Government services (Digital India)


Projected TAM (India AI Assistants): $3.5B+ by 2027


---

## ⚡ Competitive Advantage

Sanchari is designed specifically for Indian users, unlike global models trained mostly on Western data.

Key differentiators:

Native support for Telugu + Hindi + Indian English

Dataset curated for Indian knowledge, culture, and business workflows

Lightweight model versions for on-device and low-compute deployment

Faster inference

Lower cost for Indian startups

Can be embedded into apps & enterprise workflows

Privacy-friendly deployment options



---

## 🔧 Technical Architecture (High-Level)

Tokenizer

Multilingual tokenizer optimized for Indic languages

Handles mixed-script text (Eng + Indic)


Model Family

Sanchari-S (200–350M) — prototype

Sanchari-M (1–3B) — mid-range

Sanchari-L (7B+) — flagship foundation model


Training Stack

PyTorch + DeepSpeed

FlashAttention

LoRA adapters for efficient instruction tuning

Multi-GPU distributed training



---

## 💰 Funding Plan (Seed: ₹25,00,000)

Where the funds go:

Category	Cost

Multilingual licensed datasets	₹6,00,000
Compute for training S, M models	₹12,00,000
Storage, inference, and deployment	₹3,00,000
Evaluation, safety testing	₹1,00,000
Team & operations	₹3,00,000


Deliverables to Investors:

Checkpoints for Sanchari-S and M

Evaluation results

Demo API

Weekly updates



---

## 👤 Founder

Srikanth B.
AI & product innovator focused on practical, multilingual AI solutions for India.
Experience across product development, engineering leadership, and AI adoption for scalable business use cases.

Email: boorgalasrikanth@gmail.com


---


## 📩 Contact
Founder: **Srikanth**  
Email: **boorgalasrikanth@gmail.com**