Sanchari

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.

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🚀 Vision

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

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

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📌 Current Status (v0.1)

• Repository created
• Model card published
• Demo placeholder will be added
• Data licensing & compute setup pending
• Training begins after funding

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🧠 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

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🛠️ 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

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📈 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

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⚡ 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

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🔧 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

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💰 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

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👤 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: [email protected]

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📩 Contact

Founder: Srikanth
Email: [email protected]